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Enterprise Code Search MCP Server

index_local_project

Index a local project directory into a vector database to enable semantic code search and analysis across your codebase.

Instructions

Index a local project directory into the vector database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exclude_patternsNoFile patterns to exclude (optional)
include_patternsNoFile patterns to include (optional)
project_nameYesName for the project (used as identifier)
project_pathYesAbsolute path to the local project directory

Implementation Reference

  • Core handler function for the 'index_local_project' tool. Validates input, traverses directory, processes files into chunks, generates embeddings, and stores them in ChromaDB.
    async indexLocalProject(args: {
      project_path: string;
      project_name: string;
      include_patterns?: string[];
      exclude_patterns?: string[];
    }) {
      const { 
        project_path, 
        project_name, 
        include_patterns = this.getDefaultIncludePatterns(),
        exclude_patterns = this.getDefaultExcludePatterns()
      } = args;
      
      try {
        const stats = await fs.stat(project_path);
        if (!stats.isDirectory()) {
          throw new Error(`Path is not a directory: ${project_path}`);
        }
      } catch (error) {
        throw new Error(`Cannot access project path: ${project_path}`);
      }
    
      const projectId = this.sanitizeProjectId(project_name);
      
      try {
        const collection = await this.getOrCreateCollection();
        const files = await this.getFilesToIndex(project_path, include_patterns, exclude_patterns);
        const chunks = [];
        
        let processedFiles = 0;
        
        for (const filePath of files) {
          try {
            const relativePath = path.relative(project_path, filePath);
            const fileExtension = path.extname(filePath).slice(1) || 'txt';
            
            const fileStats = await fs.stat(filePath);
            const fileSizeMB = fileStats.size / (1024 * 1024);
            
            console.error(`Processing file: ${relativePath} (${fileSizeMB.toFixed(2)} MB)`);
            
            const fileChunks = await this.processFileWithStreaming(filePath, relativePath, fileExtension);
            
            if (fileChunks.length > 0) {
              chunks.push(...fileChunks.map(chunk => ({
                ...chunk,
                project_id: projectId,
                project_name,
                project_path,
                source_type: 'local',
                indexed_at: new Date().toISOString()
              })));
            }
            
            processedFiles++;
          } catch (error) {
            console.error(`Error processing file ${filePath}:`, error);
          }
        }
        
        if (chunks.length > 0) {
          await this.storeChunksInBatches(collection, chunks, projectId);
        }
        
        return {
          content: [
            {
              type: "text",
              text: `Successfully indexed local project: ${project_name}\n` +
                    `Project ID: ${projectId}\n` +
                    `Project Path: ${project_path}\n` +
                    `Files processed: ${processedFiles}\n` +
                    `Chunks created: ${chunks.length}\n` +
                    `Embedding provider: ${this.config.embedding_provider}`
            }
          ]
        };
        
      } catch (error) {
        throw error;
      }
    }
  • Input schema definition for the index_local_project tool, used in tool listing for HTTP server.
    name: "index_local_project",
    description: "Index a local project directory into the vector database",
    inputSchema: {
      type: "object",
      properties: {
        project_path: {
          type: "string",
          description: "Absolute path to the local project directory"
        },
        project_name: {
          type: "string",
          description: "Name for the project (used as identifier)"
        },
        include_patterns: {
          type: "array",
          items: { type: "string" },
          description: "File patterns to include (optional)"
        },
        exclude_patterns: {
          type: "array",
          items: { type: "string" },
          description: "File patterns to exclude (optional)"
        }
      },
      required: ["project_path", "project_name"]
    }
  • Tool registration/dispatch in HTTP server's callTool switch statement.
    case "index_local_project":
      return await this.indexLocalProject(args);
  • src/index.ts:112-113 (registration)
    Tool registration/dispatch in stdio server's CallToolRequestSchema handler.
    case "index_local_project":
      return await this.indexLocalProject(args as any);
  • Input schema definition for the index_local_project tool, used in tool listing for stdio server.
    name: "index_local_project",
    description: "Index a local project directory into the vector database",
    inputSchema: {
      type: "object",
      properties: {
        project_path: {
          type: "string",
          description: "Absolute path to the local project directory"
        },
        project_name: {
          type: "string",
          description: "Name for the project (used as identifier)"
        },
        include_patterns: {
          type: "array",
          items: { type: "string" },
          description: "File patterns to include (optional)"
        },
        exclude_patterns: {
          type: "array", 
          items: { type: "string" },
          description: "File patterns to exclude (optional)"
        }
      },
      required: ["project_path", "project_name"]
    }

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