Data Science & ML Servidores MCP

Math

Provides mathematical and statistical functions to Large Language Models (LLMs) via a simple API.

Academic Search

Enables LLMs to search and retrieve academic paper information from Semantic Scholar and Crossref.

Chronulus Agents

Enables chatting with Chronulus AI forecasting and prediction agents within Claude.

Healthcare

Provides AI assistants with access to healthcare data and medical information tools.

Tool Kit

Provides an agentic abstraction layer for building high precision vertical AI agents in Python.

Vectorize

Implements a Model Context Protocol (MCP) server that integrates with Vectorize for advanced vector retrieval and text extraction.

SQLite Explorer

Provides safe, read-only access to SQLite databases for exploration and querying by Large Language Models (LLMs).

PubMed

Enables AI assistants to search, access, and analyze PubMed articles via a simple interface.

Freqtrade

Enables AI agent interaction with the Freqtrade cryptocurrency trading bot via its REST API for automated trading operation.

Memory

Provides knowledge graph management capabilities for large language models, enabling persistent memory across conversations.

LightRAG

Bridges the LightRAG API with MCP-compatible clients, enabling Retrieval-Augmented Generation (RAG) capabilities in AI tools.

Xueqiu

Enables easy access to stock data from Xueqiu API through Claude or other AI assistants.

Screenshot

Captures and tiles web page screenshots into AI-friendly dimensions, specifically optimized for Claude Vision API.

Jean Memory

Provides a secure, unified memory layer that enables AI applications to retain context and preferences across multiple platforms.

Power BI

Empowers AI assistants to interact with Power BI datasets using natural language.

FlowLens

Empowers AI coding agents with full browser context to streamline debugging and regression testing workflows.

Alpha Vantage

Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).

Multi-Agent Ralph Wiggum

Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.

Arbor

Builds a comprehensive graph of your codebase, providing deterministic program understanding for AI-assisted code intelligence instead of embedding-based RAG.

Tendem

Integrates Tendem's AI + Human Agent capabilities directly into various coding environments.