Python AI Agent Skills

A command-line tool for capturing screenshots and managing knowledge in Obris, your personal knowledge layer for AI. Save content to organized topics so you never start another AI chat from zero again. Requires Python 3.10+. Or run directly with uv: For desktop notifications with deep linking to your uploaded content: Generate an API key from your Obris dashboard. Don't have an account? Sign up. T

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 exposes Wireshark/tshark capabilities to AI tools and IDEs. Capture live traffic, analyze .pcap files, apply display filters, follow TCP/UDP streams, and export to JSON — all via Claude Desktop, VS Code Copilot, or any MCP-compatible client. - Python 3.10+ - Wireshark/tshark installed and on PATH Linux: add your user to the wireshark group for non-root capture: Or with uv: ~/Lib

MCP skill for airtable. Provides 8 tools: ping, list_bases, search_bases, list_tables_for_base, get_table_schema, list_records_for_table, create_records_for_table, update_records_for_table

A feedback loop for people building AI skills and MCP servers. You're building a skill, an MCP server, or a custom prompt strategy that's supposed to make an AI coding assistant better at a specific job. But how do you know it actually works? How do you know your latest commit made things better and not worse? Pitlane gives you the answer. Define the tasks your skill should help with, set up a bas

Real-time global intelligence across 30+ domains with 109 MCP tools, a live ops-center dashboard, a CLI, and a Qdrant vector store for enterprise-grade semantic search across accumulated intelligence. All data comes from free, public APIs — no paid subscriptions required. Built for AI agents that need world awareness: market conditions, geopolitical risk, military posture, supply chain disruptions

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

A Model Context Protocol (MCP) server implementation for running k6 load tests. - Simple integration with Model Context Protocol framework - Support for custom test durations and virtual users (VUs) - Easy-to-use API for running k6 load tests - Configurable through environment variables - Real-time test execution output Before you begin, ensure you have the following installed: - Python 3.12 or hi

|

|

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

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

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.

Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".

An MCP server that integrates with the Freqtrade cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated trading operation. For more crypto-related MCP servers, see the Kukapay MCP servers. - Python 3.13+: Ensure Python is installed on your system. - Freqtrade: A running Freqtrade instance with the REST API enabled (see Freqtrade Docs). - Git: For cloning

This project is an MCP (Model Context Protocol) server that provides a set of tools to interact with the AviationStack API. It exposes endpoints for retrieving real-time and future flight data, aircraft and airplane details, and core reference data (airports, airlines, routes, taxes), making it easy to integrate aviation data into your applications. You can also find the Aviationstack MCP server i

MCP server for Pearch.AI: natural-language search over people and companies/leads (B2B). Use it from Cursor, Claude Desktop, VS Code, or any MCP-compatible client. - searchpeople — natural-language search for people (e.g. “software engineers in California with 5+ years Python”); returns candidates with optional insights and profile scoring. - searchcompanyleads — find companies and leads/contacts

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

MCP server for spatial transcriptomics analysis via natural language Using Claude Code / Codex / OpenCode? Just paste this: Manual installation See Installation Guide for detailed setup including virtual environments and all MCP clients. 60+ methods across 15 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH. MIT License · GitHub · Issues

A mcp server that bridges Dune Analytics data to AI agents. - getlatestresult: Fetch the latest results of a Dune query by ID. - runquery: Execute a Dune query by ID and retrieve results. - CSV Output: All results are returned as CSV-formatted strings for easy processing. - Python 3.10+ - A valid Dune Analytics API key (get one from Dune Analytics) To install Dune Analytics for Claude Desktop auto

Vizro-MCP is a Model Context Protocol (MCP) server, which works alongside an LLM to help you create Vizro dashboards and charts. To find out more, consult the Vizro-MCP documentation. Vizro-MCP is best used with Claude Desktop, Cursor or VS Code. However, it can be used with most LLM products that enable configuration of MCP server usage. Our documentation offers separate, detailed steps for Claud

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and

An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va

A comprehensive async Python SDK for TickTick with MCP (Model Context Protocol) server support. Includes full support for Dida365 (滴答清单) as well. Use TickTick programmatically from Python, or let AI assistants manage your tasks. - Why This Library? - Installation - MCP Server Setup & Usage - Step 1: Register Your App - Step 2: Get OAuth2 Access Token - Step 3: Configure Your AI Assistant - CLI Ref