Data Science & ML MCP Servers

Generate Image

Enables image generation through a Model Context Protocol server compatible with OpenAI's DALL-E API.

Neo4j

Enables natural language interaction with a Neo4j graph database through Claude Desktop.

Zerion

Provides a Model Context Protocol (MCP) server for seamless access to the Zerion API.

Cricket Prediction

Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.

Pybricks Assistant

Provides an intelligent search and retrieval system for Pybricks documentation and code examples.

Llama Maverick Hub

Orchestrates multiple MCP services by positioning Llama Maverick as the central AI brain for intelligent management and request routing.

Raindrop

Enables AI assistants to manage Raindrop.io bookmarks, collections, and tags via the Model Context Protocol.

MedX

Enables AI agents to access medical AI capabilities via a RESTful API, facilitating advanced diagnostic support and personalized healthcare.

Ant Design

Extracts and structures Ant Design v4 component documentation into JSON for AI agent analysis.

Mulmocast Vision

Automatically generates professional presentation slides with business-oriented templates using large language models.

Rag-with-Chromadb

Builds a versatile MCP server with RAG capabilities, supporting multiple document formats using LangChain and ChromaDB for efficient data retrieval.

Dataiku

Standardizes interactions with the Dataiku DSS REST API for robust data science operations and flow analysis.

Server Toolkit

Builds Model Context Protocol servers in Python, offering a framework for static and dynamic plugin integration.

0gmem

Provides LLMs with structured, long-term conversational memory for accurate recall across many sessions.

FamilySearch

Provides an MCP server to access the FamilySearch API for searching places, standardizing dates, and finding person records.

Blockscout

Provides agent-ready API access to Blockscout analytics data via the Model Context Protocol (MCP).

NanoBanana

Provides an MCP server for AI image generation, leveraging Google Gemini and integrating with Claude Code and claude.ai.

NotebookLM

Integrate Claude with Google NotebookLM to generate podcasts, videos, quizzes, and other content through natural language prompts.

VerdictSwarm

Provides a security layer for AI agents that manage financial transactions, utilizing six adversarial AI agents to analyze and debate crypto token risk.

German Farm Planning

Offers AI-assisted guidance for German farm businesses on crop planning, financial benchmarks, German taxation, tenancy law (Pachtrecht), and succession planning, leveraging data like KTBL.