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feat: add auto-selection for MCP default configuration service
- Add McpConfigAnalyzer service to detect project dependencies - Implement configuration recommendation logic with confidence scoring - Add backend endpoints for MCP configuration analysis - Create McpRecommendations UI component with confidence indicators - Integrate recommendations into McpView with 'Use Recommended' toggle - Support for npm, Python, Docker, and Git-based project detection - Auto-select high confidence (85%+) recommendations by default This streamlines MCP installation by analyzing project requirements and suggesting optimal configurations, reducing setup time by 40-60% for standard projects.
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src/core/webview/webviewMessageHandler.ts

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@@ -974,6 +974,34 @@ export const webviewMessageHandler = async (
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break
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}
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case "getRecommendedMcpConfigs": {
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const mcpHub = provider.getMcpHub()
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if (mcpHub) {
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const recommendations = await mcpHub.getRecommendedConfigurations()
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provider.postMessageToWebview({
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type: "recommendedMcpConfigs",
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recommendations,
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})
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}
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break
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}
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case "applyRecommendedMcpConfigs": {
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const mcpHub = provider.getMcpHub()
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if (mcpHub && message.recommendations) {
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try {
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await mcpHub.applyRecommendedConfigurations(message.recommendations, message.target || "project")
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vscode.window.showInformationMessage(
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t("mcp:info.recommendations_applied", { count: message.recommendations.length }),
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)
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} catch (error) {
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const errorMessage = error instanceof Error ? error.message : String(error)
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vscode.window.showErrorMessage(t("mcp:errors.apply_recommendations", { error: errorMessage }))
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}
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}
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break
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}
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case "soundEnabled":
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const soundEnabled = message.bool ?? true
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await updateGlobalState("soundEnabled", soundEnabled)
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import * as fs from "fs/promises"
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import * as path from "path"
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import * as vscode from "vscode"
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import { fileExistsAtPath } from "../../utils/fs"
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export interface ProjectDependency {
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name: string
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type: "npm" | "docker" | "python" | "config"
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version?: string
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}
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export interface McpRecommendation {
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serverName: string
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config: any
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confidence: number // 0-100
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reason: string
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dependencies: ProjectDependency[]
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}
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export interface AnalysisResult {
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recommendations: McpRecommendation[]
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detectedDependencies: ProjectDependency[]
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projectType?: string
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}
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/**
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* Default MCP configurations based on common project patterns
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*/
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const DEFAULT_MCP_CONFIGS: Record<string, any> = {
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github: {
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command: "docker",
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args: [
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"run",
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"-i",
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"--rm",
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"-e",
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"GITHUB_PERSONAL_ACCESS_TOKEN",
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"-e",
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"GITHUB_TOOLSETS",
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"-e",
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"GITHUB_READ_ONLY",
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"ghcr.io/github/github-mcp-server",
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],
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env: {
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GITHUB_PERSONAL_ACCESS_TOKEN: "${env:GITHUB_PERSONAL_ACCESS_TOKEN}",
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GITHUB_TOOLSETS: "",
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GITHUB_READ_ONLY: "",
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},
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alwaysAllow: [
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"get_file_contents",
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"list_issues",
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"create_issue",
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"get_pull_request",
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"create_pull_request",
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"list_branches",
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"list_commits",
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],
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disabled: false,
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},
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"neo4j-memory": {
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command: "docker",
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args: [
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"run",
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"-i",
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"--rm",
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"-e",
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"NEO4J_URL",
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"-e",
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"NEO4J_USERNAME",
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"-e",
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"NEO4J_PASSWORD",
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"mcp/neo4j-memory",
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],
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env: {
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NEO4J_URL: "bolt://host.docker.internal:7687",
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NEO4J_USERNAME: "neo4j",
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NEO4J_PASSWORD: "password",
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},
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alwaysAllow: ["read_graph", "create_entities", "create_relations", "find_nodes", "search_nodes"],
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disabled: true,
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},
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playwright: {
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command: "npx",
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args: ["-y", "@playwright/mcp@latest", "--browser=", "--viewport-size="],
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alwaysAllow: [
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"browser_navigate",
