Browse the catalog

The DocsScraper MCP Server connects to the DocsScraper web API to provide semantic search capabilities through documentation chunks, using embeddings and AI validation to find relevant results. Built in TypeScript, it interfaces with the `/api/chunks/search` endpoint and automatically falls back to scraper sources when no local results are found, supporting configurable result limits and service filtering. The server is particularly useful for developers who need to quickly search through API documentation, library references, and technical guides across multiple services like Binance, React, or other platforms indexed by the DocsScraper system.

MCP server for Signal via signal-cli that enables sending and receiving messages, managing contacts and groups, and reacting over stdio.

MCP server for Rhodium11 that exposes 19 tools for managing projects, schedules, orders, wallet, and feedback through any MCP-compatible AI agent.

MCP server: encode/decode text in base64, base64url, hex, and percent-encoding.

control mouse on your local computer

Enables local tool calling over Model Context Protocol via stdio, providing deterministic tools such as calc.add, text.word_count, and text.summarize_naive after JSON-RPC handshake and discovery.

Enables real-time weather queries for 12 major Chinese cities and global cities using English names, powered by the wttr.in API with no API key required.

MCP server for AI economics, providing 12 calculators for AI budgets, token costs, query burn, and proving agent work.

An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.

An MCP server that enables coding agents to set up and manage webhook infrastructure, including provisioning endpoints, event logs, replay, and testing.

NOAA Tides and Currents MCP Server provides tools for interacting with NOAA's oceanographic and meteorological data APIs through FastMCP. Developed by Ryan Cardin, it enables access to water level data, tide predictions, currents, meteorological measurements, station information, moon phases, and sun position calculations. The server can be configured to run via stdio or SSE transport protocols and is containerized with Docker for easy deployment. Particularly valuable for maritime applications, weather monitoring, and astronomical calculations that require accurate tidal, current, and celestial data.

MCP server for materials science monitoring, searching ArXiv preprints and OpenAlex articles with sovereign intelligence filtering by country.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

MCP server: normalize, trim, collapse, or expand whitespace in text.

MCP server: hash and verify passwords with bcrypt.

Enables developers to integrate privacy-preserving identity verification from the Self protocol into their apps. Provides integration guides, code generation, blockchain configuration reading, and debugging assistance for age verification, airdrop eligibility, and humanity checks.

Public MCP server providing amateur radio tools and calculations for IARU Region 1 operators, including band plans, frequency checks, antenna calculations, and Austrian callsign lookups.

This MCP server turns any Obsidian vault into an AI-queryable knowledge graph, enabling graph traversal, search, and backlink-aware note manipulation without requiring Obsidian to be running.

Cited Australian tax answers from 34,500+ ATO documents, legislation and public rulings.

A Spring Boot AI-powered MongoDB MCP server that enables AI assistants to interact with MongoDB databases through a set of specialized tools. This implementation provides capabilities for listing databases and collections, executing simple and complex queries, managing indexes, creating collections, and inserting documents. Built with Spring AI and MongoDB Java driver, it exposes MongoDB operations as MCP tools that can be called by AI models. The server is configured to run as a non-web application that connects to a MongoDB instance specified through environment variables, making it ideal for scenarios where AI systems need to access, query, and manipulate data stored in MongoDB databases.