Python AI Agent Skills

A high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents. Works perfectly with: Claude Desktop Claude Code (CLI) Cline / Roo Code Any other MCP-compliant client. Unlike other memory solutions that require a complex stack (Python + Vector DB + Graph DB), this project is a single, self-contained executable. ✅ No Extern

A Model Context Protocol server that creates travel agent-level flight plans using the fast-flights API. - Search for one-way and round-trip flights - Create comprehensive travel plans based on trip parameters - Get airport code information - Use templates for common travel queries 1. Make sure you have Python 3.10 or higher installed 2. Install the required packages: You can run the server direct

Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c

mcp-name: io.github.king-of-the-grackles/reddit-research-mcp AI-Powered Reddit Intelligence for Market Research & Competitive Analysis Version: 1.0.0 Turn Reddit's chaos into actionable insights. Dialog is your all-in-one Reddit intelligence platform for competitive analysis, market research, and customer discovery across 20,000+ active subreddits. This is the official MCP server powering Dialog -

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

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source

The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.). 🤝 Contribute • 📝 Report Bug • 📝 Blog Post 1 dicom-mcp provides tools to: 🔍 Query Metadata: Search for patients, studies, series, and instances using various criteria. 📄 Read DICOM Reports (PDF): Retrieve DICOM instances containing encapsulated PDFs (e.g., clinical reports) and extract

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

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 Model Context Protocol (MCP) server for Microsoft Bing Search API integration, allowing AI assistants to perform web, news, and image searches. - Web search for general information - News search for recent events and timely information - Image search for visual content - Rate limiting to prevent API abuse - Comprehensive error handling - Python 3.10 or higher - Microsoft Bing Search API key - MC

Here are some best practices and rules you must follow:

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

mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories. The server exposes the following tools to your LLM: All responses are JSON strings returned directly from the Mem0 API. There are three ways to use the Mem0 MCP Server: 1. Python Pack

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):

A Python bridge for interacting with the macOS Messages app using MCP (Multiple Context Protocol). Click the button above to automatically add Mac Messages MCP to Cursor See the Integration section below for setup instructions. - Universal Message Sending: Automatically sends via iMessage or SMS/RCS based on recipient availability - Smart Fallback: Seamless fallback to SMS when iMessage is unavail

A Model Context Protocol server for Jupiter API, Solana's premier DEX aggregator. Supports immediate swaps through Ultra API and limit orders through Trigger API. Before installing the extension, ensure you have: 1. Node.js and npx (for envmcp support) - Download from: https://nodejs.org/ - Verify with: npx --version 2. uv/uvx (Python package manager) - Install from: https://docs.astral.sh/uv/gett

AI System Prompt for Master Python Programmer

\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

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.

A Model Context Protocol (MCP) server for GreptimeDB — an open-source, cloud-native, unified observability database. Enables AI assistants to query and analyze GreptimeDB using SQL, TQL (PromQL-compatible), and RANGE queries, with built-in security features like read-only enforcement and data masking. For Claude Desktop, add this to your config (~/Library/Application Support/Claude/claudedesktopco

An MCP server that delivers real-time market odds from Polymarket, enabling AI agents and analysts to access, compare, and act on decentralized prediction data. - Event Retrieval: Fetch Polymarket events with details (title, description, endDate, volume) and associated markets in a tabulated format. - Market Retrieval: Retrieve markets with key fields (question, zipped outcomes and outcomePrices,