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.
@djm81
Basic information
MCP Server for ChromaDB integration into Cursor with MCP compatible AI models
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"chroma_mcp_prod": {
"command": "uvx",
"args": [
"chroma-mcp-server"
],
"env": {
"CHROMA_CLIENT_TYPE": "ephemeral",
"LOG_LEVEL": "INFO",
"MCP_LOG_LEVEL": "INFO"
}
}
}
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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.
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.
It is an MCP server that integrates with Chroma, the open-source embedding database, to provide a persistent working memory for AI-assisted development.
Install via pip: `pip install chroma-mcp-server`. For full embedding model support, use `pip install "chroma-mcp-server[full]"`.
Run `chroma-mcp-server --client-type persistent --data-dir ./my_data`. Without a data directory, data is lost on restart with ephemeral mode.
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.
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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