diff --git a/apps/fluent-charts-mcp/.npmignore b/apps/fluent-charts-mcp/.npmignore new file mode 100644 index 00000000000..0db184afeaa --- /dev/null +++ b/apps/fluent-charts-mcp/.npmignore @@ -0,0 +1,10 @@ +src/ +tsconfig.json +node_modules/ +*.log +logs/ +temp/ +output/ +.DS_Store +.git/ +.gitignore diff --git a/apps/fluent-charts-mcp/LICENSE b/apps/fluent-charts-mcp/LICENSE new file mode 100644 index 00000000000..64756dc8380 --- /dev/null +++ b/apps/fluent-charts-mcp/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 Anush Gupta + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE diff --git a/apps/fluent-charts-mcp/README.md b/apps/fluent-charts-mcp/README.md new file mode 100644 index 00000000000..3c360afe869 --- /dev/null +++ b/apps/fluent-charts-mcp/README.md @@ -0,0 +1,260 @@ +# Fluent Charts MCP Server + +A Model Context Protocol (MCP) server that executes Python Plotly code and captures Fluent UI chart renderings as images and ready-to-use React components. + +## Features + +- ✅ Execute Python Plotly code safely +- ✅ Auto-convert Plotly charts to Fluent UI DeclarativeChart format +- ✅ Capture chart images (PNG) via Puppeteer +- ✅ Generate ready-to-use React components with embedded schemas +- ✅ Support for multiple charts per execution +- ✅ Automatic Python environment validation +- ✅ Session-based output organization + +## Prerequisites + +### Required Dependencies + +1. **Node.js 18+** - For running the MCP server +2. **Python 3.8+** - For executing Plotly code +3. **Python Packages** - `plotly` and `kaleido` for chart generation + +### Quick Setup + +```bash +# Install the MCP server +npm install @fluentui/fluent-charts-mcp + +# Start the server (will auto-install Python packages if needed) +npm start +``` + +### Manual Python Setup + +If auto-install fails, install manually: + +**Windows:** +```powershell +# Install Python +winget install Python.Python.3.12 + +# Install required packages +python -m pip install --user plotly kaleido +``` + +**macOS:** +```bash +# Install Python +brew install python@3.12 + +# Install required packages +python3 -m pip install --user plotly kaleido +``` + +**Linux:** +```bash +# Install Python +sudo apt update && sudo apt install python3 python3-pip + +# Install required packages +python3 -m pip install --user plotly kaleido +``` + +## Usage + +### As MCP Server + +Add to your MCP configuration file: + +```json +{ + "servers": { + "fluent-charts": { + "command": "npx", + "args": ["@fluentui/fluent-charts-mcp"] + } + } +} +``` + +### As Standalone Server + +```bash +# Start the server +npm start + +# Server will be available at http://localhost:8100 +``` + +### REST API + +Execute Python code directly via REST: + +```bash +curl -X POST http://localhost:8100/tools/execute-python-and-capture-chart \ + -H "Content-Type: application/json" \ + -d '{ + "pythonCode": "import plotly.express as px\nfig = px.bar(x=[\"A\", \"B\"], y=[1, 2])", + "outputFormat": "png", + "timeout": 30000 + }' +``` + +## API Reference + +### Tool: `execute-python-and-capture-chart` + +Executes Python Plotly code and returns chart images + React components. + +**Parameters:** +- `pythonCode` (string, required) - Python code to execute +- `outputFormat` (string, optional) - Image format: "png" (default), "jpg", "jpeg" +- `timeout` (number, optional) - Execution timeout in milliseconds (default: 30000) + +**Returns:** +- Chart images as base64-encoded data +- Ready-to-use React component code with embedded schemas +- Files saved to `output/charts//`: + - `chart_N_name_fluent_chart.png` - Chart image + - `chart_N_name_fluent_chart.tsx` - React component + +### Generated React Components + +Each chart generates a React component with: + +```tsx +/** + * DEPENDENCIES REQUIRED: + * npm install react react-dom @fluentui/react-charts + */ +import * as React from 'react'; +import { DeclarativeChart, Schema } from '@fluentui/react-charts'; + +export const ChartComponent = () => { + const schema: Schema = { /* embedded Plotly schema */ }; + return ; +}; +``` + +## Environment Validation + +The server automatically validates your Python environment on startup: + +``` +✅ Python environment ready: Python 3.12.0 +``` + +If issues are detected: + +``` +❌ Python Environment Issue: +Python 3.8+ not found. Install from: https://python.org/downloads/ + +⚠️ Server will start but chart generation may fail without Python setup. +``` + +## Examples + +### Basic Usage + +```python +import plotly.express as px + +# Create a simple bar chart +data = {'Product': ['A', 'B', 'C'], 'Sales': [100, 150, 80]} +fig = px.bar(data, x='Product', y='Sales', title='Sales by Product') +``` + +### Multiple Charts + +```python +import plotly.express as px +import plotly.graph_objects as go + +# Chart 1: Bar chart +fig1 = px.bar(x=['A', 'B'], y=[1, 2], title='Bar Chart') + +# Chart 2: Line chart +fig2 = go.Figure() +fig2.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6], name='Line')) +fig2.update_layout(title='Line Chart') +``` + +### Iris Dataset + +```python +import plotly.express as px + +df = px.data.iris() +fig = px.scatter(df, x='sepal_width', y='sepal_length', + color='species', title='Iris Dataset') +``` + +## Troubleshooting + +### Python Issues + +**"Python not found"** +- Ensure Python 3.8+ is installed and in PATH +- Download from: https://python.org/downloads/ +- Try `python`, `python3`, or `py` commands + +**"Package install failed"** +```bash +python -m pip install --user plotly kaleido +``` + +**"Permission denied"** +```bash +# Install packages for current user only +python -m pip install --user plotly kaleido +``` + +### Chart Generation Issues + +**"No charts captured"** +- Ensure your Python code creates `fig` objects +- Check that Plotly code is syntactically correct +- Verify `kaleido` package is installed for image export + +**"Download failed"** +- Check internet connection for Puppeteer to download Chrome +- Ensure sufficient disk space for temporary files + +### Server Issues + +**Port already in use** +```bash +# Use different port +PORT=8101 npm start +``` + +**Memory issues** +- Increase Node.js memory: `--max-old-space-size=4096` +- Check available disk space for temporary files + +## Development + +```bash +# Clone repository +git clone https://github.com/Anush2303/fluentui-charting-contrib.git +cd apps/fluent-charts-mcp + +# Install dependencies +npm install + +# Build +npm run build + +# Start development server +npm run dev +``` + +## License + +MIT - See [LICENSE](./LICENSE) file for details. + +## Contributing + +Contributions welcome! 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"zod": "^3.25 || ^4" + } + } + } +} diff --git a/apps/fluent-charts-mcp/package.json b/apps/fluent-charts-mcp/package.json new file mode 100644 index 00000000000..1a3d8a8a21d --- /dev/null +++ b/apps/fluent-charts-mcp/package.json @@ -0,0 +1,60 @@ +{ + "name": "@fluentui/fluent-charts-mcp", + "version": "1.0.0", + "description": "MCP server for executing Python Plotly code and capturing Fluent UI chart renderings via Puppeteer", + "type": "module", + "main": "dist/index.js", + "bin": { + "fluent-charts-mcp": "dist/index.js" + }, + "files": [ + "dist", + "README.md", + "LICENSE" + ], + "scripts": { + "build": "tsc", + "start": "node dist/index.js", + "dev": "tsc && node dist/index.js", + "clean": "rimraf dist", + "postinstall": "echo 'Python packages will be auto-installed on first run'", + "prepublishOnly": "npm run clean && npm run build" + }, + "keywords": [ + "mcp", + "model-context-protocol", + "plotly", + "fluent-ui", + "chart", + "visualization", + "puppeteer", + "chart-capture", + "data-visualization", + "python" + ], + "author": "Anush Gupta", + "license": "MIT", + "repository": { + "type": "git", + "url": "https://github.com/Anush2303/fluentui-charting-contrib.git", + "directory": "apps/fluent-charts-mcp" + }, + "bugs": { + "url": "https://github.com/Anush2303/fluentui-charting-contrib/issues" + }, + "homepage": "https://github.com/Anush2303/fluentui-charting-contrib/tree/main/apps/fluent-charts-mcp#readme", + "dependencies": { + "@modelcontextprotocol/sdk": "^1.18.0", + "express": "^4.18.2", + "puppeteer": "^23.11.1" + }, + "devDependencies": { + "@types/express": "^4.17.17", + "@types/node": "^20.0.0", + "rimraf": "^5.0.5", + "typescript": "^5.0.0" + }, + "engines": { + "node": ">=18.0.0" + } +} diff --git a/apps/fluent-charts-mcp/src/index.ts b/apps/fluent-charts-mcp/src/index.ts new file mode 100644 index 00000000000..4fc8e67d08f --- /dev/null +++ b/apps/fluent-charts-mcp/src/index.ts @@ -0,0 +1,786 @@ +#!