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MCP Servers

Pipecat MCP Server gives your AI agents a voice using Pipecat. It should work with any MCP-compatible client:

@cyanheads/pubmed-mcp-server Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP. 10 Tools • 1 Resource • 1 Prompt

CLI-first MCP server for composer-based Kirby CMS projects — inspect blueprints/templates/plugins, interact with a real Kirby runtime, and use a bundled Kirby knowledge base.

Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB.

VV knowledge layer for AI agents — MCP server exposing Visualize Value frameworks, voice, and content

Maybe the headless Ghidra MCP you are looking for.

A retrieval layer for AI agents over peer-reviewed papers, books, patents, standards, Wikipedia, Reddit, Telegram, Discord, and YouTube.

MCP server for build123d to improve AI cognition when creating 3D CAD models

MCP server that gives AI agents instant codebase understanding via the Supermodel API. Pre-computed code graphs enable sub-second responses for symbol lookups, call-graph traversal, and...

A lightweight, zero-footprint TypeScript MCP server that lets AI assistants drive the Godot 4.x game engine.

A MCP server that connects to Stakpak API.

between your team and your AI coding agents. Define your rules once. Enforced everywhere. Every session.
Agent Skills

一句话:输入一个基金代码,Agent 把基金经理 8 年的每一笔买卖翻出来,拿 12 个月后的真实走势逐笔验对错,最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测,全都有。

Skills, rules, and validation hooks that teach AI coding agents to generate correct UdonSharp code

The map is not the territory. Your prompt is a map; the codebase and the real world are the territory.

agnix Lint agent configurations before they break your workflow

(As usual, XKCD has a comic for this. Appropriately enough, the comic is out of date.)

Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.

AI agents like Claude Code ship features fast. AIDD Framework keeps them working, secure, and maintainable.

AI skills for PixiJS v8, the fast 2D rendering library for WebGL, WebGPU, and Canvas. They teach agents correct PixiJS usage: Application setup, scene graph, sprites, graphics, text, filters, custom...

Reusable skills and steering that teach AI coding agents how to apply the AWS Well-Architected Framework. One set of playbooks, .

Elves is an open-source Agent Skill for handing planned development or research work to a separate worker without locking the run to one model provider.

is a config-driven dev tool for Elixir projects that manages your AGENTS.md file and agent skills from dependencies. It:

Guides and production-ready commands for Claude Code: skills, subagents, hooks, memory, custom commands, and conversation-history tooling.