Chroma Vector DB MCP Server

Query local Chroma vector collections and manage embeddings for RAG applications.

Official Repository / Source Documentation

What it does

The official MCP integration for Chroma, the AI-native open-source embedding database. Lets LLMs inspect stored document chunks, run cosine similarity lookups, and test retrieval quality interactively.

Installation & Setup

Level: intermediate

```json
{
  "mcpServers": {
    "chroma": {
      "command": "uvx",
      "args": ["chroma-mcp", "--host", "localhost", "--port", "8000"]
    }
  }
}
```

Prerequisites: Python uv or pip, Chroma service running on localhost:8000.

Security & Privacy Notes

Operates on local loopback network interface.

Related AI Tools on AlsoClick

Leading AI platforms compatible with Chroma Vector DB MCP Server.

View all →

Claude

Conversational Assistant

More Data & Analytics Skills & Extensions

ConnectorData & Analytics

Official

LlamaIndex Data Connectors (LlamaHub)

Over 300 pre-built data loaders connecting LLMs to private documents, databases, and enterprise apps.

Works with:ChatGPTClaudeGemini

Details & Install →Source

GPTData & Analytics

Official

Wolfram GPT

Empowers ChatGPT with computational mathematics, physics, chemical formulas, and curated factual data.

Works with:ChatGPT

Details & Install →Source

MCP ServerData & Analytics

Official

Qdrant MCP Server

Search vector embeddings, manage collections, and run hybrid semantic search in Qdrant.

Works with:ClaudeCursorGoogle Antigravity

Details & Install →Source