/usr/bin/env node +import express from "express"; +import { randomUUID } from "node:crypto"; +import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; +import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js"; +import { isInitializeRequest } from "@modelcontextprotocol/sdk/types.js"; +import path from "path"; +import fs from "fs"; +import { fileURLToPath } from 'url'; +import { exec } from 'child_process'; +import { promisify } from 'util'; + +const execAsync = promisify(exec); +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +// Python environment validation and auto-setup +async function validatePythonEnvironment(): Promise<{ valid: boolean; message: string; pythonCmd?: string }> { + for (const cmd of ['python3', 'python', 'py']) { + try { + const { stdout } = await execAsync(`${cmd} --version`); + const match = stdout.match(/Python (\d+)\.(\d+)/); + + if (match) { + const [major, minor] = [parseInt(match[1]), parseInt(match[2])]; + if (major >= 3 && minor >= 8) { + // Check if packages are installed + try { + await execAsync(`${cmd} -c "import plotly, kaleido"`); + return { valid: true, message: `Python ready: ${stdout.trim()}`, pythonCmd: cmd }; + } catch { + // Try to auto-install packages + console.log(`[Python] Installing plotly and kaleido...`); + try { + await execAsync(`${cmd} -m pip install --user plotly kaleido`); + await execAsync(`${cmd} -c "import plotly, kaleido"`); // Verify installation + return { valid: true, message: `Python ready: ${stdout.trim()} (packages auto-installed)`, pythonCmd: cmd }; + } catch (installError) { + return { + valid: false, + message: `Python found but package install failed. Manual install: ${cmd} -m pip install plotly kaleido` + }; + } + } + } + } + } catch { + // Command not found, continue + } + } + + return { + valid: false, + message: 'Python 3.8+ not found. Install: https://python.org/downloads/' + }; +} + +const PORT = process.env.PORT ? parseInt(process.env.PORT) : 8100; + +// Logging utility +const LOG_DIR = path.resolve(__dirname, '..', 'logs'); +const LOG_FILE = path.join(LOG_DIR, `chart-capture-${new Date().toISOString().replace(/[:.]/g, '-')}.log`); + +// Ensure log directory exists +if (!fs.existsSync(LOG_DIR)) { + fs.mkdirSync(LOG_DIR, { recursive: true }); +} + +function logEvent(level: 'INFO' | 'ERROR' | 'DEBUG', message: string, data?: any) { + const timestamp = new Date().toISOString(); + const logLine = `${timestamp} [${level}] ${message}${data ? ` | Data: ${JSON.stringify(data)}` : ''}\n`; + + // Only log to console for INFO and ERROR + if (level !== 'DEBUG') { + console.log(`[${level}] ${message}`, data || ''); + } + + // Log to file + try { + fs.appendFileSync(LOG_FILE, logLine); + } catch (error) { + console.error('Failed to write to log file:', error); + } +} + +// Helper function to extract Python code blocks +function extractPythonCodeBlocks(content: string): string { + const pythonCodeBlocks = content.match(/```python\n(.*?)```/gs); + if (pythonCodeBlocks && pythonCodeBlocks.length > 0) { + return pythonCodeBlocks.map(block => + block.replace(/```python\n/, '').replace(/```$/, '') + ).join('\n\n'); + } + return content; // Return original content if no code blocks found +} + +// Helper function to generate React component code from Plotly JSON +function generateReactComponentCode(chartJson: any, chartName: string): string { + const schemaString = JSON.stringify({ plotlySchema: chartJson }, null, 2); + + return `/** + * Chart component generated from Plotly schema: ${chartName} + * + * DEPENDENCIES REQUIRED: + * To use this component, install the following packages: + * + * npm install react react-dom @fluentui/react-charts + * + * Or with yarn: + * yarn add react react-dom @fluentui/react-charts + * + * Required versions: + * - react: ^18.0.0 or higher + * - react-dom: ^18.0.0 or higher + * - @fluentui/react-charts: ^6.0.0 or higher + */ + +import * as React from 'react'; +import { DeclarativeChart, Schema } from '@fluentui/react-charts'; + +/** + * This component renders the chart using Fluent UI's DeclarativeChart. + */ +export const ${chartName.split('_').map((word, idx) => + idx === 0 ? word.charAt(0).toUpperCase() + word.slice(1) : + word.charAt(0).toUpperCase() + word.slice(1) +).join('')}Component = () => { + const schema: Schema = ${schemaString.split('\n').map((line, idx) => + idx === 0 ? line : ' ' + line + ).join('\n')}; + + return ; +}; +`; +} + +const app = express(); +app.use(express.json()); + +// Map to store transports by session ID +const transports: { [sessionId: string]: StreamableHTTPServerTransport } = {}; + +// Local map to store tool handlers for REST access +const toolHandlers: Record Promise> = {}; + +let cachedServer: McpServer | null = null; + +function buildServer() { + if (cachedServer) return cachedServer; + + const server = new McpServer({ + name: "fluent-charts-mcp", + version: "1.0.0", + capabilities: { + resources: {}, + tools: {}, + }, + }); + + // MCP tool to execute Python code and capture Fluent chart image + const executePythonAndCaptureChartHandler = async ( + toolArgs: { + pythonCode?: string; + timeout?: number; + outputFormat?: 'png' | 'jpeg'; + } + ): Promise<{ content: Array<{ type: "text"; text: string } | { type: "image"; mimeType: string; data: string }> }> => { + logEvent('INFO', 'Handler invoked', toolArgs); + + const { + pythonCode: inputPythonCode, + timeout = 30000, + outputFormat = 'png' + } = toolArgs; + + // pythonCode is required + if (!inputPythonCode) { + throw new Error('pythonCode is required'); + } + + // Extract and clean Python code from string input + const pythonCode = extractPythonCodeBlocks(inputPythonCode); + + logEvent('INFO', 'Using Python code from string input', { + codeLength: pythonCode.length + }); + + try { + // Step 1: Execute Python code and get JSON files + const tempDir = path.resolve(__dirname, '..', 'temp'); + const timestamp = Date.now(); + const executionDir = path.join(tempDir, `execution_${timestamp}`); + + // Ensure temp directories exist + [tempDir, executionDir].forEach(dir => { + if (!fs.existsSync(dir)) { + fs.mkdirSync(dir, { recursive: true }); + } + }); + + // Modified Python code to generate JSON files + const modifiedPythonCode = ` +import json +import plotly.express as px +import plotly.graph_objects as go +import pandas as pd +import numpy as np +from plotly.utils import PlotlyJSONEncoder +import os + +os.chdir("${executionDir.replace(/\\/g, '/')}") + +# User code starts here +${pythonCode} + +# Auto-detect and save all figures created +import plotly.graph_objects as go_check +figure_count = 0 + +for name, obj in list(globals().items()): + if isinstance(obj, go_check.Figure): + figure_count += 1 + filename = f"chart_{figure_count}_{name}.json" + with open(filename, "w") as f: + json.dump(obj.to_plotly_json(), f, cls=PlotlyJSONEncoder, indent=2) + print(f"Chart JSON saved to: {filename}") + +print(f"Total figures saved: {figure_count}") +`; + + // Write and execute Python code + const tempPythonFile = path.join(executionDir, 'temp_chart.py'); + fs.writeFileSync(tempPythonFile, modifiedPythonCode); + + logEvent('INFO', 'Executing Python code'); + const { stdout, stderr } = await execAsync(`python "${tempPythonFile}"`, { + cwd: executionDir, + timeout: timeout + }); + + if (stderr) { + logEvent('ERROR', 'Python execution error', { stderr }); + throw new Error(`Python execution failed: ${stderr}`); + } + + logEvent('INFO', 'Python execution completed', { + executionDir + }); + + // Find generated JSON files + const jsonFiles = fs.readdirSync(executionDir).filter(f => f.endsWith('.json')); + + if (jsonFiles.length === 0) { + throw new Error('No chart JSON files were generated from Python code'); + } + + logEvent('INFO', 'Found JSON files', { count: jsonFiles.length }); + + // Create unique session output directory + const outputDir = path.join(__dirname, '..', 'output', 'charts'); + const sessionFolder = `session_${Date.now()}`; + const finalOutputDir = path.join(outputDir, sessionFolder); + const tempDownloadDir = path.join(tempDir, 'downloads'); + + [finalOutputDir, tempDownloadDir].forEach(dir => { + if (!fs.existsSync(dir)) { + fs.mkdirSync(dir, { recursive: true }); + } + }); + + // Step 2: Process each chart with Puppeteer + const puppeteer = await import('puppeteer'); + const browser = await puppeteer.default.launch({ + headless: false, + args: ['--no-sandbox', '--disable-setuid-sandbox'], + defaultViewport: { width: 1200, height: 800 } + }); + + const chartImages: Array<{ type: 'image', mimeType: string, data: string }> = []; + const chartReactCodes: Array<{ type: 'text', text: string }> = []; + + // Limit to maximum 3 charts to prevent excessive processing + const maxCharts = Math.min(jsonFiles.length, 3); + + for (let i = 0; i < maxCharts; i++) { + const jsonFile = jsonFiles[i]; + let page = null; + try { + const jsonFilePath = path.join(executionDir, jsonFile); + const chartJson = JSON.parse(fs.readFileSync(jsonFilePath, 'utf8')); + const chartName = path.basename(jsonFile, '.json'); + + logEvent('INFO', 'Processing chart', { + chartName, + chartIndex: i + 1 + }); + + page = await browser.newPage(); + + // Navigate to Fluent Charts website + await page.goto('https://fluentchartseval.azurewebsites.net', { + waitUntil: 'networkidle0', + timeout: 30000 + }); + + // Enable JSON Input switch by finding it via its label + const switchInfo = await page.evaluate(() => { + // Find the label that contains "JSON input disabled" + const labels = Array.from(document.querySelectorAll('label.fui-Switch__label')); + const jsonLabel = labels.find(label => + label.textContent?.includes('JSON input disabled') + ); + + if (jsonLabel) { + // Get the 'for' attribute to find the associated input + const forId = jsonLabel.getAttribute('for'); + if (forId) { + const switchElement = document.getElementById(forId) as HTMLInputElement; + if (switchElement && switchElement.getAttribute('role') === 'switch') { + const wasChecked = switchElement.checked; + + // Click the switch to enable JSON input + switchElement.click(); + + const nowChecked = switchElement.checked; + + return { + found: true, + switchId: forId, + wasChecked, + nowChecked, + clicked: true, + labelText: jsonLabel.textContent + }; + } + } + } + return { + found: false, + wasChecked: false, + nowChecked: false, + clicked: false, + availableLabels: labels.map(l => l.textContent).filter(t => t) + }; + }); + + if (!switchInfo.found) { + throw new Error('JSON input switch not found'); + } + + if (switchInfo.clicked) { + await new Promise(resolve => setTimeout(resolve, 2000)); + } + + // Wait for and find the JSON textarea + await page.waitForFunction( + () => !!(document.querySelector('textarea') || document.querySelector('input[type="text"]')), + { timeout: 15000 } + ); + + const jsonInput = await page.$('textarea') || await page.$('input[type="text"]'); + + if (!jsonInput) { + throw new Error('JSON input textarea not found after enabling switch'); + } + + // Clear existing content and paste JSON + await jsonInput.click({ clickCount: 3 }); + await page.keyboard.press('Delete'); + await new Promise(resolve => setTimeout(resolve, 300)); + + const jsonString = JSON.stringify(chartJson, null, 2); + + // Use clipboard for more reliable pasting + await page.evaluate((jsonValue) => { + navigator.clipboard.writeText(jsonValue); + }, jsonString); + await new Promise(resolve => setTimeout(resolve, 300)); + + await jsonInput.click(); + await page.keyboard.down('Control'); + await page.keyboard.press('KeyV'); + await page.keyboard.up('Control'); + await new Promise(resolve => setTimeout(resolve, 500)); + + // Trigger chart rendering + await jsonInput.focus(); + await page.keyboard.press('Enter'); + await new Promise(resolve => setTimeout(resolve, 3000)); + + // Set up download handling + const client = await page.target().createCDPSession(); + await client.send('Page.setDownloadBehavior', { + behavior: 'allow', + downloadPath: tempDownloadDir + }); + + // Find and click download button + let downloadButton: any = null; + + const xpathSelectors = [ + '//button[contains(text(), "download")]', + '//button[contains(text(), "Download")]' + ]; + + for (const xpath of xpathSelectors) { + downloadButton = await page.evaluateHandle((xpathExpr: string) => { + const result = document.evaluate(xpathExpr, document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null); + return result.singleNodeValue as HTMLElement; + }, xpath); + + if (downloadButton && await page.evaluate((el) => el !== null, downloadButton)) { + break; + } else { + downloadButton = null; + } + } + + if (downloadButton) { + // Clear download directory before each download + fs.readdirSync(tempDownloadDir).forEach(file => { + try { + fs.unlinkSync(path.join(tempDownloadDir, file)); + } catch (e) { + // Ignore errors + } + }); + + await downloadButton.click(); + + // Wait for download to complete with polling + let downloadedFiles: string[] = []; + const maxWaitTime = 15000; // 15 seconds max wait + const checkInterval = 500; // Check every 500ms + const startTime = Date.now(); + + while (Date.now() - startTime < maxWaitTime) { + await new Promise(resolve => setTimeout(resolve, checkInterval)); + downloadedFiles = fs.readdirSync(tempDownloadDir).filter(f => + f.endsWith('.png') || f.endsWith('.jpg') || f.endsWith('.jpeg') + ); + + if (downloadedFiles.length > 0) { + break; + } + } + + if (downloadedFiles.length > 0) { + const downloadedFile = downloadedFiles[downloadedFiles.length - 1]; + const downloadedImagePath = path.join(tempDownloadDir, downloadedFile); + const downloadedImageBuffer = fs.readFileSync(downloadedImagePath); + + // Generate React component code + const reactComponentCode = generateReactComponentCode(chartJson, chartName); + + // Save image and React component to the session output directory + const outputImagePath = path.join(finalOutputDir, `${chartName}_fluent_chart.png`); + fs.writeFileSync(outputImagePath, downloadedImageBuffer); + + const outputReactPath = path.join(finalOutputDir, `${chartName}_fluent_chart.tsx`); + fs.writeFileSync(outputReactPath, reactComponentCode); + + // Add image to results + chartImages.push({ + type: 'image' as const, + mimeType: `image/${outputFormat}`, + data: downloadedImageBuffer.toString('base64') + }); + + // Add React component code to results + chartReactCodes.push({ + type: 'text' as const, + text: `React Component Code for ${chartName}:\n\n\`\`\`tsx\n${reactComponentCode}\n\`\`\`` + }); + + logEvent('INFO', 'Chart saved successfully', { + chartName, + imageSize: downloadedImageBuffer.length, + reactComponentGenerated: true + }); + } else { + logEvent('ERROR', 'No downloaded files found', { chartName }); + } + } else { + logEvent('ERROR', 'Download button not found', { chartName }); + } + + if (page) { + await page.close(); + } + + // Add delay between charts + if (i < maxCharts - 1) { + await new Promise(resolve => setTimeout(resolve, 2000)); + } + + } catch (chartError) { + logEvent('ERROR', 'Error processing chart', { + chartIndex: i + 1, + error: chartError instanceof Error ? chartError.message : String(chartError) + }); + + // Ensure page is closed even on error + if (page) { + try { + await page.close(); + } catch (closeError) { + // Ignore close errors + } + } + } + } + + await browser.close(); + + // Cleanup temp files and directories + [executionDir, tempDownloadDir].forEach(dir => { + try { + if (fs.existsSync(dir)) { + fs.rmSync(dir, { recursive: true, force: true }); + } + } catch (cleanupError) { + // Ignore cleanup errors + } + }); + + logEvent('INFO', 'Handler completed successfully', { + chartCount: chartImages.length, + reactCodeCount: chartReactCodes.length, + format: outputFormat, + outputDir: finalOutputDir + }); + + // Return chart images and React component code + if (chartImages.length > 0) { + return { + content: [...chartImages, ...chartReactCodes] + }; + } else { + return { + content: [ + { + type: 'text' as const, + text: `No chart images were captured. Output directory: ${finalOutputDir}` + } + ] + }; + } + + } catch (error) { + logEvent('ERROR', 'Handler failed', { + error: error instanceof Error ? error.message : error + }); + throw error; + } + }; + + server.tool( + "execute-python-and-capture-chart", + "Execute Python code that generates a Plotly chart, convert it to Fluent UI representation, and capture it as an image. The Python code should create Plotly figures which will be automatically saved as JSON, then rendered in Fluent UI Charts and captured as images. Returns the chart image as base64 data along with saving both the image and JSON to an output directory.", + { + pythonCode: { + type: "string", + description: "Python code as a string that creates a Plotly figure using plotly.express or plotly.graph_objects. This parameter is required. Example: 'import plotly.express as px; fig = px.scatter(x=[1,2,3], y=[4,5,6])'" + }, + timeout: { + type: "number", + description: "Python execution timeout in milliseconds (default: 30000)" + }, + outputFormat: { + type: "string", + enum: ["png", "jpeg"], + description: "Image output format (default: png)" + } + }, + async (context: any) => { + // Try to find the actual tool arguments + let toolArgs = context; + + // Check if context itself has the expected properties + if (!context.pythonCode && context.arguments) { + toolArgs = context.arguments; + } else if (!context.pythonCode && context.params && context.params.arguments) { + toolArgs = context.params.arguments; + } + + return executePythonAndCaptureChartHandler({ + pythonCode: toolArgs.pythonCode, + timeout: toolArgs.timeout, + outputFormat: toolArgs.outputFormat + }); + } + ); + toolHandlers["execute-python-and-capture-chart"] = executePythonAndCaptureChartHandler; + + cachedServer = server; + return server; +} + +// POST /mcp endpoint for MCP requests +app.post('/mcp', async (req, res) => { + // Log the incoming request body for debugging + logEvent('DEBUG', 'MCP POST request received', { + body: req.body, + method: req.body?.method + }); + + // Workaround: If this is a tools/call request, handle it directly + if (req.body?.method === 'tools/call' && req.body?.params) { + const toolName = req.body.params.name; + const toolArgs = req.body.params.arguments || {}; + + if (toolName === 'execute-python-and-capture-chart' && toolHandlers[toolName]) { + try { + const result = await toolHandlers[toolName](toolArgs); + res.json({ + jsonrpc: "2.0", + id: req.body.id, + result + }); + return; + } catch (error) { + res.json({ + jsonrpc: "2.0", + id: req.body.id, + error: { + code: -32603, + message: error instanceof Error ? error.message : 'Internal error' + } + }); + return; + } + } + } + + const sessionId = req.headers['mcp-session-id'] as string | undefined; + let transport: StreamableHTTPServerTransport; + + if (sessionId && transports[sessionId]) { + transport = transports[sessionId]; + } else if (!sessionId && isInitializeRequest(req.body)) { + transport = new StreamableHTTPServerTransport({ + sessionIdGenerator: () => randomUUID(), + onsessioninitialized: (sessionId: string) => { + logEvent('DEBUG', 'Session initialized', { sessionId }); + transports[sessionId] = transport; + }, + }); + transport.onclose = () => { + if (transport.sessionId) { + delete transports[transport.sessionId]; + } + }; + const server = buildServer(); + await server.connect(transport); + } else { + return res.status(400).json({ error: 'Invalid MCP session' }); + } + + try { + await transport.handleRequest(req, res, req.body); + } catch (error) { + logEvent('ERROR', 'Error handling MCP request', { + error: error instanceof Error ? error.message : String(error) + }); + if (!res.headersSent) { + res.status(500).json({ error: 'Internal server error' }); + } + } +}); + +// GET /mcp for SSE +app.get('/mcp', async (req, res) => { + const sessionId = req.headers['mcp-session-id'] as string | undefined; + + if (!sessionId) { + res.status(404).send('No session established. Initialize