公开目录未提供摘要。
An MCP server that tracks AI prompts in Claude Code and automatically annotates git commits with the history of what was asked. It provides tools to query session summaries, retrieve uncommitted work, and manage AI provenance directly within Claude.
A basic Model Context Protocol server that provides static information and facts about cats, dogs, and birds. It enables users to retrieve general animal data through Claude Desktop using either local stdio or HTTP transport.
Accepts labels and data and returns a bar chart PDF generated from the data.
全面解析Simple Model Context Protocol MCP MCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Simple Model Context Protocol MCP 能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Provides basic mathematical operations including addition, subtraction, multiplication, division, and power calculations through a Model Context Protocol interface.
A custom MCP server that provides arithmetic calculation tools and fast mathematical operations for AI assistants.
A demonstration of custom Model Context Protocol (MCP) implementation for arithmetic operations, containerized with Docker for seamless deployment.
Enables AI models to access GitHub repository information and search local documentation files. Provides three basic tools: fetching repository details, retrieving file contents from GitHub, and searching through local markdown documentation.
Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.
A minimal browser debugging MCP server that monitors Chrome Console logs and executes JavaScript. 97% lighter than full DevTools alternatives, providing just 4 essential tools for efficient debugging without consuming excessive context tokens.
A minimal demonstration MCP server that provides basic mathematical addition and greeting functionality, serving as a template for building and deploying FastMCP servers.
24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.
A lightweight MCP server built with Hono and Cloudflare Workers that provides a tool for prime factorization. It serves as a minimal implementation for deploying remote MCP servers to serverless edge environments.
A lightweight server implementation that exposes Python functions as discoverable tools via HTTP using the Machine-to-Machine Communication Protocol (MCP). Enables remote execution of Python functions through a JSON-RPC interface with async support and type safety.
Provides Jira Cloud integration for AI agents, enabling them to search issues with JQL, retrieve detailed issue information, and create new tickets. It supports multiple Jira configurations and provides tools for managing attachments and comments through natural language.
Practice building MCP servers
A Python-based Model Context Protocol server that integrates local AI models for managing data with features like CRUD operations, similarity search, and text analysis.
A Python-based demonstration server showcasing multiple Model Context Protocol transport mechanisms, including stdio, SSE, and HTTP. It provides a functional reference for tool discovery and execution using a sample number addition tool.
MCP server for analyzing Perl code with Perl::Critic, enabling code quality checks via both file paths and direct code input.




