OpenFoodFacts-mcp

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; import { logger } from "../transport/transports.js"; import { requestSampling } from "../sampling/sampling-service.js"; import { z } from "zod"; import { readFileWithContext } from "./codebase-navigator.js"; /** * Registers the PR Generator tool with the MCP server * @param server The MCP server instance to register the tool with */ export function registerPrGenerator(server: McpServer) { server.tool( "generatePR", { repoPath: z.string().describe("Path to the repository root"), issueNumber: z.number().optional().describe("Issue number being addressed"), changedFiles: z.array(z.string()).describe("Files that were changed"), branchName: z.string().describe("Name of the branch containing changes") }, async ({ repoPath, issueNumber, changedFiles, branchName }) => { try { if (!repoPath || !branchName || changedFiles.length === 0) { return { isError: true, content: [{ type: "text", text: "Please provide repository path, branch name, and changed files." }] }; } // Get the changes for each file const fileChanges: Record<string, string> = {}; for (const file of changedFiles) { try { const fileContent = await readFileWithContext(repoPath, file); fileChanges[file] = fileContent.content; } catch (error) { logger.error(`Error reading file: ${file}`, error); } } // Create AI prompt to generate PR description const systemPrompt = "You are an expert developer helping to create a clear and comprehensive pull request. " + "Based on the code changes, generate a well-structured PR description that explains the changes, " + "their purpose, and any important implementation details."; const samplingRequest = { messages: [{ role: "user" as const, content: { type: "text" as const, text: `Generate a pull request description for these changes: ${Object.entries(fileChanges).map(([file, content]) => ` --- ${file} --- ${content}`).join('\n')} ${issueNumber ? `This PR addresses issue #${issueNumber}` : ''} Please include: 1. A clear title 2. Description of changes 3. Testing performed 4. Any breaking changes 5. Screenshots or examples (if applicable)` } }], modelPreferences: { hints: [{ name: "claude-3" }, { name: "gpt-4" }], intelligencePriority: 0.8, speedPriority: 0.4 }, systemPrompt, includeContext: "thisServer" as const, temperature: 0.2, maxTokens: 2000 }; const aiResponse = await requestSampling(server, samplingRequest); return { content: [{ type: "text", text: String(aiResponse.content.text) }] }; } catch (error) { logger.error('Error in generatePR tool:', error); return { isError: true, content: [{ type: "text", text: `Error generating PR: ${error instanceof Error ? error.message : String(error)}` }] }; } } ); logger.info("PR Generator tool registered successfully"); }