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Chroma MCP Server

@djm81

リポジトリ

基本情報

カテゴリ

データベース

ライセンス

NOASSERTION

トランスポート

stdio

作者

djm81

Chroma MCP Server について

MCP Server for ChromaDB integration into Cursor with MCP compatible AI models

#chroma-mcp-server#second-brain#thinking-tools#working-memory

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_mcp_prod": {
      "command": "uvx",
      "args": [
        "chroma-mcp-server"
      ],
      "env": {
        "CHROMA_CLIENT_TYPE": "ephemeral",
        "LOG_LEVEL": "INFO",
        "MCP_LOG_LEVEL": "INFO"
      }
    }
  }
}

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。

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 Chroma MCP Server?

A Model Context Protocol (MCP) server integration for Chroma, the open-source embedding database. It creates a persistent, searchable "working memory" for AI-assisted development, enabling automated context recall and developer-managed persistence.

How to use Chroma MCP Server?

Install via pip install chroma-mcp-server (add [full] for all embedding models). Run with chroma-mcp-server --client-type ephemeral for in-memory storage or --client-type persistent --data-dir ./my_data for persistent storage. Integrate with Cursor by adding a configuration block to .cursor/mcp.json.

Key features of Chroma MCP Server

  • Automated codebase indexing and change tracking
  • Automated chat logging with enhanced context capture
  • Bidirectional linking between discussions and code changes
  • Semantic code chunking preserving logical code structures
  • Working memory tools for capturing and retrieving context
  • Validation system for evidence-based code change assessment
  • Automated test-driven learning workflow from failure to fix

Use cases of Chroma MCP Server

  • Automated context recall: AI assistants query relevant information from past sessions
  • Developer-managed persistence: store key decisions and insights in ChromaDB via MCP
  • Second Brain integration: integrate with IDE workflows to create a unified knowledge hub
  • Automated learning: capture test failures, monitor fixes, and promote validated learnings

よくある質問

1

What is Chroma MCP Server?

It is an MCP server that integrates with Chroma, the open-source embedding database, to provide a persistent working memory for AI-assisted development.

2

How do I install it?

Install via pip: `pip install chroma-mcp-server`. For full embedding model support, use `pip install "chroma-mcp-server[full]"`.

3

How do I run it with persistent storage?

Run `chroma-mcp-server --client-type persistent --data-dir ./my_data`. Without a data directory, data is lost on restart with ephemeral mode.

4

How do I integrate Chroma MCP Server with Cursor?

Add a `chroma` entry under `mcpServers` in `.cursor/mcp.json` specifying the command `uvx` and arguments `["chroma-mcp-server"]`, plus environment variables for client type, data directory, and log paths.

5

What are the license restrictions?

The server is licensed under MIT with Commons Clause. You may use, modify, and distribute it, and sell products built with it, but you may not sell the server itself, offer it as a hosted service, or create competing products based on it.

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