via POST first.'); + return; + } + + if (!transports[sessionId]) { + res.status(400).send('Invalid session ID'); + return; + } + + const transport = transports[sessionId]; + await transport.handleRequest(req, res); +}); + +// DELETE /mcp for session termination +app.delete('/mcp', async (req, res) => { + const sessionId = req.headers['mcp-session-id'] as string | undefined; + if (!sessionId || !transports[sessionId]) { + res.status(400).send('Invalid or missing session ID'); + return; + } + const transport = transports[sessionId]; + await transport.handleRequest(req, res); +}); + +// REST endpoint to invoke tool directly +app.post('/tools/execute-python-and-capture-chart', async (req, res) => { + const args = req.body || {}; + + try { + const result = await toolHandlers["execute-python-and-capture-chart"](args); + res.json(result); + } catch (error) { + logEvent('ERROR', 'Tool execution failed', { + error: error instanceof Error ? error.message : String(error) + }); + const errorMessage = error instanceof Error ? error.message : 'Internal server error'; + res.status(500).json({ error: errorMessage }); + } +}); + +// GET endpoint to list available tools +app.get('/tools', (req, res) => { + res.json({ + tools: ["execute-python-and-capture-chart"], + description: "Execute Python code and capture Fluent UI chart images" + }); +}); + +// Health check endpoint +app.get('/health', (req, res) => { + res.json({ + status: 'ok', + service: 'fluent-chart-mcp', + version: '1.0.0' + }); +}); + +app.listen(PORT, async () => { + // Build server first to populate toolHandlers + buildServer(); + + console.log(`\n========================================`); + console.log(`Fluent Charts MCP Server`); + console.log(`========================================`); + console.log(`Server listening on port ${PORT}`); + + // Validate Python environment + const pythonCheck = await validatePythonEnvironment(); + + if (pythonCheck.valid) { + console.log(`[Python] ${pythonCheck.message}`); + } else { + console.log(`[Python] ${pythonCheck.message}`); + console.log(`[Warning] Chart generation may fail without Python setup`); + } + console.log(`\nAvailable endpoints:`); + console.log(` POST /tools/execute-python-and-capture-chart - Execute Python code and capture chart`); + console.log(` GET /tools - List available tools`); + console.log(` GET /health - Health check`); + console.log(`\nMCP endpoints:`); + console.log(` POST /mcp - MCP protocol requests`); + console.log(` GET /mcp - Server-sent events for notifications`); + console.log(` DELETE /mcp - Session termination`); + console.log(`\nLogging:`); + console.log(` - All events logged to: ${LOG_FILE}`); + console.log(` - Chart outputs saved to: output/charts//`); + console.log(`\nFeatures:`); + console.log(` - Executes Python Plotly code`); + console.log(` - Auto-detects generated Plotly figures`); + console.log(` - Renders charts in Fluent UI`); + console.log(` - Captures chart images via Puppeteer`); + console.log(` - Returns base64-encoded images`); + console.log(` - Saves images and JSON to session folders`); + console.log(`========================================\n`); + + logEvent('INFO', 'MCP server started successfully', { + port: PORT, + logFile: LOG_FILE + }); +}); + +// Graceful shutdown +const handleShutdown = (signal: string) => { + console.log('\nShutting down server...'); + logEvent('INFO', 'Server shutdown initiated', { signal }); + process.exit(0); +}; + +process.on('SIGINT', () => handleShutdown('SIGINT')); +process.on('SIGTERM', () => handleShutdown('SIGTERM')); diff --git a/apps/fluent-charts-mcp/tsconfig.json b/apps/fluent-charts-mcp/tsconfig.json new file mode 100644 index 00000000000..fa0fd75b0c7 --- /dev/null +++ b/apps/fluent-charts-mcp/tsconfig.json @@ -0,0 +1,19 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ES2022", + "moduleResolution": "node", + "outDir": "./dist", + "rootDir": "./src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "declaration": true, + "declarationMap": true, + "sourceMap": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +}