Python AI Agent Skills

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

An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i

A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence

1. **Project Overview**:

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

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储、智能多媒体，直播服务等。 - 获取 Bucket 列表 - 获取 Bucket 中的文件列表 - 上传本地文件，以及给出文件内容进行上传 - 关于访问七牛云存储详细情况请参考 基于 MCP 使用大模型访问七牛云存储。 - 创建直播空间bucket - 获取推拉流直播地址 - Python 3.12 或更高版本 如果还没有安装 uv，可以使用以下命令安装： 具体安装方式参考 uv 安装 1. 在 vscode 下载 Cline 插件（下载后 Cline 插件后在侧边栏会增加 Cline 的图标） 3. 配置 qiniu MCP 1. 点击 Cline 图标进入 Cline 插件，选择 MCP Server 模块

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML

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

Openstack mcp server is a Model Context Protocol (MCP) server that provides an interface for AI assistants to interact with OpenStack services. - Table of Contents - Quick Start with Claude Desktop - Requirements - Using python - Using uvx - Contributing - MCP Protocol Support: Implements the Model Context Protocol for AI assistants. - Compute Tools: Manage OpenStack compute resources (servers, fl

A comprehensive async Python SDK for TickTick with MCP (Model Context Protocol) server support. Includes full support for Dida365 (滴答清单) as well. Use TickTick programmatically from Python, or let AI assistants manage your tasks. - Why This Library? - Installation - MCP Server Setup & Usage - Step 1: Register Your App - Step 2: Get OAuth2 Access Token - Step 3: Configure Your AI Assistant - CLI Ref

Python framework for building agents with memory, knowledge, and tools. Ships an agent playground UI and API server. Marketed as "5,000× faster than LangGraph" for hot-path agent instantiation.

A Python implementation of the Model Context Protocol (MCP) for ROS 2. This server enables AI tooling to connect with ROS 2 nodes, topics, and services using the MCP standard over stdio. Designed to be the easiest ROS 2 MCP server to configure. - List available topics - List available services - Lists available actions with their types and request fields - Call services - Subscribe to topics to co

Query OpenAI models directly from Claude using MCP protocol. Add to claudedesktopconfig.json: MIT License

An MCP server that enables AI agents to interact with PumpSwap for real-time token swaps and automated on-chain trading. - Buy Tokens: Purchase tokens using SOL with customizable slippage and priority fees. - Sell Tokens: Sell tokens for SOL with configurable parameters. - Token Price Query: Retrieve current token prices in SOL. - Pool Data Retrieval: Fetch and display detailed pool information fo

MCP skill for airtable. Provides 8 tools: ping, list_bases, search_bases, list_tables_for_base, get_table_schema, list_records_for_table, create_records_for_table, update_records_for_table

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

Role-playing multi-agent framework in Python. Define agents with roles, goals, and tools; assemble them into crews that collaborate on tasks. Widely adopted as the default "let me try multi-agent" starting point.

MCP server that gives LLMs access to real-time Brazilian agricultural data — prices, crop estimates, climate, deforestation and more from 10 public sources. Add to claudedesktopconfig.json: Settings > MCP Servers > Add: Add to claudedesktopconfig.json: 10 tools available out of the box: agrobr-mcp is a thin wrapper. All data logic lives in the agrobr library. Servidor MCP que dá acesso a dados agr

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.