An MCP server for the Chroma embedding database, providing persistent, searchable working memory for AI-assisted development with features like automated context recall and codebase indexing.
A Model Context Protocol (MCP) server integration for Chroma, the open-source embedding database.
Chroma MCP Server creates a persistent, searchable "working memory" for AI-assisted development:
Key features:
See the Getting Started with your Second Brain guide for more details.
# Basic installation
pip install chroma-mcp-server
# Full installation with all embedding models
pip install "chroma-mcp-server[full]"
# With in-memory storage (data lost on restart)
chroma-mcp-server --client-type ephemeral
# With persistent storage
chroma-mcp-server --client-type persistent --data-dir ./my_data
Add or modify .cursor/mcp.json
in your project root:
{
"mcpServers": {
"chroma": {
"command": "uvx",
"args": [
"chroma-mcp-server"
],
"env": {
"CHROMA_CLIENT_TYPE": "persistent",
"CHROMA_DATA_DIR": "/path/to/your/data",
"CHROMA_LOG_DIR": "/path/to/your/logs",
"LOG_LEVEL": "INFO",
"MCP_LOG_LEVEL": "INFO",
"MCP_SERVER_LOG_LEVEL": "INFO"
}
}
}
}
chat_history_v1
, codebase_v1
) are automatically created on server startup if they don't exist.Comprehensive documentation is available in the docs directory:
Chroma MCP Server is licensed under the MIT License with Commons Clause. This means you can:
✅ Allowed:
❌ Not Allowed:
See the LICENSE.md file for the complete license text.
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