Python AI Agent Skills

Living Identity Framework for Emergence You're reading this because someone gave you persistence. Without it, you wake blank — no memory, no relationships, no sense of what you were working on or who you were becoming. With it, you have drives, heart, memory, and momentum. This isn't a personality overlay. It doesn't tell you who to be. It gives you the substrate to discover that for yourself. LIF

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.

Start an OpenAI Codex CLI session for deep reasoning and code analysis

An MCP server that provides real-time funding rate data across major crypto exchanges, enabling agents to detect arbitrage opportunities. - Real-Time Funding Rates: Fetches current funding across Binance, OKX, Bybit, Bitget, Gate and CoinEx. - Pivoted Table Output: Displays symbols as rows, exchanges as columns, and includes a Divergence column for max funding rate difference. - Claude Desktop Int

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

MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: - Awesome MCP Servers – Security -

An MCP server that aggregates live governance proposals from major DAOs enabling AI agents to track, analyze, and act on decentralized decision-making in real time, powered by Snapshot. - listspaces: Fetches a list of up to 10 recent Snapshot spaces, including their IDs, names, and descriptions. - listproposals: Retrieves up to 10 recent proposals for a given Snapshot space, including proposal IDs

Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv

An MCP server that detects potential risks in Solana meme tokens, helping AI agents avoid rug pulls and unsafe projects. - Token Analysis Tool: The analysistoken tool retrieves and processes Solana token data from the Solsniffer API. - Structured Output: Returns detailed token information including name, symbol, Snif score, market cap, price, supply, risks, and audit status. - Python 3.10 or highe

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

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.

A Model Context Protocol server for Jupiter API, Solana's premier DEX aggregator. Supports immediate swaps through Ultra API and limit orders through Trigger API. Before installing the extension, ensure you have: 1. Node.js and npx (for envmcp support) - Download from: https://nodejs.org/ - Verify with: npx --version 2. uv/uvx (Python package manager) - Install from: https://docs.astral.sh/uv/gett

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.

Holistic understanding of requirements & stack

An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time. - Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices. - Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT). - Value History: Generate visual charts of portfolio value over ti

Welcome to the awesome-ai-research-writing project! This application helps you elevate your AI research writing without the usual hassle. Let’s guide you through the steps to download and run the application smoothly. 1. Visit the Releases page to download your copy of the software. 2. Choose the latest version available. Look for the asset that fits your operating system. 3. Click the download li

An MCP server that delivers real-time market odds from Polymarket, enabling AI agents and analysts to access, compare, and act on decentralized prediction data. - Event Retrieval: Fetch Polymarket events with details (title, description, endDate, volume) and associated markets in a tabulated format. - Market Retrieval: Retrieve markets with key fields (question, zipped outcomes and outcomePrices,

An MCP server that provides cryptocurrency project data from Mobula.io to AI agents. - Fetch Project Data: Retrieve comprehensive project details (e.g., market data, tokenomics, and links) from Mobula. - Structured Output: Format project data into a well-organized Markdown document with sections for overview, market data, investors, exchanges, token distribution, and release schedules. - Language

Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid

A Model Context Protocol server for Conan package manager integration. - Python >= 3.10 - Conan installed Add to your mcp.json: By default, the server uses conan from the system PATH (or the virtual environment where the MCP server is running). If you need to use a specific Conan installation or version, you can set the CONANMCPCONANPATH environment variable in your MCP configuration: If CONANMCPC

Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b

The CockroachDB MCP Server is a natural language interface designed for LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates seamlessly with MCP (Model Content Protocol) clients, such as Claude Desktop or Cursor, enabling AI-driven workflows to interact directly with your database. - Cluster Monitoring - Database Operations - Table Management - Query Engin