Browse the catalog

Provides an async Python server for interacting with the PubTator3 API, exposing multiple biomedical text-mining tools compatible with the MCP agent protocol.

A minimal MCP server providing synthetic embedded components and NTC fault codes, designed for hands-on workshop exercises with GitHub Copilot Chat Agent mode.

A Model Context Protocol (MCP) server for container runtimes (Podman and Docker)

Provides persistent memory and knowledge graph capabilities for AI assistants using local SQLite storage. Enables creating, searching, and managing entities, relationships, and observations with vector search support across conversations.

MCP server for the Envato Market API that provides AI agents with purchase verification, item lookup, comment search, sales data, and account info.

Access Federal Election Commission campaign finance data through MCP tools. Enables querying OpenFEC data using natural language via ask_pipeworx or direct tool calls.

Exa AI search + Research API.

MCP server for Quackr, enabling virtual phone number management including balance checking, pricing, inventory, purchasing numbers, and reading SMS via Claude or any MCP-compatible client.

Human-in-the-loop for AI coding agents — ask questions, get approvals via Slack.

Provides home renovation guidance including building info, recent deals, permit procedures, checklists, and contractor verification based on address, powered by Korean public data.

A Docker-ready MCP remote server that connects MCP clients like OpenCode to the Mobbin REST API using API keys, enabling access to Mobbin app design patterns and data without OAuth.

MCP server that wraps three NASA public APIs (Astronomy Picture of the Day, Mars rover photos, and near-Earth objects) as tools for AI assistants.

Enables AI coding assistants to control and inspect a live Chrome browser through DevTools for automated testing, performance analysis, debugging, and web scraping. Provides reliable browser automation using Puppeteer with comprehensive DevTools access.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

Query Apache Spark and Databricks clusters through DataFrame and SQL tools. The server includes preflight size checks to prevent unintended large data operations and enforces read-only SQL by default, supporting both OSS Spark Connect and Databricks Connect backends.

Hosted Playwright API for AI agents. Returns a11y trees instead of screenshots.

Hyperbrowser MCP — wraps the Hyperbrowser AI-agent browsing API

MCP server and API examples for NannyKeeper — the household employer tax API. Calculate nanny taxes for all 50 US states.

🚀 MCP Server for publicly available real-time Indian Mutual Funds data

DBMCP is an MCP server that enables AI assistants to execute SQL queries on MSSQL databases and receive the results. Built with Python using the FastMCP framework and pymssql library, it exposes a single tool for executing queries against specified databases through a Server-Sent Events (SSE) interface. The implementation includes Docker containerization for easy deployment, environment variable configuration for database connections, and robust error handling. This server is particularly valuable for workflows requiring direct database access within AI assistant conversations, allowing data analysis and manipulation without requiring separate database tools.