Python AI Agent Skills

A Model Context Protocol (MCP) server that provides AI assistants with access to the Smithsonian Institution's Open Access collections. This server allows AI tools like Claude Desktop to search, explore, and analyze over 3 million collection objects from America's national museums. The npm package includes automatic Python dependency management and works across platforms: The enhanced setup script

Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.

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

이 프로젝트는 GeekNews에서 아티클을 가져오는 Model Context Protocol(MCP) 서버입니다. Python으로 구현되었으며, BeautifulSoup을 사용하여 웹 스크래핑을 수행합니다. 서버 부하를 줄이기 위해 하루에 한 번 자동으로 데이터를 파싱하고 캐시에 저장하는 기능을 제공합니다. - getarticles 도구: GeekNews에서 아티클을 가져오는 기능 - 아티클 유형(top, new, ask, show)과 반환할 아티클 수를 지정할 수 있음 - 각 응답에는 제목, URL, 포인트, 작성자, 시간, 댓글 수, 순위 정보가 포함됨 - 캐시된 데이터를 사용하여 서버 부하 감소 - getweeklynews 도구: GeekNews에서 주간 뉴스를 가져오는 기능 - 특정 주간 뉴스 ID를

"language": "Python",

Type-safe agent framework from the Pydantic team. Structured outputs, dependency injection, and model-agnostic tool calls with Python type hints as the contract. First-class TypedDict validation of model output.

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

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

A FastMCP server that allows querying Loki logs from Grafana. - GRAFANAURL: URL of your Grafana instance - GRAFANAAPIKEY: Grafana API key with appropriate permissions - Query Loki logs through Grafana API - Get Loki labels and label values - Format query results in different formats (text, JSON, markdown) - Support for both stdio and SSE transport protocols - Python 3.10+ 1. Clone this repository

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.

Analyze AWS infrastructure security using Cyntrisec MCP tools. Use when asked about AWS attack paths, security findings, IAM permissions, compliance status, or remediation recommendations. Guides tool selection and workflow patterns for comprehensive security assessments.

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

This repository provides an MCP (Model-Control-Protocol) server that allows you to list and query tables via Trino using Python. - MCP: MCP is a protocol for bridging AI models, data, and tools. This example MCP server provides: - A list of Trino tables as MCP resources - Ability to read table contents through MCP - A tool for executing arbitrary SQL queries against Trino - Trino: A fast, distribu

Transcribe MCP Automate your transcriptions with AI. Transcribe MCP instantly connects your account to assistants like Claude, Windsurf, Cursor, and more so they can automate tasks on your behalf. The Local Server can add local files for transcription and return result to your Assistant in seconds. - ⚡ Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting python p

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 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

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

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

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.

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

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

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.