by arjunprabhulal · MCP Server · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/arjunprabhulal/mcp-gemini-search.gitTaken from the project's README on GitHub.
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.
| Stars | 56 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 71/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-12 |
| Created | 2025-04-04 |
| Platforms | gemini, mcp, python |
| Est. Tokens | ~14k |
Gemini Function Calling + Model Context Protocol(MCP) Flight Search This project demonstrates how to use Google's Gemini 2.5 Pro with function calling capabilities to interact with the tool via Model Context Protocol (MCP).
These tools work well together with mcp-gemini-search for enhanced workflows:
Looking for a mcp-gemini-search alternative? If you're comparing mcp-gemini-search with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
TypeScript framework for building production MCP servers. Fluent tool API, FSM gating, presenters, semantic ro
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
OpenAPI definitions, converters and LLM function calling schema composer.
Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway wi
🌍 The open-source Wikipedia of AI — 2M+ apps, agents, LLMs & datasets. Updated daily with tools, tutorials &
The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and u
Explore other popular mcp server tools:
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: