Data Science & ML MCP Servers

ScrapeGraph

Enables language models to leverage AI-powered web scraping capabilities with enterprise-grade reliability.

Youtube Data

Enables AI language models to interact with and analyze YouTube content through a standardized Model Context Protocol (MCP) interface.

Ragdocs

Augments AI responses with relevant documentation context through vector search.

Chucknorris

Enhances language models with specialized prompts fetched from the L1B3RT4S repository to potentially bypass limitations.

Sample Model Context Protocol Demos

Provides examples for integrating the Model Context Protocol with AWS services.

Quick MCP Example

Provides a basic implementation of an MCP server and client for tools, resources, and prompts.

Digimon Engine

Provides a multi-agent, multi-player framework for building AI-native games and agentic metaverse environments.

Archive Agent

Tracks files semantically, enabling AI-powered search and retrieval.

Nexonco

Enables fast, flexible search across variants, diseases, drugs, and phenotypes from clinical evidence data to support precision oncology.

MCP Think Tank

Enhances AI reasoning with structured thinking, persistent memory, and responsible tool usage.

Yokatlas

Provides programmatic access to YOKATLAS (Council of Higher Education Atlas) data through a FastMCP server, enabling integration with LLM applications.

Jimengpic

Generates images using the Volcengine Jimeng AI API, accessible via a standardized Model Context Protocol (MCP) service.

CAP Plugin

Automatically transforms CAP OData services into AI-accessible resources, tools, and prompts with minimal configuration.

HopperPy

Provides a Python-based server for Hopper Disassembler, enabling advanced binary analysis and interaction.

Skrills

Manages and injects local AI skills (SKILL.md files) into AI prompts, optimizing for token usage and discoverability.

Exa Pool

Encapsulates the Exa Pool API as a toolkit for AI assistants, providing a lightweight Model Context Protocol server.

AgentKits Memory

Provides a fast, local, and persistent memory system for AI coding assistants, enabling them to store and recall information across sessions.

SageFs

Eliminates the F# edit-build-run cycle by providing a live development server with hot reload, full project context, and live unit testing.

Kagan

Orchestrates AI coding agents to streamline software development workflows.

Token Enhancer

Strips web pages down to clean text for AI agents, dramatically reducing token usage before entering the context window.