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MCP Servers

A comprehensive Model Context Protocol (MCP) server for Yahoo Fantasy Football that provides intelligent lineup optimization, draft assistance, and league management through AI-powered tools.

ros2-mcp-server is a Python-based server that integrates the Model Context Protocol (MCP) with ROS 2, enabling AI assistants to control robots via ROS 2 topics.

Civic AI Tools connects AI assistants (GitHub Copilot, Cursor, Claude Code) to public datasets using the Model Context Protocol (MCP).

An open-source MCP server that enables AI assistants to interact with Confluent Cloud, Confluent Platform, and standalone Apache Kafka deployments through natural language.

A Python-based flow for securities analysis using the . The repository bundles market data, parsing, analytics and visualisation tools behind a FastMCP server so that they can be consumed locally or...

A model context protocol (MCP) server for Autodesk Fusion that provides resources and tools from ADSK to an AI client such as Claude or Cursor.

The Beancount MCP Server is an experimental implementation of the Model Context Protocol (MCP) designed to interface with Beancount ledger files.

Flux is your ultimate task management sidekick – a lightning-fast Kanban board that lets humans, AI agents, and automations team up to crush chaos.

A minimal MCP (Model Context Protocol) server that provides AI assistants with access to bpftrace kernel tracing capabilities.

Remote MCP Server that securely connects Enterprise context with your LLM, IDE, or agent platform of choice.

Connect your EndNote reference library to Claude AI. Search references, read PDFs, format citations, find related papers, and generate bibliographies — all directly in Claude Desktop conversations.

I'm not quite sure this works as is 😂 You may need to ask the model you're working with to clean it up:
Agent Skills

Open source AI terminal for cloud and infrastructure management, enabling you to deploy, troubleshoot, and automate services using natural language and intelligent agents.

"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein

[//]: # (These images are referenced by full URLs to ensure they render correctly on https://pypi.org/project/git-machete/) [//]: # (In fact, only the light-mode image is used in PyPI, the other one...

AI를위한JSONUI마스터

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

Vibe first. Then FastAgent — turn a local agent directory into a live service: in your app, on GitHub, in Telegram, or any channel.

Plugin-skill wrapper around Z4nzu/hackingtool. Runs locally on any OS — native Bash on Linux/macOS, WSL on Windows, or purpose-built Docker images (instrumentisto/nmap, projectdiscovery/nuclei,...

Claude Code Dedicated Development Harness - Achieving High-Quality Development Through an Autonomous Plan→Work→Review Cycle

Due-Process Review for Bounded LaTeX Revision

Pastebin on Cloudflare worker, with friendly CLI usage and rich features

A self-hosted AI gateway with a general-purpose agent at its core.