#1414th of 15 in MCP servers for developers

claude-context

MCP server adding hybrid semantic code search to coding agents

Stars
12.6k
License
MIT
Last commit
Jul 2026
Language
TypeScript
Stars, last 29 weeks+6,971
25 Mar 2026: 5,645 stars1 Apr 2026: 5,706 stars8 Apr 2026: 5,775 stars15 Apr 2026: 5,845 stars22 Apr 2026: 7,708 stars29 Apr 2026: 10,147 stars6 May 2026: 10,625 stars13 May 2026: 10,842 stars20 May 2026: 11,315 stars27 May 2026: 11,440 stars3 Jun 2026: 11,539 stars10 Jun 2026: 11,670 stars17 Jun 2026: 11,743 stars24 Jun 2026: 11,817 stars1 Jul 2026: 11,894 stars8 Jul 2026: 11,977 stars15 Jul 2026: 12,027 stars22 Jul 2026: 12,078 stars29 Jul 2026: 12,123 stars5 Aug 2026: 12,190 stars12 Aug 2026: 12,312 stars19 Aug 2026: 12,352 stars26 Aug 2026: 12,391 stars2 Sept 2026: 12,419 stars9 Sept 2026: 12,467 stars16 Sept 2026: 12,498 stars23 Sept 2026: 12,541 stars30 Sept 2026: 12,566 stars7 Oct 2026: 12,584 stars14 Oct 2026: 12,616 stars

5,645 on 25 Mar 202612,616 on 14 Oct 2026

From GitHub's daily star counts.

Checked on GitHub.

Zilliz is hiring: 11 open roles

Overview

Claude Context indexes a codebase into Milvus or Zilliz Cloud and exposes index_codebase, search_code, clear_index and get_indexing_status tools over stdio MCP. Search combines BM25 with dense vectors, chunks code with an AST splitter, and re-indexes only changed files using Merkle trees. It works with Claude Code, Codex CLI, Gemini CLI, Cursor and other MCP clients.

Who it is for: Developers giving Claude Code or other agents search over large repos

Strengths

  • Hybrid BM25 plus dense vector search over an indexed repo
  • Incremental re-indexing of changed files via Merkle trees
  • Embedding choice: OpenAI, VoyageAI, Ollama or Gemini
  • Also ships a core npm package and a VS Code extension

Weaknesses

  • Needs a Milvus or Zilliz Cloud instance; no embedded vector store mentioned
  • Default setup sends code to OpenAI for embeddings unless Ollama is configured
  • README claims ~40% token reduction from its own evaluation only
  • No tagged releases listed on the repository

What it needs

  • no GPU
  • Needs Node.js >= 20, Milvus or Zilliz Cloud, OpenAI API key (default embedding provider)
  • Models: OpenAI, VoyageAI, Ollama, Gemini

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