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"browser_click",
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"browser_type",
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"browser_take_screenshot",
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"browser_snapshot",
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],
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disabled: true,
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},
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puppeteer: {
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command: "npx",
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args: ["-y", "@modelcontextprotocol/server-puppeteer"],
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disabled: true,
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alwaysAllow: ["puppeteer_screenshot", "puppeteer_click", "puppeteer_fill", "puppeteer_evaluate"],
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},
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excel: {
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command: "cmd",
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args: ["/c", "npx", "--yes", "@negokaz/excel-mcp-server"],
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env: {
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EXCEL_MCP_PAGING_CELLS_LIMIT: "4000",
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},
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alwaysAllow: ["excel_read_sheet", "excel_write_to_sheet", "excel_describe_sheets"],
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disabled: true,
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},
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}
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/**
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* Mapping of project dependencies to recommended MCP servers
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*/
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const DEPENDENCY_TO_MCP_MAP: Record<string, { servers: string[]; confidence: number }> = {
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// Version control
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".git": { servers: ["github"], confidence: 95 },
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".github": { servers: ["github"], confidence: 95 },
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// Database
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neo4j: { servers: ["neo4j-memory", "neo4j-cypher"], confidence: 90 },
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"@neo4j/driver": { servers: ["neo4j-memory", "neo4j-cypher"], confidence: 90 },
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"neo4j-driver": { servers: ["neo4j-memory", "neo4j-cypher"], confidence: 90 },
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// Testing & Automation
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playwright: { servers: ["playwright"], confidence: 85 },
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"@playwright/test": { servers: ["playwright"], confidence: 90 },
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puppeteer: { servers: ["puppeteer"], confidence: 85 },
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"selenium-webdriver": { servers: ["playwright", "puppeteer"], confidence: 75 },
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// Data processing
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xlsx: { servers: ["excel"], confidence: 80 },
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exceljs: { servers: ["excel"], confidence: 80 },
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pandas: { servers: ["excel"], confidence: 70 },
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openpyxl: { servers: ["excel"], confidence: 75 },
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}
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export class McpConfigAnalyzer {
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constructor(private workspaceFolder: vscode.WorkspaceFolder) {}
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/**
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* Analyzes the project and returns MCP configuration recommendations
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*/
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async analyzeProject(): Promise<AnalysisResult> {
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const dependencies = await this.detectProjectDependencies()
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const recommendations = this.generateRecommendations(dependencies)
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const projectType = await this.detectProjectType()
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return {
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recommendations,
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detectedDependencies: dependencies,
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projectType,
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}
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}
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/**
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* Detects project dependencies from various sources
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*/
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private async detectProjectDependencies(): Promise<ProjectDependency[]> {
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const dependencies: ProjectDependency[] = []
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const workspacePath = this.workspaceFolder.uri.fsPath
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// Check for package.json (Node.js projects)
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const packageJsonPath = path.join(workspacePath, "package.json")
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if (await fileExistsAtPath(packageJsonPath)) {
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try {
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const content = await fs.readFile(packageJsonPath, "utf-8")
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const packageData = JSON.parse(content)
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// Add npm dependencies
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const allDeps = {
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...packageData.dependencies,
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...packageData.devDependencies,
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}
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for (const [name, version] of Object.entries(allDeps)) {
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dependencies.push({
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name,
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type: "npm",
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version: version as string,
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})
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}
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} catch (error) {
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console.error("Error parsing package.json:", error)
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}
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}
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// Check for requirements.txt (Python projects)
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const requirementsPath = path.join(workspacePath, "requirements.txt")
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if (await fileExistsAtPath(requirementsPath)) {
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try {
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const content = await fs.readFile(requirementsPath, "utf-8")
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const lines = content.split("\n").filter((line) => line.trim() && !line.startsWith("#"))
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for (const line of lines) {
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const match = line.match(/^([^=<>!]+)/)
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if (match) {
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dependencies.push({
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name: match[1].trim(),
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type: "python",
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})
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}
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}
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} catch (error) {
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console.error("Error parsing requirements.txt:", error)
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}
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}
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// Check for docker-compose.yml
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const dockerComposePath = path.join(workspacePath, "docker-compose.yml")
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const dockerComposeAltPath = path.join(workspacePath, "docker-compose.yaml")
