chroma-core/chroma-mcp

Score: 31.9 Rank #5458

A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma

Overview

chroma-core/chroma-mcp is a Python MCP server licensed under Apache-2.0. A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma

Ranked #5458 out of 25632 indexed tools.

Ecosystem

Python Apache-2.0

Signal Breakdown

Stars 515

Freshness 5mo ago

Issue Health 39%

Contributors 6

Dependents 0

Forks 101

Description Good

License Apache-2.0

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Description low impact

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Freshness high impact

Last commit was 179 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 20 open vs 13 closed issues — triaging stale issues improves health

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Details

Stars: 515
Forks: 101
Open Issues: 20
Closed Issues: 13
Contributors: 6
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 5mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

<p align="center">
  <a href="https://trychroma.com"></a>
</p>

<p align="center">
    <b>Chroma - the open-source embedding database</b>. <br />
    The fastest way to build Python or JavaScript LLM apps with memory!
</p>

<p align="center">
  <a href="https://discord.gg/MMeYNTmh3x" target="_blank">
      
  </a> |
  <a href="https://github.com/chroma-core/chroma/blob/master/LICENSE" target="_blank">
      
  </a> |
  <a href="https://docs.trychroma.com/" target="_blank">
      Docs
  </a> |
  <a href="https://www.trychroma.com/" target="_blank">
      Homepage
  </a>
</p>

# Chroma MCP Server

[The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require.

This server provides data retrieval capabilities powered by Chroma, enabling AI models to create collectio

Read full README on GitHub →

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