Codeseeker

Codeseeker

Hybrid search and knowledge graph MCP for smarter AI coding assistants.

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About Codeseeker

Codeseeker is a four-layer hybrid search and knowledge graph platform designed to supercharge AI coding assistants like Claude, Copilot, and Cursor. It fuses BM25, vector search, directory summaries (RAPTOR), and code relationship graphs to provide advanced, semantically-rich, and context-aware codebase navigation. Codeseeker enables AI to query and analyze codebases with structural understanding, supporting dependency tracing, coding standard detection, duplicate and dead code identification—all accessible via an MCP server with minimal setup. Ideal for teams using AI coding assistants who want next-level code intelligence, multi-language support, and automatic project indexing.

Resources

Product Website

Visit Codeseeker's official website for product details and getting started.

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Documentation

Comprehensive documentation for installing, configuring, and using Codeseeker.

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Examples and Use Cases

Explore various examples and use cases showcasing Codeseeker's capabilities.

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