Data Science & ML MCP Servers

Matlab

33

Enables Large Language Models to write and execute MATLAB scripts for complex computations and simulations.

Opendal

33

Provides access to various storage services via Apache OpenDAL™ using the Model Context Protocol.

Apple Books

33

Enables AI-powered interactions with Apple Books data, providing summaries, organization, and recommendations.

Claude Memory

33

Provides persistent memory capabilities for Claude by implementing an MCP server with tiered memory architecture and semantic search.

File Context

33

Provides file system context to Large Language Models (LLMs) for enhanced code analysis and searching.

Awesome Fastapi

33

Enhances the Model Context Protocol with FastAPI's ecosystem, offering improved tool registry and documentation.

Simple Files Vectorstore

33

Indexes and performs semantic searches across files in local directories using vector embeddings.

Dappier

33

Connects LLMs and Agentic AI to real-time, rights-cleared, proprietary data from trusted sources.

Claude Code OpenRouter

33

Integrate OpenRouter's vast collection of AI models directly into Claude Code through a local server.

Beanquery

33

Enables AI assistants to query and analyze Beancount ledger files using Beancount Query Language.

Augmented Nature ChEMBL

33

Provides advanced access to the ChEMBL chemical database through a Model Context Protocol (MCP) server.

Mistral OCR

33

Enables OCR processing of local files and URLs using the Mistral AI OCR API.

Pdf Reader

33

Extracts text content from PDF files, supporting both local files and URLs.

Firebird Integration

33

Enables Large Language Models to securely access, analyze, and manipulate data within Firebird SQL databases.

Oracledb

32

Enables Large Language Models to interact with Oracle Databases, generate SQL statements, and return results using prompts.

QMT

32

Automates intelligent strategy generation, real-time trading execution, and backtesting analysis for a modular quantitative trading system.

TomTom

32

Provides AI agents with seamless access to TomTom's location services, including search, routing, and traffic data, via a Model Context Protocol (MCP) server.

Crew AI

32

Orchestrates multi-agent workflows by automatically loading configurations and executing them via the Model Context Protocol.

Gemini

32

Exposes Google's Gemini model capabilities as standard Model Context Protocol (MCP) tools.

MLB API

32

Provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface, bridging AI applications with baseball data sources.