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Cocoindex Code MCP Server

@cocoindex-io

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カテゴリ

開発者ツール

トランスポート

stdio

作者

cocoindex-io

投稿者

Linghua

Cocoindex Code MCP Server について

An MCP (Model Context Protocol) server for indexing and querying codebases using CocoIndex. Features semantic code search with natural language queries, incremental indexing for fast updates, multi-language support (Python, JavaScript/TypeScript, Rust, Go, Java, C/C++, C#, SQL, S

#code-search#semantic-search#codebase#indexing#embeddings#multi-language#sqlite#cocoindex#developer-tools

Cocoindex Code MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cocoindex-code": {
      "command": "uvx",
      "args": [
        "--prerelease=explicit",
        "--with",
        "cocoindex>=1.0.0a13",
        "cocoindex-code@latest"
      ]
    }
  }
}

Cocoindex Code MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Cocoindex Code?

Cocoindex Code is an MCP (Model Context Protocol) server for indexing and querying codebases using CocoIndex. It provides semantic code search via natural language queries, supports incremental indexing, multiple programming languages, and flexible embedding models with portable SQLite storage.

How to use Cocoindex Code?

Install uv, then add the server via claude mcp add cocoindex-code using uvx. Optionally set COCOINDEX_CODE_EMBEDDING_MODEL and the corresponding API key environment variable. The server exposes a single search tool. Configuration can be adjusted via environment variables like COCOINDEX_CODE_ROOT_PATH.

Key features of Cocoindex Code

  • Semantic code search using natural language queries
  • Incremental indexing – only re-indexes changed files
  • Multi-language support (Python, JS/TS, Rust, Go, Java, C/C++, C#, SQL, Shell, and more)
  • Local SentenceTransformers or 100+ cloud embedding providers via LiteLLM
  • Portable SQLite storage – no external database required

Use cases of Cocoindex Code

  • Find relevant code snippets by describing them in natural language
  • Rapidly navigate large, unfamiliar codebases
  • Integrate semantic code search into AI-assisted coding tools
  • Support polyglot projects with a single indexing pipeline

よくある質問

1

How do local embeddings differ from cloud embeddings?

Local embeddings use SentenceTransformers and require no API key; cloud embeddings use LiteLLM and need a provider API key and model identifier.

2

What are the runtime dependencies?

The server requires `uv` to run via `uvx`. No external database setup is needed – the index is stored locally in `.cocoindex_code/`.

3

Where is the index stored?

The index resides in `.cocoindex_code/` under the codebase root, containing a vector database (`target_sqlite.db`) and CocoIndex state (`cocoindex.db/`).

4

Which file types are supported?

Python, JavaScript, TypeScript, Rust, Go, Java, C, C++, C#, SQL, Shell, Markdown, and Plain Text. Common generated directories are automatically excluded.

5

How is the codebase root discovered?

If `COCOINDEX_CODE_ROOT_PATH` is not set, the server looks for the nearest parent containing `.cocoindex_code/`, then `.git/`, and finally falls back to the current working directory.

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