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Chroma MCP

Open-source embedding database for AI applications. Create collections, add documents with embeddings, and run semantic similarity searches. Purpose-built for RAG pipelines and LLM memory with automatic embedding management.

What is Chroma MCP?

Chroma MCP is a Model Context Protocol server published by chroma-core that lets AI assistants interact with databases services. Once configured, your assistant can call its connected tools in natural language instead of you hand-writing every request against the underlying API.

What Can You Do With It?

  • Store and query embeddings
  • Build RAG pipelines
  • Run semantic search

How to Use This Server

  1. 1. Choose your AI clientAdd Chroma MCP to an MCP-compatible assistant (Claude, Cursor, VS Code, or any client listed in the official MCP docs).
  2. 2. Install the serverFollow the install instructions below. Most servers install with a package manager in a few minutes and need only an API key or a local credential.
  3. 3. Add it to your configurationWrite the server block into your client's config file exactly as the official docs publish — including any arguments, environment variables, and path fields.
  4. 4. Start askingRestart your client and describe the task in natural language — the assistant uses the server's tools against your real data and services.

Server Specs

Publisher
chroma-core
Category
Databases
Difficulty
Beginner-friendly
Tags
ChromaVector DBEmbeddingsRAG

Get It Set Up

Security note: MCP servers run with the credentials you give them. Only install servers you trust, review tool lists before enabling them, and use scoped credentials (read-only tokens where possible). Axonix is an independent directory, not the publisher of this server.