Python AI Agent Skills
AI agent skills for Python development. Django, FastAPI, pytest, data science workflows, and more for your AI coding assistant.
355 listings
Azure Appconfiguration Py
Web3 Jobs MCP Server
An MCP server that provides AI agents with real-time access to curated Web3 jobs from web3.career, enabling intelligent job discovery and career insights. - Job Query Tool: Filter Web3 jobs by: - Remote status (remote=True for remote-only jobs) - Country (e.g., "United States", case-insensitive) - Job tag (e.g., "react", "blockchain", case-insensitive) - Limit (1–100 jobs, default 50) - Markdown O
Wallet Inspector MCP
An MCP server that empowers AI agents to inspect any wallet’s balance and onchain activity across major EVM chains and Solana chain. - Multi-Chain Support: Queries Solana, Ethereum, Polygon, Binance Smart Chain (BSC), Base, Arbitrum and more. - Flexible Output: Balances in ASCII tables, activities and transactions in structured text. - Python: Version 3.10 or higher. - Dune SIM API Key: Obtain fro
OpenAI WebSearch MCP Server 🔍
An advanced MCP server that provides intelligent web search capabilities using OpenAI's reasoning models. Perfect for AI assistants that need up-to-date information with smart reasoning capabilities. - 🧠 Reasoning Model Support: Full compatibility with OpenAI's latest reasoning models (gpt-5, gpt-5-mini, gpt-5-nano, o3, o4-mini) - ⚡ Smart Effort Control: Intelligent reasoningeffort defaults based
Python Packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
Unichat MCP Server in Python
Also available in TypeScript Send requests to OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, Inception using MCP protocol via tool or predefined prompts. Vendor API key required The server implements one tool: - unichat: Send a request to unichat - Takes "messages" as required string arguments - Returns a response - codereview - Review code for best practices, potential issues, a
Git Context MCP
A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They
Temporal Python Testing
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.
Memory MCP Server
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
Flight Planner MCP Server
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
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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
Dialog MCP Server
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 -
Crypto RSS MCP
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
ADLS2 MCP Server 🚀
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
Azure Storage Blob Py
Python 312 FastAPI Best Practices
Here are some best practices and rules you must follow:
Z-Image Studio
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
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
mcp-installer - A MCP Server to install MCP Servers
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):
Mac Messages MCP
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
PyQt6 EEG Processing
AI System Prompt for Master Python Programmer
playwright-server MCP server
\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
Azure Functions
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.
Polymarket Predictions MCP
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,