chroma-mcp
A Model Context Protocol (MCP) server implementation that provides database capa
What it does for you
Connects your AI to Chroma — store documents and run semantic search, a lightweight RAG memory backend.
Capabilities
- Store and embed documents
- Semantic retrieval
Once installed, try asking your AI
Say this directly in Claude / Cursor or any client with this server connected
- ›“Store these docs so I can semantically search them later”
Before you connect
Install / Connect
# No npm package — install from source.
# See the repo's README for the exact command:
# https://github.com/chroma-core/chroma-mcpFollow the official README; env and args vary per server.
🛠️ Maintenance weight 30% · 14 pts
📊 Adoption weight 25% · 50 pts
✅ Usability weight 20% · 20 pts
❤️ Health & community weight 25% · 58 pts
Sources: GitHub API · updated 2026-07-30
90-day trend
⭐ stars +1%
Similar / alternative servers
How to choose among these
Database servers split into relational vs. vector; vector stores are all for RAG, differing by scale and hosting.
- Relational DB (business data, SQL)→Pick Supabase / Neon / MongoDB / ClickHouse — match your DB
- RAG with semantic memory→Pick a vector store: Pinecone (scaled) / Qdrant / Chroma (light) / Weaviate
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