chroma-core/chroma-mcp

Overview

A Python-based MCP server that exposes Chroma vector database operations through the Model Context Protocol. It allows AI agents to store, query, and manage embeddings via a standardized interface.

Best for

Best for
Developers building MCP-based AI agents that need persistent vector storage and retrieval

Use cases

• Connect AI agents to a Chroma vector store for semantic search
• Persist and retrieve embeddings from agentic workflows
• Manage collections and documents through MCP tool calls

Notes

A Python-based MCP server that exposes Chroma vector database operations through the Model Context Protocol. It allows AI agents to store, query, and manage embeddings via a standardized interface.

554 stars on GitHub. Last updated 2025-09-17. Licensed Apache-2.0.

Use cases

• Connect AI agents to a Chroma vector store for semantic search
• Persist and retrieve embeddings from agentic workflows
• Manage collections and documents through MCP tool calls

Pros

• Leverages the popular Chroma vector database for production-grade storage
• Simple MCP integration for any MCP-compatible AI agent
• Open source with active community (554 stars)

Cons

• Requires a running Chroma instance or configuration
• Limited to Chroma’s feature set (no multi-vector or hybrid search)
• Python-only, may not fit non-Python agent stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.