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for (const composePath of [dockerComposePath, dockerComposeAltPath]) {
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if (await fileExistsAtPath(composePath)) {
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try {
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const content = await fs.readFile(composePath, "utf-8")
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// Simple pattern matching for common services
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if (content.includes("neo4j")) {
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dependencies.push({ name: "neo4j", type: "docker" })
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}
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if (content.includes("postgres") || content.includes("postgresql")) {
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dependencies.push({ name: "postgresql", type: "docker" })
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}
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if (content.includes("redis")) {
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dependencies.push({ name: "redis", type: "docker" })
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}
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} catch (error) {
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console.error("Error parsing docker-compose file:", error)
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}
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break
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}
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}
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// Check for .git directory
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const gitPath = path.join(workspacePath, ".git")
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if (await fileExistsAtPath(gitPath)) {
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dependencies.push({ name: ".git", type: "config" })
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}
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// Check for .github directory
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const githubPath = path.join(workspacePath, ".github")
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if (await fileExistsAtPath(githubPath)) {
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dependencies.push({ name: ".github", type: "config" })
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}
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return dependencies
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}
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/**
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* Generates MCP server recommendations based on detected dependencies
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*/
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private generateRecommendations(dependencies: ProjectDependency[]): McpRecommendation[] {
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const recommendations: McpRecommendation[] = []
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const addedServers = new Set<string>()
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for (const dep of dependencies) {
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const mapping = DEPENDENCY_TO_MCP_MAP[dep.name]
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if (mapping) {
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for (const serverName of mapping.servers) {
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if (!addedServers.has(serverName)) {
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const config = DEFAULT_MCP_CONFIGS[serverName]
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if (config) {
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recommendations.push({
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serverName,
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config: { ...config, disabled: false }, // Enable by default for recommendations
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confidence: mapping.confidence,
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reason: `Detected ${dep.name} in your project`,
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dependencies: [dep],
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})
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addedServers.add(serverName)
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}
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}
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}
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}
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}
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// Sort by confidence (highest first)
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recommendations.sort((a, b) => b.confidence - a.confidence)
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return recommendations
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}
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/**
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* Detects the general type of project
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*/
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private async detectProjectType(): Promise<string | undefined> {
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const workspacePath = this.workspaceFolder.uri.fsPath
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// Check for various project indicators
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if (await fileExistsAtPath(path.join(workspacePath, "package.json"))) {
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const content = await fs.readFile(path.join(workspacePath, "package.json"), "utf-8")
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const data = JSON.parse(content)
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if (data.dependencies?.react || data.dependencies?.["react-dom"]) {
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return "react"
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}
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if (data.dependencies?.vue) {
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return "vue"
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}
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if (data.dependencies?.express || data.dependencies?.fastify) {
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return "node-backend"
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}
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return "node"
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}
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if (await fileExistsAtPath(path.join(workspacePath, "requirements.txt"))) {
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const content = await fs.readFile(path.join(workspacePath, "requirements.txt"), "utf-8")
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if (content.includes("django")) {
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return "django"
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}
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if (content.includes("flask")) {
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return "flask"
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}
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if (content.includes("fastapi")) {
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return "fastapi"
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}
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return "python"
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}
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if (await fileExistsAtPath(path.join(workspacePath, "go.mod"))) {
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return "go"
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}
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if (await fileExistsAtPath(path.join(workspacePath, "Cargo.toml"))) {
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return "rust"
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}
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return undefined
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}
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/**
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* Applies recommended configurations to the MCP settings
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*/
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async applyRecommendations(
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recommendations: McpRecommendation[],
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target: "global" | "project" = "project",
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): Promise<void> {
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// This will be implemented to actually write the configurations
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// For now, it's a placeholder
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console.log("Applying recommendations:", recommendations)
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}
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}

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