Python AI Agent Skills

Search your past ChatGPT conversations directly from Claude Desktop. Switched from ChatGPT to Claude? Now you can ask Claude things like "What did I discuss about marketing strategy in ChatGPT?" and get real answers — without going back to ChatGPT. Step 1 — Export your ChatGPT data In ChatGPT: Settings → Data Controls → Export Data. You'll get an email with a .zip file. Step 2 — Run the installer

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):

A next-generation framework documentation provider for Claude Code via Model Context Protocol (MCP). Provides query-focused API context by extracting TypeScript definitions directly from npm packages - delivering minimal, accurate information instead of dumping entire documentation pages. mcp-name: dev.augments/mcp Version 4.0 introduces a fundamentally new approach to framework documentation: Doc

Graph-based agent framework from LangChain. Build stateful multi-actor applications as directed graphs where nodes are agents or tools and edges encode control flow. The default for anything that needs branching or human-in-the-loop.

Holistic understanding of requirements & stack

A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction. - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries

MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: - Awesome MCP Servers – Security -

📖 Blog Post: Learn more about this project in the detailed blog post: Telephony MCP Server for Agentic AI and Language Models This directory contains MCP (Model Context Protocol) Server tools for telephony operations, such as making voice calls and sending SMS messages using the Vonage API. These tools are designed to be integrated with Large Language Model (LLM) applications, enabling LLMs to pe

An MCP server that enables cross-chain token transfers via the Stargate protocol. - Chain Discovery: List all supported blockchains with key details. - Token Discovery: Find bridgeable tokens across chains. - Quote Fetching: Get real-time bridge quotes with fees, estimates, and transaction steps. - Automated Bridging: Execute transfers with automatic signing and broadcasting using your private key

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

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

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 -

A MCP server to connect to wolfram alpha API. This is analogous to the !wa bang in duckduckgo search. Query Wolfram Alpha api. You must set the WOLFRAMAPIKEY environment variable. Get an api ket from Wolfram Alpha. This was tested with the full results API, but it might not be required. Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-insp

\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

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

A Model Context Protocol (MCP) server for tracking cryptocurrency whale transactions using the Whale Alert API - Prerequisites - Installation - Running in Development Mode - Integrating with Claude Desktop - Direct Execution - API Key Configuration - Acknowledgements The whale-tracker-mcp server is a Python-based implementation of the Model Context Protocol (MCP) that integrates with the Whale Ale

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092

A Model Context Protocol (MCP) server that provides AI-powered PostgreSQL performance tuning capabilities. This server helps identify slow queries, recommend optimal indexes, analyze execution plans, and leverage HypoPG for hypothetical index testing. - Retrieve slow queries from pgstatstatements with detailed statistics - Analyze query execution plans with EXPLAIN and EXPLAIN ANALYZE - Identify p

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

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

ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: - 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands. - 👀 Giving AI full visibility → subscribe to topics, call services, read sensor data, and monit