v0.3.10 · MIT
This is a 12306 ticket search server based on the Model Context Protocol (MCP).
— · Apache-2.0
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.
v0.0.0 · Apache-2.0
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
v2.9.33 · MIT
MCP server for Apple Notes - read, search, create, edit, organize, and export notes on macOS via Claude and other AI assistants
— · Apache-2.0
Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.
— · Apache-2.0
LeanCTX — Context Gateway for AI systems.
— · MIT
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
— · Apache-2.0
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
v2.9.0 · MIT
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks
v0.13.7 · MIT
PostgreSQL MCP server, read-only by default: query, schema introspection, EXPLAIN plans, index advisor, and DBA health checks.
— · Apache-2.0
Plugin for JADX to integrate MCP server
v0.2.63 · MIT
DeepSeek Harness MCP Connector: connect servers, search tools across active connections, and troubleshoot discovery. Includes a continuously updated catalog; supports OAuth 2.0 PKCE, API keys, Streamable HTTP/stdio, and mcpServers JSON import.
— · Apache-2.0
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
— · MIT
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
v0.3.0 · Apache-2.0
Your First LLM-Wiki Conversation Knowledge Base
— · MIT
x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
— · MIT
The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
v1.12.0 · MIT
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
v1.0.0 · MIT
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
— · Apache-2.0
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
v1.1.31 · MIT
A harness for driving a Godot 4 project from an agent: editor addons, a runtime bridge into the running game, an MCP server in front of them, and a CLI that installs and diagnoses the Godot side.
— · Apache-2.0
High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d
v1.2.0-beta.3 · MIT
Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.
v1.0.0 · rights.institute/prosper
Generate production-ready MCP servers from any OpenAPI specification using the highly-used and convenient [mcp-use](https://mcp-use.com) framework