claude-gemini-mcp-slim: Lightweight MCP integration bringing Google's Gemini AI capabilities to Claude Code with 1M+ token context

by cmdaltctr · MCP Server · ★ 233

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claude-codeclaude-hooksgemini-apigemini-cli

Quick Facts

Stars233
Forks18
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues1
Last Updated2025-11-16
Created2025-07-11
Platformsclaude-code, cli, gemini, mcp, python
Est. Tokens~25k

About claude-gemini-mcp-slim

Claude Gemini MCP Integration 🚀 What's Coming Next: I'm building an AI Agent Feedback Loop System that enables intelligent collaboration between Claude Code and Gemini AI. This will create a continuous improvement cycle where both AI agents learn from each other's suggestions, creating smarter code analysis and more contextual development assistance.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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