Python AI Agent Skills

A unified personal data hub built on MCP (Model Context Protocol) that allows AI assistants to access your digital life from multiple platforms, providing truly personalized and contextual interactions. 1. Clone the repository 2. Install dependencies > 📖 See detailed installation instructions: Installation and Setup 3. Configure your API keys 4. Add to Cursor settings > 📖 See detailed MCP config

GenAI Agent Framework, the Pydantic way Documentation: ai.pydantic.dev FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic Validation and modern Python features like type hints. Yet despite virtually every Python agent framework and LLM library using Pydantic Validation, when we began to use LLMs in Pydantic Logfire, we couldn'

The AgentMail Toolkit integrates popular agent frameworks and protocols including OpenAI Agents SDK, Vercel AI SDK, and Model Context Protocol (MCP) with the AgentMail API. See the Python and Node packages for language specific setup and usage.

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

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 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

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

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

An MCP (Model Context Protocol) server that can supercharge your VSCode + LaTex Workshop writing workflow Currently houses MCP tools, and new tools can be easily added in either Python and TypeScript. The Python process is the MCP server; selected tools are delegated to a small Node/TypeScript module via a bridge. - Read your cited papers, verify / add onto your claims - Access your python scripts

[](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) A Telegram bot that gives you remote access to Claude Code. Chat naturally with Claude about your projects from anywhere -- no terminal commands needed. What is this? This bot connects Telegram to Claude Code, providing a conversational AI interface for your codebase: - Chat naturally -- ask Claude to analyze, edit, or e

Build and evaluate agents with MCP, ACP, and A2A protocol support. Emphasis on the protocol layer so agents can talk to each other and to tool servers without bespoke plumbing.

Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances. uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using u

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

501 algorithmic trading skills · 16 engineering domains · 5 regulatory & exchange frameworks · 501 working reference implementations backed by 20,291 unit tests · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI and any tool that reads SKILL.md · Apache 2.0 Get Started · What's Inside · How It's Verified · Frameworks & Standards · Platforms · Contribu

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:

mcp-name: io.github.wmarceau/rideshare-comparison Compare Uber and Lyft prices for any route using Claude Desktop. Add to your claudedesktopconfig.json: Compare Uber and Lyft prices for a specific route. Example prompt: "Compare Uber and Lyft prices from SFO airport to downtown San Francisco" Get a list of cities with rideshare pricing data. Example prompt: "Which cities are supported for rideshar

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

audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool stability, Bedrock checkpoints, OpenRouter routing drift, provider migration risk, and vLLM/SGLang KV reuse. LLM cache reuse usually fails silently. A timestamp in the system prompt, shuffled tool schemas

An enterprise-grade MCP (Model Context Protocol) server for Jenkins CI/CD integration with advanced features including multi-tier caching, pipeline monitoring, artifact management, and batch operations. - Job Management: Trigger, list, search, and monitor Jenkins jobs with folder support - Build Status: Real-time build status tracking and console log streaming - Pipeline Support: Stage-by-stage pi

A Model Context Protocol (MCP) server providing geospatial tools for AI agents. Enables Claude, GPT, and other LLMs to perform geocoding, routing, spatial analysis, and file operations. - Geocoding: Convert addresses to coordinates and vice versa (via Nominatim/OSM or Pelias) - Batch Geocoding: Geocode multiple addresses in a single request (up to 10) - Elevation Data: Get altitude for points and

A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs. - python 3.10+ - Cline、Roo Code etc - To get a JSON with all the vendors - To get a JSON with all the products associated to a vendor - To get a JSON with all the vulnerabilities per vendor and a spec