Chroma MCP Server

@privetin

リポジトリ

基本情報

カテゴリ

データベース

トランスポート

stdio

作者

privetin

Chroma MCP Server について

A Model Context Protocol (MCP) server implementation that provides vector database capabilities through Chroma.

#chroma#vector-database #mcp-server

Chroma 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": {
    "chroma": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Chroma 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Chroma MCP Server?

An MCP server that provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage. It is designed for developers integrating semantic search into AI applications.

How to use Chroma MCP Server?

Install dependencies with uv venv and uv sync --dev --all-extras, then start the server with uv run chroma. Add the configuration to your Claude Desktop config file to enable the server, then interact via MCP tools like create_document and search_similar.

Key features of Chroma MCP Server

Semantic search using Chroma embeddings
Metadata filtering on search results
Content filtering for additional precision
Persistent storage in a local directory
Comprehensive error handling with clear messages
Automatic retries for transient failures

Use cases of Chroma MCP Server

Store and retrieve documents with semantic similarity search
Filter search results by metadata fields like year or category
Manage a persistent document collection for AI assistants
Automate document CRUD operations in MCP-based tools

よくある質問

What are the runtime requirements?

Python 3.8+, Chroma 0.4.0+, and MCP SDK 0.1.0+.

Where does the data persist?

Data is stored in `src/chroma/data` directory and persists between server restarts.

What tools does the server provide?

It provides CRUD tools for documents (`create_document`, `read_document`, `update_document`, `delete_document`, `list_documents`) and a `search_similar` tool for semantic search with optional filters.

How do I configure the server for Claude Desktop?

Add a `chroma` entry to your `claude_desktop_config.json` using `uv` with `--directory` pointing to the server’s path and `run chroma` as args.

What error messages can I expect?

Common errors include “Document already exists [id=X]”, “Document not found [id=X]”, “Invalid input: Missing document_id or content”, and “Invalid filter”.

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