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MCP Servers

A Model Context Protocol (MCP) server for integrating Google's Gemini 3 models with Claude Code, enabling powerful collaboration between both AI systems. Now with a beautiful CLI!

— Security: removed child_process dependency entirely; debug endpoints now require auth; localhost guard on all LS RPC calls. See CHANGELOG.

A tool to convert OpenAPI specifications to MCP (Model Context Protocol) server configurations.

tunnel-client is the customer-run agent behind Secure MCP Tunnel. It connects a private or localhost MCP (Model Context Protocol) server to ChatGPT, Codex, the Responses API, and AgentKit through an...

Your team of AI specialists for coding, research, and automation. Build a crew of focused agents that code, research, architect, review, and automate.

MCP for Ruby and RubyLLM, as easy as possible.

BrowserWing turns your browser actions into MCP commands Or Claude Skill, allowing AI agents to control browsers efficiently and reliably.

Model Context Protocol (MCP) server implementation for DataForSEO, enabling AI assistants to interact with selected DataForSEO APIs and obtain SEO data through a standardized interface.

Query CVEs, exploits and advisories enriched with CVSS, EPSS and exploitation status; assess your software, hosts and SBOMs for the vulnerabilities that affect them; and stream the whole graph for...

Open-source Figma MCP server with full read/write access via plugin — no REST API, no rate limits. Turn text into designs and designs into real code.

v2 adds day-one support for the MCP 2026-07-28 spec revision; upgrading from v1 is covered by the Migration Guide. For the stable v1 code and documentation, see the 1.x branch.

Apollo MCP Server is a Model Context Protocol server that exposes GraphQL operations as MCP tools. It provides a standard way for AI models to access and orchestrate your APIs running with Apollo.
Agent Skills

265 Rust rules your AI coding agent can use to write better code. Current for Rust 1.96 (2024 edition).

面向硬件产品的PCB方案设计 AI Agent。输入产品需求,输出可评审、可落地的PCB原理图的方案。

Code is cheap. Context, control, and evidence are not. Let the model move the work forward. Let the human own goals, boundaries, permissions, checkpoints, evidence, and acceptance.

Built from practice, not theory — calibrated against real deals including vLLM/Inferact ($150M @ $800M) and Hugging Face ($235M @ $4.5B).

Personal AI assistant built on agentsdk-go.

(maintained by the authors): - https://github.com/minicoohei/ai-agent-camp Running AI agents from this repo grants them shell, file-write, and external-API permissions on your machine.

An AI coding assistant skill for creating, compiling, reviewing, and polishing academic presentations.

Run any coding agent, on any OS, from desktop or phone . just terminals. no abstractions.

Portable operating instructions for AI agents controlling Android and iOS devices—locally or in the cloud.

Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.

skill infrastructure for multi-agent projects

Make AI coding agents remember your project between sessions.