πŸ€–

Chroma

🟒Safe
AI & Machine Learning

Embeddings, vector search, document storage, and full-text search with the open-source AI application database

STEP 1

Understand what it does

Tell your agent things like:

β†’β€œuse chroma”
β†’β€œgenerate text”
β†’β€œanalyze with AI”
β†’β€œuse machine learning”
PERMISSIONS

What this capability can access

This capability requires the following permissions:

πŸ“–
Read Files
Reads local files and directories
🌐
Read External Data
Fetches data from external sources
STEP 2

Set it up

Available on 2 platforms. Pick yours:

MCP (Model Context Protocol)Docs

Add to your MCP client configuration:

{
  "mcpServers": {
    "chroma": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-chroma"]
    }
  }
}
LangChainDocs
$ pip install langchain-community
from langchain_community.tools import ...
# See docs for specific import
STEP 3

Go deeper

Full documentation and source code

Add to your README

Show that your tool is listed on AgentSift

Chroma trust score on AgentSift
[![AgentSift](https://agentsift.com/api/badge/capability/chroma)](https://agentsift.com/capabilities/chroma)

Options: ?style=flat-square for square corners, ?score=false for simple β€œlisted” badge

#mcp#agent-tool#ai-ml

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