Python AI Agent Skills

GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available

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.

A Model Context Protocol (MCP) server that provides AI-powered PostgreSQL performance tuning capabilities. This server helps identify slow queries, recommend optimal indexes, analyze execution plans, and leverage HypoPG for hypothetical index testing. - Retrieve slow queries from pgstatstatements with detailed statistics - Analyze query execution plans with EXPLAIN and EXPLAIN ANALYZE - Identify p

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.

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

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 high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents. Works perfectly with: Claude Desktop Claude Code (CLI) Cline / Roo Code Any other MCP-compliant client. Unlike other memory solutions that require a complex stack (Python + Vector DB + Graph DB), this project is a single, self-contained executable. ✅ No Extern

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.

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

An MCP server that delivers blockchain news and in-depth articles from BlockBeats for AI agents. Try Kukapay News MCP — no API key required, fully AI-annotated. - Fast News Retrieval: Fetch the latest blockchain fast news articles using the getlatestnews tool. - In-Depth Articles: Access detailed blockchain articles with the getlatestarticles tool. - Multi-Language Support: Supports English (en),

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

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

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

Ultra-lightweight pure-Python alternative to Claude Code from HKU Data Intelligence Lab. ~98% of Claude Code's core tool capabilities in only 11,733 lines of code. Fully compatible with Anthropic Skills and the Claude Code plugin ecosystem. Supports any OpenAI-compatible model.

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

Zaturn: Your Co-Pilot For Data Analytics & Business Insights Zaturn provides tools that enable AI models to run SQL, so you don't have to. It can be used as an MCP or as a web interface similar to Jupyter Notebook. Zaturn can currently connect to the following data sources: - SQL Databases: PostgreSQL, SQLite, DuckDB, MySQL, ClickHouse, SQL Server, BigQuery - Files: CSV, Parquet Request data sourc

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

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

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

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:

An MCP server that tracks Ethereum’s validator activation and exit queues in real time, enabling AI agents to monitor staking dynamics and network participation trends. - getactivationqueue: Retrieves statistics about the Ethereum validator activation queue, including queue length, total active validators, entering validators' balance, and estimated wait time. - getexitqueue: Retrieves statistics