MCP Vector Search Configuration Guide

关于

This skill acts as a comprehensive reference for setting up and optimizing the mcp-vector-search tool, which enables AI agents to perform semantic searches across your documents and codebases. It guides users through creating sophisticated configuration files, covering advanced path specifications, regular expression metadata captures, and various ingestion strategies like recursive chunking or code-level analysis for Clojure and Java. Whether you're building a project-specific knowledge base or a global documentation index, this guide ensures your AI assistant can retrieve precise, contextually relevant information efficiently.

主要功能

• Reference for EDN-based configuration syntax and file locations
• Instructions for regex-based metadata extraction and named path captures
• Configuration patterns for real-time file watching and automated re-indexing
• Detailed guides for ingestion strategies including chunking and code analysis
• 2 GitHub stars
• Support for both local filesystem and classpath source specifications

使用场景

• Building a searchable semantic index for large technical documentation sets
• Configuring deep code-level search for discovery in Clojure or Java repositories
• Optimizing AI retrieval performance through custom chunking and metadata strategies