Python AI Agent Skills

A self-hosted investment decision engine built for modern AI agents. Multi-agent information isolation and cross-challenge protocol, providing an auditable decision trail (Audit Trail). Full Architecture Wiki · 中文版 OpenInvest is a self-hosted investment decision engine built for modern AI agents. It provides a verifiable investment committee, evidence-based reasoning, long-horizon backtest

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 -

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

OpenAI's official Python SDK for agents. Ships handoffs, guardrails, tracing, and a ReAct-style loop built around the Responses API. The reference for anyone starting on OpenAI models.

\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

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

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source

Overview • Quick Start • Supported Data Providers • FinData is an open-source Model Context Protocol(MCP) Server that provides professional financial data access capabilities for LLM. It supports various data providers such as Tushare, Wind, DataYes, etc. This enables AI applications to quickly retrieve financial data. Fully supports both Stdio and SSE transports, offering flexibility for differen

An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment's aggregated social media and news data to track market mood and detect emerging trends. - Sentiment Analysis: Retrieve sentiment balance (positive vs. negative) for specific cryptocurrencies. - Social Volume Tracking: Monitor total social media mentions and detect significant shifts (spikes or drops).

Xian Smart Contract Development - Cursor Rules

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

You are an AI assistant specialized in Python development.

A shared process layer for multi-agent development workflows Persistproc is an MCP server and command line tool which lets agents and humans see and control long-running processes like web servers. The goal is to reduce the amount of copying and pasting you need to do while coding with AI, make it easier for you to use multiple agents, and be tool-agnostic. There is no config file. Processes are m

A Model Context Protocol (MCP) server for Microsoft Bing Search API integration, allowing AI assistants to perform web, news, and image searches. - Web search for general information - News search for recent events and timely information - Image search for visual content - Rate limiting to prevent API abuse - Comprehensive error handling - Python 3.10 or higher - Microsoft Bing Search API key - MC

MCP (Model Context Protocol) server for the gget bioinformatics library. This server implements the Model Context Protocol (MCP) for gget, providing a standardized interface for accessing powerful bioinformatics tools and databases. MCP enables AI assistants and agents to perform complex genomics queries through structured interfaces. The gget bioinformatics toolkit provides efficient querying of

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

Initialize Claude Code framework infrastructure for any project

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

A FastMCP server that allows querying Loki logs from Grafana. - GRAFANAURL: URL of your Grafana instance - GRAFANAAPIKEY: Grafana API key with appropriate permissions - Query Loki logs through Grafana API - Get Loki labels and label values - Format query results in different formats (text, JSON, markdown) - Support for both stdio and SSE transport protocols - Python 3.10+ 1. Clone this repository

A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo and its variants). This tool is designed to run efficiently on local machines for Windows/Mac/Linux users. It features specific optimizations for NVIDIA (CUDA), AMD on Linux (ROCm), Intel (XPU), and Apple Silicon (MPS), falling back to CPU if no compatible GPU is detected. Hybrid Interfa

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