Python AI Agent Skills

A Model Context Protocol (MCP) server for interacting with Anki flashcards via the AnkiConnect add-on. This server exposes AnkiConnect actions as MCP tools, organized into logical services. - Anki desktop application - AnkiConnect add-on installed and configured in Anki - Python 3.8+ - uv (for running and installing dependencies, optional but recommended) To run the MCP server: The server will sta

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

A Model Context Protocol (MCP) server for summarizing homepage of the user or contents of subreddits and comments on posts. - Summarize user's reddit frontpage (homepage) with or without comment analyses. - Summarize a subreddit contents by inspecting posts sorted by hot, new, top, rising, random (if aviable) with or without comment analysis. - Summarize comments on a post. - Python 3.12 or higher

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

You are an expert in Python, FastAPI, and scalable API development.

\A MCP server with playwright tools\ The server implements a simple note storage system with: - Custom note:// URI scheme for accessing individual notes - Each note resource has a name, description and text/plain mimetype The server provides a single prompt: - summarize-notes: Creates summaries of all stored notes - Optional "style" argument to control detail level (brief/detailed) - Generates pro

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients. The Zettelkasten method is a knowledge management system developed by German sociologist Niklas Luhmann, who used it to produce over 70 books and hundreds of articles. It consists

Welcome to the tradingview-mcp project! This application allows you to fetch TradingView chart snapshots quickly and securely using Python. Whether you're tracking market data or visualizing strategies, this tool is designed for you. Download tradingview-mcp Click the link above to download the latest version of the application. - Operating System: Windows, macOS, or Linux - Python Version: Python

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Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv

An MCP server that provides tools for checking latest stable package versions from multiple package registries: - npm (Node.js/JavaScript) - PyPI (Python) - Maven Central (Java) - Go Proxy (Go) - Swift Packages (Swift) - AWS Bedrock (AI Models) - Docker Hub (Container Images) - GitHub Container Registry (Container Images) - GitHub Actions This server helps LLMs ensure they're recommending up-to-da

Graph-based agent framework from LangChain. Build stateful multi-actor applications as directed graphs where nodes are agents or tools and edges encode control flow. The default for anything that needs branching or human-in-the-loop.

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

A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo and its variants). This tool is designed to run efficiently on local machines for Windows/Mac/Linux users. It features specific optimizations for NVIDIA (CUDA), AMD on Linux (ROCm), Intel (XPU), and Apple Silicon (MPS), falling back to CPU if no compatible GPU is detected. Hybrid Interfa

light weight MCP for code that just works A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent. - Instant token saving by 70%. - 1 min setup - Just claude/codex mcp add works! Please help star

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML

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

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

An MCP server that analyzes order book depth and imbalance across major crypto exchanges, empowering AI agents and trading systems with real-time market structure insights. - Order Book Metrics: Calculate bid/ask depth and imbalance for a specified trading pair on a given exchange. - Cross-Exchange Comparison: Compare order book depth and imbalance across multiple exchanges in a unified Markdown t

An MCP server for the Rootly API that integrates seamlessly with MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE. - Python 3.12 or higher - uv package manager - Rootly API token with appropriate permissions (see below) The MCP server requires a Rootly API token. Choose the appropriate token type based on your needs: