Python AI Agent Skills

[](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

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

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 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 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

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

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.

A powerful Model Context Protocol (MCP) server designed for advanced video and audio editing operations. This server enables MCP clients—such as Claude Desktop, Cursor, and others—to perform comprehensive multimedia editing tasks through a standardized and unified interface. - Basic Editing: Trim, merge, resize, crop, rotate videos - Effects: Speed control, fade in/out, grayscale, mirror - Overlay

An MCP server that standardizes and contextualizes Modbus data, enabling seamless integration of AI agents with industrial IoT systems. - Modbus Tools: - Read/write holding registers (readregister, writeregister). - Read/write coils (readcoils, writecoil). - Read input registers (readinputregisters). - Read multiple holding registers (readmultipleholdingregisters). - Prompt: Analyze Modbus registe

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.

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

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

A comprehensive Model Context Protocol (MCP) server for Zabbix integration using FastMCP and python-zabbix-utils. This server provides complete access to Zabbix API functionality through MCP-compatible tools. - hostget - Retrieve hosts with advanced filtering - hostcreate - Create new hosts with interfaces and templates - hostupdate - Update existing host configurations - hostdelete - Remove hosts

This project provides a Model Context Protocol (MCP) server wrapper around the esp-rainmaker-cli Python library. It allows MCP-compatible clients (like LLMs or applications such as Cursor, Claude Desktop, and Windsurf) to interact with your ESP RainMaker devices using the official CLI. The Model Context Protocol (MCP) is a standardized framework that enables AI systems to interact with external to

English | 中文 A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server implementation based on native JDK tools. Provides AI agents with powerful capabilities to monitor and analyze Java applications without requiring third-party tools like Arthas. - Zero Dependencies: Uses only native JDK tools (jps, jstack, jmap, etc.) - Lightweight: Minimal resource consumption

An MCP server that enables AI agents to control web browsers using browser-use. - uv - Fast Python package manager - Playwright - Browser automation - mcp-proxy - Required for stdio mode Create a .env file: - [x] Browser Automation: Control browsers through AI agents - [x] Dual Transport: Support for both SSE and stdio protocols - [x] VNC Streaming: Watch browser automation in real-time - [x] Asyn

This project provides a FastMCP server for interacting with the Cal.com API. It allows Language Learning Models (LLMs) to use tools to connect with important Cal.com functionalities like managing event types and bookings. - Python 3.8+ - A Cal.com account and API Key (v2) 1. Clone the repository (if applicable) or download the files. 2. Create a virtual environment (recommended): 3. Install depend

An MCP server that provides real-time funding rate data across major crypto exchanges, enabling agents to detect arbitrage opportunities. - Real-Time Funding Rates: Fetches current funding across Binance, OKX, Bybit, Bitget, Gate and CoinEx. - Pivoted Table Output: Displays symbols as rows, exchanges as columns, and includes a Divergence column for max funding rate difference. - Claude Desktop Int