Python AI Agent Skills

An MCP server that provides real-time cross-chain bridge metrics, enabling AI agents to analyze liquidity, transaction flows, and performance across blockchain networks. - List Chains: Retrieve a list of all chain slugs from DeFiLlama, sorted by Total Value Locked (TVL) in descending order. - List Bridges: Fetch all bridges, optionally including chain breakdowns, sorted by 24-hour volume. - Histor

Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and

1. **Project Overview**:

MCP server for Pearch.AI: natural-language search over people and companies/leads (B2B). Use it from Cursor, Claude Desktop, VS Code, or any MCP-compatible client. - searchpeople — natural-language search for people (e.g. “software engineers in California with 5+ years Python”); returns candidates with optional insights and profile scoring. - searchcompanyleads — find companies and leads/contacts

You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE

An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor

An MCP server that enables cross-chain token transfers via the Stargate protocol. - Chain Discovery: List all supported blockchains with key details. - Token Discovery: Find bridgeable tokens across chains. - Quote Fetching: Get real-time bridge quotes with fees, estimates, and transaction steps. - Automated Bridging: Execute transfers with automatic signing and broadcasting using your private key

"language": "Python",

This project has been deprecated and is no longer functional. Date: January 25, 2026 Reason: This project violated AllTrails' Terms of Service by scraping their website without authorization. At the request of AllTrails' CTO, all scraping functionality has been disabled. This repository is maintained for historical purposes only and to preserve GitHub stars, but the code no longer works and should

A Model Context Protocol (MCP) server for the Mailchimp Marketing API. 53 tools to query and manage your Mailchimp account directly from Claude. Uses the Mailchimp Marketing API via requests. Not based on the official mailchimp-marketing-python client. I hit too many issues with it so I went with raw HTTP calls instead. - Campaigns - List, search, and inspect campaign details - Reports - Open/clic

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

A MCP server to connect to wolfram alpha API. This is analogous to the !wa bang in duckduckgo search. Query Wolfram Alpha api. You must set the WOLFRAMAPIKEY environment variable. Get an api ket from Wolfram Alpha. This was tested with the full results API, but it might not be required. Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-insp

[![MIT licensed][mit-badge]][mit-url] [![Python Version][python-badge]][python-url] [![PyPI version][pypi-badge]][pypi-url] [mit-badge]: https://img.shields.io/pypi/l/mcp.svg [mit-url]: https://github.com/reeeeemo/ancestry-mcp/blob/main/LICENSE [python-badge]: https://img.shields.io/pypi/pyversions/mcp.svg [python-url]: https://www.python.org/downloads/ [pypi-badge]: https://badge.fury.io/py/mcp-s

This server is a server that installs other MCP servers for you. Install it, and you can ask Claude to install MCP servers hosted in npm or PyPi for you. Requires npx and uv to be installed for node and Python servers respectively. Put this into your claudedesktopconfig.json (either at ~/Library/Application Support/Claude on macOS or C:\Users\NAME\AppData\Roaming\Claude on Windows):

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储、智能多媒体，直播服务等。 - 获取 Bucket 列表 - 获取 Bucket 中的文件列表 - 上传本地文件，以及给出文件内容进行上传 - 关于访问七牛云存储详细情况请参考 基于 MCP 使用大模型访问七牛云存储。 - 创建直播空间bucket - 获取推拉流直播地址 - Python 3.12 或更高版本 如果还没有安装 uv，可以使用以下命令安装： 具体安装方式参考 uv 安装 1. 在 vscode 下载 Cline 插件（下载后 Cline 插件后在侧边栏会增加 Cline 的图标） 3. 配置 qiniu MCP 1. 点击 Cline 图标进入 Cline 插件，选择 MCP Server 模块

An MCP server that enables AI agents to interact with PumpSwap for real-time token swaps and automated on-chain trading. - Buy Tokens: Purchase tokens using SOL with customizable slippage and priority fees. - Sell Tokens: Sell tokens for SOL with configurable parameters. - Token Price Query: Retrieve current token prices in SOL. - Pool Data Retrieval: Fetch and display detailed pool information fo

An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment's aggregated social media and news data to track market mood and detect emerging trends. - Sentiment Analysis: Retrieve sentiment balance (positive vs. negative) for specific cryptocurrencies. - Social Volume Tracking: Monitor total social media mentions and detect significant shifts (spikes or drops).

Python FastAPI .cursorrules

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like: - "Store the entire conversation in a stream" - "Cache th

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation. - Python 3.6+ - SQLite database file (path specified via environment variable) Install all required dependencies: - fastmcp: Framewor