Python AI Agent Skills

Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c

An MCP (Model Context Protocol) server that connects your Mendeley reference library to LLM applications like Claude Desktop, Cursor, and other MCP-compatible clients. - Search your library - Find papers by title, author, abstract, or notes - Browse folders - Navigate your collection structure - Get full metadata - Retrieve complete document details including abstracts - Search global catalog - Ac

An MCP server that provides AI agents with real-time access to DEX liquidity pool data, enabling smarter trading, analytics, and automated strategies. - Query Supported Networks: Retrieve a list of supported blockchain networks on GeckoTerminal. - Query Supported DEXes: Fetch DEXes available on a specific network. - Fetch New Pools: List the latest pools across all networks or a specific network,

An MCP server that tracks the historical changes of Twitter usernames—frequent screen name changes in crypto projects can be a red flag for potential scam risks. - Username Change History: Query the historical usernames of a Twitter user by their current screen name (e.g., @OSINTUkraine or @Mormonger). - Prompt Support: Includes a prompt template to guide users in formulating queries. - Lightweigh

一个基于BaoStock的股票数据服务器，提供了多个接口用于获取股票市场数据。 - 提供股票基本信息查询 - 支持K线历史数据获取 - 季度财务指标数据（盈利能力、营运能力、成长能力） - Python 3.10+ 以下是各个接口的测试用例示例： - 微信: iamxxn886

mcp-name: io.github.aikts/yandex-tracker-mcp A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance. Documentation in Russian is available here / Документац

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

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

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 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

Chroma - the open-source embedding database . The fastest way to build Python or JavaScript LLM apps with memory! The Model Context Protocol (MCP) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require. This server provides data retrieval capabili

A Model Context Protocol server that creates travel agent-level flight plans using the fast-flights API. - Search for one-way and round-trip flights - Create comprehensive travel plans based on trip parameters - Get airport code information - Use templates for common travel queries 1. Make sure you have Python 3.10 or higher installed 2. Install the required packages: You can run the server direct

A powerful Model Context Protocol (MCP) server that gives AI real-time vision capabilities and enhanced UI intelligence. Transform your AI assistant into a visual powerhouse that can see, analyze, and interact with your screen content. ScreenMonitorMCP v2 is a revolutionary MCP server that bridges the gap between AI and visual computing. It enables AI assistants to capture screenshots, analyze scr

Context compaction for AI code assistants – Give your AI structured, token-efficient access to 17+ languages including Elixir, Python, TypeScript, JavaScript, Rust, and more. Quick Install · Security · Developers · AI Assistants · Docs The core problem: AI code assistants waste context on blind searches. Grep dumps entire files when you only need a function signature, leaving less room for actual

An MCP server serving as a structured knowledge base of crypto whitepapers for AI agents to access, analyze, and learn from. - Search Whitepapers: Use DuckDuckGo to find whitepaper PDFs for cryptocurrency projects. - Load Whitepapers: Download and index whitepaper PDFs into the knowledge base. - Query Knowledge Base: Query whitepaper content with optional project filtering. - List Projects: View a

Performance profiling principles. Measurement, analysis, and optimization techniques.

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -

"language": "Python",

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

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

|

NyxDocs is a specialized Model Context Protocol (MCP) server that provides comprehensive documentation management for cryptocurrency projects. Built with Python and inspired by Context7's architecture, it offers real-time access to crypto project documentation, blockchain information, and development resources. - Multi-Blockchain Support: Ethereum, BSC, Polygon, Solana, and more - Real-time Docume

|

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.