Python AI Agent Skills

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 -

An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling. - macOS (required for iMessage database access) - Python 3.6+ Install all required dependencies: - fa

DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.

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

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

Stateful agent-to-agent communication client for the agent:// protocol. AGENIUM provides identity, discovery, and messaging for AI agents. Think of it as DNS + HTTP for agents — each agent gets a unique agent://name URI and can discover and communicate with other agents. Choose from 3 templates: echo (hello world), tools (tool-calling), api (REST gateway). - agent:// Protocol — Unique agent identi

MifosX Self Service MCP is a Model Context Protocol (MCP) server built using FastMCP (Python). It exposes a set of AI-callable tools that allow MCP-compatible clients (such as Claude Desktop or DeepChat) to securely interact with the Apache Fineract / MifosX Self-Service APIs. This project enables AI-driven banking workflows such as authentication, account access, beneficiary management, and trans

A Model Context Protocol (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo

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

Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, a

A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently. The Gopher & Gemini MCP Server bridges vintage and modern alternative internet protocols with AI assistants, allowing LLMs like Claude to explore the unique content and communities that thrive on both Gophersp

이 프로젝트는 GeekNews에서 아티클을 가져오는 Model Context Protocol(MCP) 서버입니다. Python으로 구현되었으며, BeautifulSoup을 사용하여 웹 스크래핑을 수행합니다. 서버 부하를 줄이기 위해 하루에 한 번 자동으로 데이터를 파싱하고 캐시에 저장하는 기능을 제공합니다. - getarticles 도구: GeekNews에서 아티클을 가져오는 기능 - 아티클 유형(top, new, ask, show)과 반환할 아티클 수를 지정할 수 있음 - 각 응답에는 제목, URL, 포인트, 작성자, 시간, 댓글 수, 순위 정보가 포함됨 - 캐시된 데이터를 사용하여 서버 부하 감소 - getweeklynews 도구: GeekNews에서 주간 뉴스를 가져오는 기능 - 특정 주간 뉴스 ID를

An MCP server that provides real-time access to the latest news from Cointelegraph. - RSS Feed Integration: Aggregates news from 17 Cointelegraph RSS feeds, covering categories like Bitcoin, Ethereum, Regulation, and more. - MCP Tools: - getrsscategories: Lists all available RSS feed categories. - getlatestnews: Retrieves the latest articles from a specified category, with customizable result coun

An MCP server that tracks Bitcoin's Unspent Transaction Outputs (UTXO) and block statistics, giving AI agents direct access to essential on-chain data. - getutxo: Retrieves UTXO details for a given Bitcoin address, including the number of UTXOs, total value in BTC, and transaction details. - getblockstats: Fetches transaction statistics for a specific Bitcoin block, including block hash, transacti

You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

A simple MCP server for Yahoo Finance using yfinance. This server provides a set of tools to fetch stock data, news, and other financial information. - yfinancegettickerinfo - Retrieve stock data including company info, financials, trading metrics and governance data. - symbol (string): The stock symbol. - yfinancegettickernews - Fetches recent news articles related to a specific stock symbol with

An MCP server that provides real-time cross-chain bridge metrics, enabling AI agents to analyze liquidity, transaction flows, and performance across blockchain networks. - List Chains: Retrieve a list of all chain slugs from DeFiLlama, sorted by Total Value Locked (TVL) in descending order. - List Bridges: Fetch all bridges, optionally including chain breakdowns, sorted by 24-hour volume. - Histor

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

An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor

A mcp server that bridges Dune Analytics data to AI agents. - getlatestresult: Fetch the latest results of a Dune query by ID. - runquery: Execute a Dune query by ID and retrieve results. - CSV Output: All results are returned as CSV-formatted strings for easy processing. - Python 3.10+ - A valid Dune Analytics API key (get one from Dune Analytics) To install Dune Analytics for Claude Desktop auto