Chroma MCP
Give AI agents a vector memory store for semantic search over your documents
How to Install Chroma MCP
$npx chroma-mcpRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
About Chroma MCP
The Chroma MCP server connects AI agents to a Chroma vector database, enabling semantic search and retrieval-augmented generation (RAG) over large document collections. Instead of stuffing context windows with full documents, agents use Chroma to retrieve only the most relevant paragraphs — making knowledge retrieval both cheaper and more accurate. Ideal for agents working with codebases, documentation, or large knowledge bases.
Chroma MCP is a Database MCP server designed for developers, analysts, and data teams. It enables querying and managing databases from an AI assistant by exposing schema introspection and SQL execution as MCP tools. Key capabilities include schema introspection across tables and views, parameterised sql execution, read-only and read/write modes, and structured tool calls that work cleanly inside an LLM context. It integrates with Postgres, MySQL, SQLite, MongoDB, Redis, BigQuery, and Snowflake, and is best suited for developers, analysts, and data teams who need ad-hoc analytics without a bi tool.
Key Features
- vector-database
- rag
- embeddings
- semantic-search
- memory
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the Chroma MCP website for current pricing.
Pros & Cons
Pros
- Lets the assistant write and run real queries instead of guessing
- Read-only mode is safe to point at production-shaped data
- Skips most ORM and CSV-shuffling boilerplate
Cons
- Misconfigured permissions can expose sensitive data
- Long-running queries need explicit timeouts
- Schema drift requires reconnecting or refreshing context
Best For
- Ad-hoc analytics without a BI tool
- Drafting migrations and reviewing query plans
- Letting non-SQL teammates ask questions of a database
- Bootstrapping internal admin workflows
Screenshots
Screenshots coming soon —
Submit yours →Our Take on Chroma MCP
Chroma MCP is the cleanest way to add semantic memory and RAG to any AI agent — especially powerful when combined with a filesystem or codebase MCP.
Alternatives to Chroma MCP
Query and manage your Supabase database with AI
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