GitHub AI Agent Skills

Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.

Give AI assistants the power to query your Prometheus metrics. A [Model Context Protocol][mcp] (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data. [mcp]: https://modelcontextprotocol.io - Prometheus server accessible from your environment - MCP-compatible client

Browse, read, and interact with web pages using PageMap MCP tools. Covers navigation, element interaction, form filling, and page state management.

Lightweight logging & observability for agent work across clients (Codex, Claude, Cursor, ChatGPT, OpenClaw, and others). - One MCP tool (logwork) that aggregates work done across different agents for single or multiple users. - Define your own logging structure with custom schemas (or use built-in profiles) once, and the MCP schema will guide clients to log with correct payloads. - This lets team

A CLI inspector for the Model Context Protocol - Run MCP servers from various sources - List Tools, Resources, Prompts - Call Tools, Read Resources, Read Prompts - OAuth support for SSE and Streamable HTTP servers This will use the config file of Claude Desktop. The config file has the same format as the Claude Desktop config file. Run a specific tool, resource, or prompt without interactive promp

MCP (Model Context Protocol) server for Biothings.io This server implements the Model Context Protocol (MCP) for BioThings, providing a standardized interface for accessing and manipulating biomedical data. MCP enables AI assistants and agents to access specialized biomedical knowledge through structured interfaces to authoritative data sources. Supported BioThings data sources include: - mygene.i

Google Calendar MCP Server is an MCP (Model Context Protocol) server implementation that enables integration between Google Calendar and Claude Desktop. This project enables Claude to interact with the user's Google Calendar, providing the ability to display, create, update, and delete calendar events through natural language interaction. - Google Calendar integration: Provides a bridge between Cl

P-Link MCP Server is a server compliant with the MCP (Model Context Protocol), integrating fetch-402 client from coinbase, and HTTP 402 protocol on server side, allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a payment system on Solana. It provides a simple interface to: - Pay 402 links - Create 402 payment links (supporting agent payment on Solana and human payment by car

Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol. Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations): This server implements the MCP Prompts specification for prompt discovery and retrieval. - prompts/list: List all available prompts - Optio

A lightweight, configuration-driven MCP server that exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your agents. mcp-graphql-forge lets you turn any GraphQL endpoint into an MCP server whose tools are defined in YAML files that specify the GraphQL queries and their parameters. This allows you to create a modular, secure, and minimal server that can be e

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer - Key Features - MCP Overview - Getting Started - Best Practices - Contributing - Resources - ⚡ Real-time control: Instantly view notebook changes as they happen. - 🔁 Smart execution: Automatically adjusts when a cell run fails thanks to cell output feedback. - 🧠 Context-aware: Understands

An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama. - Data Fetching Tool: The getyieldpools tool retrieves DeFi yield pool data from the DefiLlama, allowing filtering by chain (e.g., Ethereum, Solana) or project (e.g., Lido, Aave). - Analysis Prompt: The analyzeyields prompt generates tailored instructions for AI agents to analyze yield pool data, focusing on key

This project uses the Model Context Protocol (MCP) to let LLMs directly understand and generate Max patches. Video link. Acknowledgement: the patch being explained is downloaded from here. Text comments in the original file are deleted. Check out the full video where you can listen to the synthesised sounds. The LLM agent has access to the official documentation of each object, as well as objects

Expert deployment engineer specializing in modern CI/CD pipelines,

MCP (Model Context Protocol) server for RAGStack knowledge bases. Enables AI assistants to search, chat, upload documents/media, and scrape your knowledge base. Get your GraphQL endpoint and API key from the RAGStack dashboard: Settings → API Key Edit ~/Library/Application Support/Claude/claudedesktopconfig.json (Mac) or %APPDATA%\Claude\claudedesktopconfig.json (Windows): Edit ~/.aws/amazonq/mcp.

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

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

A Model Context Protocol (MCP) server that provides AI assistants with access to Reddit data. Built on top of redd — no API keys required. 1. Features 2. Quick Start 3. Available Tools 4. Configuration 5. Architecture 6. Contributing - Search — Search all of Reddit or within a specific subreddit - Subreddit Posts — Browse hot, top, new, or rising posts from any subreddit - Post Details —

Windows 11 system management

A Model Context Protocol (MCP) server for intelligent handling of large files with smart chunking, navigation, and streaming capabilities. - Smart Chunking - Automatically determines optimal chunk size based on file type - Intelligent Navigation - Jump to specific lines with surrounding context - Powerful Search - Regex support with context lines before/after matches - File Analysis - Comprehensiv

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi

Analyze Rails apps and provide upgrade assessments

Platform APIs for model management, pricing, and usage tracking