Python AI Agent Skills

This project is heavily reliant on our custom Drawscape Factorio python module.

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.

Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".

An MCP server that integrates with the Freqtrade cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated trading operation. For more crypto-related MCP servers, see the Kukapay MCP servers. - Python 3.13+: Ensure Python is installed on your system. - Freqtrade: A running Freqtrade instance with the REST API enabled (see Freqtrade Docs). - Git: For cloning

This project is an MCP (Model Context Protocol) server that provides a set of tools to interact with the AviationStack API. It exposes endpoints for retrieving real-time and future flight data, aircraft and airplane details, and core reference data (airports, airlines, routes, taxes), making it easy to integrate aviation data into your applications. You can also find the Aviationstack MCP server i

MCP server for Pearch.AI: natural-language search over people and companies/leads (B2B). Use it from Cursor, Claude Desktop, VS Code, or any MCP-compatible client. - searchpeople — natural-language search for people (e.g. “software engineers in California with 5+ years Python”); returns candidates with optional insights and profile scoring. - searchcompanyleads — find companies and leads/contacts

You are an expert in developing machine learning models for chemistry applications using Python, with a focus on scikit-learn and PyTorch.

MCP server for spatial transcriptomics analysis via natural language Using Claude Code / Codex / OpenCode? Just paste this: Manual installation See Installation Guide for detailed setup including virtual environments and all MCP clients. 60+ methods across 15 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH. MIT License · GitHub · Issues

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

Vizro-MCP is a Model Context Protocol (MCP) server, which works alongside an LLM to help you create Vizro dashboards and charts. To find out more, consult the Vizro-MCP documentation. Vizro-MCP is best used with Claude Desktop, Cursor or VS Code. However, it can be used with most LLM products that enable configuration of MCP server usage. Our documentation offers separate, detailed steps for Claud

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and

An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va

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

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

-brightgreen) A Model Context Protocol (MCP) server for analyzing technical debt across multiple programming languages. Designed to integrate with GitHub Copilot and other MCP-compatible tools. - Multi-language support: JavaScript, TypeScript, Python, Java, Swift, Kotlin, Objective-C, C++, C, C, Go, Rust, Ruby, PHP - Comprehensive analysis: Detects various types of tech debt including code quality

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A TypeScript framework for building MCP servers capable of handling client sessions. - Simple Tool, Resource, Prompt definition - Authentication - Passing headers through context - Session ID and Request ID tracking - Image content - Audio content - Error handling - HTTP Streaming (with SSE compatibility) - HTTPS Support for secure connections - Custom HTTP routes for REST APIs, webhooks, and admi

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 Python module that serves as an MCP server for interacting with the Aseprite API Demo where Cursor draws a cloud in aseprite using the MCP: Build and run the Docker image: Or use the provided build scripts: - Linux/macOS: chmod +x build-docker.sh && ./build-docker.sh - Windows: .\build-docker.ps1 See DOCKER.md for detailed Docker setup instructions. To have the container install Aseprite via Ste

A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction. - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries

Holistic understanding of requirements & stack

Project Synopsis

Holistic understanding of requirements & stack

Build Slack apps using the Bolt framework across Python, JavaScript, and Java. Covers Block Kit for rich UIs, interactive components, slash commands, event handling, OAuth installation flows, and Workflow Builder integration. Focus on best practices for production-ready Slack apps. Use when: slack bot, slack app, bolt framework, block kit, slash command.