What is claude-gemini-mcp-slim?

60/100
Trust Score (C)
⚠️ Use Caution

claude-gemini-mcp-slim is a coding that Lightweight MCP integration bringing Google's Gemini AI capabilities to Claude Code with 1M+ token context window, smart model selection, and powerful code analysis tools. It has a Nerq Trust Score of 60/100 (C). 204 GitHub stars. Published by cmdaltctr. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

60
TRUST SCORE
C
GRADE
204
STARS
0
DOWNLOADS

What claude-gemini-mcp-slim Does

claude-gemini-mcp-slim is a mcp_server in the coding category. Lightweight MCP integration bringing Google's Gemini AI capabilities to Claude Code with 1M+ token context window, smart model selection, and powerful code analysis tools. It is published by cmdaltctr and has no specified license. With 204 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use claude-gemini-mcp-slim

claude-gemini-mcp-slim is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorcmdaltctr
Categorycoding
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=claude-gemini-mcp-slim

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is claude-gemini-mcp-slim used for?
claude-gemini-mcp-slim is a coding tool. Lightweight MCP integration bringing Google's Gemini AI capabilities to Claude Code with 1M+ token context window, smart model selection, and powerful code analysis tools.
Is claude-gemini-mcp-slim free?
License: Check project page. claude-gemini-mcp-slim has 204 GitHub stars.
Is claude-gemini-mcp-slim safe?
claude-gemini-mcp-slim has a Nerq Trust Score of 60/100 (C). Use with caution.
What are alternatives to claude-gemini-mcp-slim?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated April 2026. Trust scores based on automated analysis of public data.

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