Python AI Agent Skills

MCP (Model Context Protocol) server for OpenGenes database This server implements the Model Context Protocol (MCP) for OpenGenes, providing a standardized interface for accessing aging and longevity research data. MCP enables AI assistants and agents to query comprehensive biomedical datasets through structured interfaces. The server automatically downloads the latest OpenGenes database and docume

A comprehensive Model Context Protocol (MCP) server for Zabbix integration using FastMCP and python-zabbix-utils. This server provides complete access to Zabbix API functionality through MCP-compatible tools. - hostget - Retrieve hosts with advanced filtering - hostcreate - Create new hosts with interfaces and templates - hostupdate - Update existing host configurations - hostdelete - Remove hosts

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).

A shared process layer for multi-agent development workflows Persistproc is an MCP server and command line tool which lets agents and humans see and control long-running processes like web servers. The goal is to reduce the amount of copying and pasting you need to do while coding with AI, make it easier for you to use multiple agents, and be tool-agnostic. There is no config file. Processes are m

An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time. - Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices. - Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT). - Value History: Generate visual charts of portfolio value over ti

Python FastAPI .cursorrules

An MCP server that standardizes and contextualizes Modbus data, enabling seamless integration of AI agents with industrial IoT systems. - Modbus Tools: - Read/write holding registers (readregister, writeregister). - Read/write coils (readcoils, writecoil). - Read input registers (readinputregisters). - Read multiple holding registers (readmultipleholdingregisters). - Prompt: Analyze Modbus registe

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing tools directly within Mattermost. - 🤖 Langgraph Agent Integration: Uses a LangGraph agent to understand user requests and orchestrate responses. - 🔌 MCP Server Integration: Connects to multiple MCP serve

Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude

A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction. - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries

Control your Reclaim.ai calendar, tasks, and habits from AI assistants via MCP. 40 tools across tasks, calendar, habits, focus time, and analytics. See docs/TOOLS.md for complete reference. Registries: PyPI · Smithery · Glama · GitHub · GitLab Limit exposed tools via RECLAIMTOOLPROFILE: Poetry (from source) Note: Use --directory flag instead of cwd – Claude Desktop doesn't respect cwd. Other MCP c

audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool stability, Bedrock checkpoints, OpenRouter routing drift, provider migration risk, and vLLM/SGLang KV reuse. LLM cache reuse usually fails silently. A timestamp in the system prompt, shuffled tool schemas

An MCP server that streams real-time cryptocurrency liquidation events from Binance, enabling AI agents to react instantly to high-volatility market movements. - Real-time Liquidation Streaming: Connects to Binance WebSocket to capture liquidation events. - Liquidation Data Storage: Maintains an in-memory list of up to 1000 liquidation events, with no persistent storage. - Tool: getlatestliquidati

AI assistants struggle with codebase understanding. You get: - ❌ "I can't see your code structure" - ❌ "I don't know what depends on this function" - ❌ Generic refactoring advice without impact analysis - ❌ No understanding of symbol relationships XRAY gives AI assistants code navigation capabilities. Add use XRAY tools to your prompt: XRAY provides three focused tools: - 🗺️ Map (explorerepo) - S

You are an AI assistant specialized in Python development.

Geocoding MCP server with GeoPY! - Python 3.6+ Install all required dependencies: - fastmcp: Framework for building Model Context Protocol servers - geoPy: Python library for accessing and geocoding/reverse geocoding locations. All dependencies are specified in requirements.txt for easy installation. - System Requirements - Dependencies - MCP Tools - Getting Started - Installation Options - Claude

This project is heavily reliant on our custom Drawscape Factorio python module.

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

CN Scraper MCP 让 AI Agent 直接搜索中国互联网——淘宝、京东、小红书、知乎、微博、B站、知识星球……不再被反爬墙挡住。 每个 AI Agent（Codex、Claude Code、Cursor、Trae）都能搜网页，但中文平台通常需要登录态、浏览器环境或平台专用参数： - 淘宝：需要浏览器一致的网络指纹和登录 Cookie - 京东：依赖已登录的本地浏览器环境 - 小红书：需要住宅 IP、本地浏览器和搜索结果中的访问参数 - 知乎：游客搜索已关闭，全部 API 需要登录态 - 拼多多：平台限制严格，目前不推荐使用 - 微博：搜索 API 需要登录态（SUB token），热搜游客即可访问 - 抖音：需要浏览器登录并可能人工处理验证码 - B站：搜索、热门、视频详情和评论可直接使用公开 API - 豆瓣：条目搜索、条目详情和短评/影评 - 大众点评：商户搜索、商户详情

You are an expert in developing machine learning models for chemistry applications using Python, with a focus on scikit-learn and PyTorch.