MCP Vector Search Integration Guide

About

This skill provides a detailed integration guide for embedding mcp-vector-search as a library within custom Model Context Protocol (MCP) servers. It enables developers to bundle documentation, source code, and resources directly into their servers, offering turnkey semantic search functionality without requiring users to manage separate vector databases. By covering classpath resource management, JAR packaging, and metadata extraction, the skill ensures developers can build robust, knowledge-rich MCP tools that are easy to distribute and deploy.

Key Features

• Library integration patterns for Clojure-based MCP servers
• 2 GitHub stars
• Hierarchical configuration loading for environment-specific overrides
• Automated resource bundling and JAR packaging workflows
• Metadata extraction through path captures and code analysis
• Management of classpath vs. filesystem-based documentation sources

Use Cases

• Shipping self-contained MCP servers with built-in searchable documentation
• Adding semantic search to specialized knowledge bases and domain-specific tools
• Implementing multi-source indexing that combines bundled resources with local user files