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MCP Servers

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

This guide provides comprehensive instructions for setting up various Model Context Protocol (MCP) servers with Claude Code.

A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.

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

Burp Suite extension that adds built-in MCP tooling, AI-assisted analysis, privacy controls, passive and active scanning and more

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.

MCP for Ruby and RubyLLM, as easy as possible.

Fixed bugs in LibreOffice MCP tools. New model results added: Kimi-K2.5, Gemini-3.1-Pro, Claude-4.5-Sonnet, and Qwen3.5-Plus.

A lightweight Ruby framework for implementing MCP (Model Context Protocol) servers with a Sinatra-like DSL.

Official agent plugin providing skills and MCP server configurations for Azure scenarios.

This server requires a client that supports Streamable HTTP (not SSE). There are a few MCP clients that currently support Streamable HTTP including the MCP Inspector.

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...
Agent Skills

High-performance browser automation bridge and multi-instance orchestrator with advanced stealth injection and real-time dashboard.

EmDash is a full-stack TypeScript CMS based on Astro; the spiritual successor to WordPress

Visualize, query, and stream to train on multimodal robotics data.

npx ccusage

Enjoy the magic of Diffusion models!

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The official, opinionated, batteries-included toolset for efficient Redux development

Skill of using anytype via agent-runtime with installation instructions for various agents

Memory library for building stateful agents

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LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

Browser4 — an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation.