mcp
A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
A TypeScript CLI framework that ships your commands as a CLI, agent skills, and MCP.
A Mac-native AI agent with memory, local computer access, browser control, IM channels, and MCP-native integrations. Built on Shannon.
A 20-chapter hands-on Chinese tutorial on AI agent architecture, with runnable TypeScript code, covering tools, permissions, memory, multi-agent setups, worktrees, and MCP.
Master OpenCode, the open-source AI coding agent — setup, agents, skills, plugins, MCP, Zen & headless CI.
Veldra — talk an agent into existence, then watch it grow. A self-hostable, local-first agent platform: describe what you need in plain language and it compiles a working agent tools, MCP, RAG, teams. The more you use it, the better it gets agents learn from your feedback and reshape as you talk.
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, Hermes, etc.). Supports Serper, Tavily, and SearXNG.
Context-Engine MCP - Agentic Context Compression Suite
An MCP server for Azure DevOps
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client Protocol. Run multiple AI coding agents side by side with rich tool visualization, MCP integrations, built-in terminal, git, browser and just about anything else you may need.
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
Cross-Code Organizer (formerly Claude Code Organizer): cross-harness config dashboard for Claude Code, Codex CLI, MCP servers, skills, memories, agents, sessions, security scanning, context budget, and backups.
Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.
A local-first AI knowledge-base system (RAG) that connects local documents into a tutoring search and LLM chat workflow. Currently supports md, txt, pdf (text), xlsx, and csv files, with MCP server support.
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.
Azan + Prayer Time + MCP + AI Agents + Islamic + Salah + A lightweight MCP library to calculate prayer times and trigger Azan with a single tool call. If you’re building an AI agent or prayer application, there’s no need to deal with astronomical calculations, timezones, or edge cases again.
An MCP server for RenderDoc: Empowering AI assistants to analyze GPU frame captures and debug graphics pipelines.
The missing bridge between your ML models and your AI agents. MCP tools use the same Pydantic input validation and model execution as direct invoke() calls.
MCP server that provides LLMs with tools for interacting with EVM networks
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.