Data Science & ML MCP Servers

Paperscraper

Scrape publication metadata from PubMed, arXiv, medRxiv, bioRxiv, and ChemRxiv.

SSB

Enables AI agents to access Norwegian statistical data from Statistics Norway (SSB) API through a standardized interface.

Cloud Compute

Enables Large Language Models to query details for AWS EC2, Azure VMs, and GCP Compute Engine instances.

Vito

Implements a Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) applications, supporting Qdrant and Chroma vector databases.

AICalendar

Manages calendar events with artificial intelligence capabilities.

Avalara AvaTax

Enables querying of Avalara AvaTax data from large language models through CData JDBC Drivers.

Analysis Alpaca

Provides a production-ready Model Context Protocol (MCP) server for comprehensive research and analysis, integrating web and academic search with intelligent content extraction and an optional interactive web interface.

BioMed

Serves biomedical literature database content.

Agent

Facilitates local Model Context Protocol (MCP) server-client interactions, enabling agentic workflows.

Joplin

Exposes Joplin's local REST API as Model Context Protocol tools for AI integration.

AI Agents

Implements AI-powered agents that interact with a multi-channel processing (MCP) server for intelligent tasks and automation.

Vega-Lite Troubleshooting

Provides documentation and troubleshooting guidance for Vega-Lite integration with Claude.

GSheets

Enables reading, writing, and managing Google Sheets data directly from an MCP client.

LinkedIn Profile

Serves LinkedIn profile data via the Model Context Protocol (MCP) for integration with AI models like Anthropic.

Task Portal

Enables self-evolving, general problem-solving through logical reasoning, ethical constraints, and adaptable solutions.

Open Web Agent

Powers web automation with an embedded inference engine and GenAIScript support.

TuningSearch

Provides TuningSearch API access for large language models, enabling free Google search capabilities.

FastAPI Template

Accelerate development of production-grade API servers integrated with large language models, featuring structured logging, comprehensive testing, and an excellent developer experience.

Dotnet

Enables language models (LLMs) to access external data, tools, and custom systems via a .NET-based Model Context Protocol (MCP) server.

Nefino

Provides Large Language Models with access to news and information about renewable energy projects in Germany via the Model Context Protocol.