Python AI Agent Skills

This repository provides an MCP (Model-Control-Protocol) server that allows you to list and query tables via Trino using Python. - MCP: MCP is a protocol for bridging AI models, data, and tools. This example MCP server provides: - A list of Trino tables as MCP resources - Ability to read table contents through MCP - A tool for executing arbitrary SQL queries against Trino - Trino: A fast, distribu

Transcribe MCP Automate your transcriptions with AI. Transcribe MCP instantly connects your account to assistants like Claude, Windsurf, Cursor, and more so they can automate tasks on your behalf. The Local Server can add local files for transcription and return result to your Assistant in seconds. - ⚡ Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting python p

Selenium MCP Server A Model Context Protocol (MCP) server that provides web automation capabilities through Selenium WebDriver. This server allows AI assistants to interact with web pages by providing tools for navigation, element interaction, taking screenshots, and more. - 2. Features - 3. Available Tools - 3.1. Navigation and Page Management - 3.2. Element Interaction - 3.3. Element Styling - 3

Let MCP clients like Claude and Cursor control Intruder. For more information and sample use cases, please see our blog post. There are two ways to use the MCP server: - Locally on your machine with Python - In a Docker container All of these methods require you to provide an Intruder API key. To generate a key, see the documentation. Install uv if it isn't already present, and then clone this rep

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.

Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.

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:

tilde is a privacy-first Model Context Protocol (MCP) server that acts as the universal memory and profile layer for AI Agents. Configure once. Use everywhere. Your data, your control. Supports profile management, skills, resume import, and team sync. Every time you switch AI tools, you face the same issues: - 🔄 Repetition: "I'm a Senior SWE", "I prefer Python", "Don't use ORMs" - 🧩 Fragmentatio

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Built by Matious — We build custom AI tools and MCP servers for businesses. Managing Google Ad Manager is tedious. Creating campaigns, uploading creatives, and configuring line items involves countless clicks through a complex UI. This MCP server changes that. Connect it to Claude and manage your entire ad operations through conversation: - "Create a new campaign for Nike ending December 31st" - "

This project provides a FastMCP server for mathematical computations, including numerical and symbolic calculations, as well as plotting. - Python 3.12 or higher (To install Python3.12 follow Python Download) - uv (To install uv follow uv Installation) You can find the mcp.json file in the MCP: Open User Configuration or MCP: Open Workspace Configuration Add the following to your mcp.json: If you'

An MCP server that provides real-time whale alerts on Hyperliquid, flagging positions with a notional value exceeding $1 million. - Tool: getwhalealerts: Fetches recent whale transactions and returns them as a Markdown table using pandas for clean formatting. - Prompt: summarizewhaleactivity: Generates a summary of whale transactions, including metrics like total position value and notable symbols

Analyze AWS infrastructure security using Cyntrisec MCP tools. Use when asked about AWS attack paths, security findings, IAM permissions, compliance status, or remediation recommendations. Guides tool selection and workflow patterns for comprehensive security assessments.

下面是为你的 bilibili-mcp 工具生成的 README.md 示例： 一个用于获取 B 站热榜的 MCP 工具，基于 FastMCP 和 B 站公开接口。你可以通过注册到 Cursor 或其他 MCP 客户端，实时调用热门视频数据。 确保使用 Python ≥ 3.12，并安装以下依赖项： 你的主代码文件可以是 bilibilimcp.py，项目结构如下： 使用 uv 运行工具： FastMCP 会自动暴露一个名为 getpopular 的工具： 获取 B 站热榜视频信息，返回最多 topk 个条目（最大 10 条）。 - 使用 httpx 实现异步请求 - 通过 FastMCP 注册为标准 MCP 工具 - 支持通过 stdio 与 MCP 客户端通信（例如 Cursor） - 仅用于学习与研究，B 站接口为公开接口，使用时请避免过于频繁访问。 - 默认 User-Agent

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

Master Python 3.12+ with modern features, async programming,

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

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

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients. The Zettelkasten method is a knowledge management system developed by German sociologist Niklas Luhmann, who used it to produce over 70 books and hundreds of articles. It consists

A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c

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