An MCP server that provides financial market data, supporting queries of financial data and price information of stocks and cryptocurrencies

The MCP server for the 1000 Genomes Project dataset provides real - time natural language access to 3202 samples, 138 million variants, and approximately 442 billion genotypes in the Dnaerys variant storage, supporting screening and analysis based on coordinates, annotations, and genetic patterns.

This project provides a server based on the Model Context Protocol (MCP) for accessing the open data API of Statistics Netherlands (CBS), enabling AI tools to query statistical datasets, dimensions, and observations through the MCP protocol.

An MCP server for accessing Singapore's government datasets on data.gov.sg, providing dataset browsing, search, and download functions, with built - in API rate limiting.

A server project based on FastMCP that provides an access interface to Israel's OpenBudget data, supporting query and search of various budget - related datasets.

The Earthdata MCP Server is a server implementation based on the Model Context Protocol, designed specifically for interacting with NASA Earthdata, providing efficient geospatial dataset discovery and retrieval tools.

An MCP server for accessing and operating on Hugging Face datasets

The FedRAMP Docs MCP Server provides a structured query and analysis tool for the official FedRAMP document library, supporting FRMR dataset indexing, document search, and version comparison functions

The Malaysia Open Data MCP service provides convenient access to government datasets and collections, supporting enhanced unified search, Parquet file parsing, hybrid data access architecture, and multi - provider geocoding functions.

The Foundry MCP Server is a Model Context Protocol server for interacting with the Foundry platform, supporting AI assistants to operate on datasets, ontology objects, and execute functions.

An MCP server that provides read-only access to the Hugging Face Hub API, supporting resources such as LLM interaction models and datasets.

The BigQuery MCP Server is a protocol server that provides Google BigQuery access services for large language models, supporting functions such as query execution, dataset management, and table structure analysis.

A Python - based ML model provenance management service built with FastAPI and SQLAlchemy, providing functions such as dataset management, entity tracking, activity logging, proxy management, and provenance relationship tracking.

The Honeycomb MCP server is an interface that enables Claude AI to interact with the Honeycomb API via the Model Context Protocol (MCP), allowing operations such as retrieving, creating, and updating datasets.

The Dify Knowledge Base Retrieval Tool is a Go language tool for interacting with the Dify platform's knowledge base, supporting local or binary installation.

Academia MCP is an MCP server designed for academic research. It provides tools for searching, retrieving, analyzing, and reporting scientific papers and datasets. It supports platforms such as ArXiv, ACL Anthology, and Hugging Face, and includes functions like web page crawling, LaTeX compilation, PDF reading, and LLM enhancement.

Honeycomb MCP is a Model Context Protocol server for interacting with Honeycomb observability data, supporting querying datasets across multiple environments.

The EOSC Data Commons MCP Server provides an HTTP interface to help users find the required datasets and tools through a search API and large language models.

This project is a Kaggle MCP server built on the FastMCP library, which provides functions for searching and downloading Kaggle datasets and can generate EDA notebook prompts.

This project implements an API server that complies with the MCP protocol for searching the PRIDE Archive proteomics database and supports AI models to interact with proteomics datasets through structured function calls.

A Model Context Protocol (MCP) server that connects to the Domo API, providing dataset metadata query and SQL execution functions.

MCP Analyst is an MCP server that enables Claude to analyze local CSV or Parquet files, suitable for scenarios involving large datasets that exceed the context window limit or require cost optimization.

An MCP server providing access to the QAnon posts dataset for anthropological/sociological research and analysis

An MCP server designed for quantitative research, used to manage the research knowledge graph and support the structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

This is an MCP service that provides a free public API directory, supports semantic search and detailed API information queries, and is built on a public API dataset.

The Power BI MCP Server is a service based on the Model Context Protocol (MCP) that allows interaction with Power BI datasets through natural language, enabling automatic DAX query generation, data exploration, and instant insight capabilities.

An unofficial Hugging Face Hub semantic search MCP server that provides model and dataset search functionality based on natural language queries for MCP-compatible clients such as Claude.

The Model Context Protocol (MCP) server developed for NASA Earth data search (CMR), which integrates AI retrieval with the NASA dataset catalog through Earthaccess.

dank-mcp is a server based on the Model Context Protocol (MCP), specifically designed to answer questions about cannabis datasets. It stores and processes data through DuckDB, supports integration with LLM tools such as Claude Desktop, and provides a query service for cannabis product information for educational purposes.

The Powerdrill MCP Server is a service based on the Model Context Protocol, providing tools for interacting with Powerdrill datasets and supporting authentication through a user ID and project API key.

MCP Hub is a framework for creating and managing Model Context Protocol (MCP) servers and clients, integrating the UV tool to simplify package management and configuration. The project includes AI - related computer vision scripts and dataset processing tools, supporting rapid deployment and development.

This project demonstrates the training of a linear regression model using Claude and the Model Context Protocol (MCP) for an end-to-end machine learning workflow. Users only need to upload a CSV dataset, and the system can automatically complete the entire process of data preprocessing, model training, and evaluation (RMSE calculation).

An automated tool for building and maintaining MCP server datasets, integrating GitHub resources and curated lists for daily updates and categorization management.

The Opera Omnia MCP server provides access to rich JSON datasets, supporting random selection, filtering, and content generation.

A Node.js server that provides comprehensive API interfaces for Adobe Experience Platform, supporting functions such as schema management, dataset operations, and segmentation management.

An MCP server that provides advanced analysis and natural language processing functions, supporting various tools such as dataset analysis, decision analysis, and sentiment analysis.

MCP BigQuery Server is a lightweight server based on the Go language, supporting querying BigQuery data tables through MCP, and providing functions such as dataset listing, table structure query, and query cost estimation.

The MCP tool is a tool for managing model context in GitHub repositories, supporting version tracking, dataset management, performance recording, and documentation of training configurations.

A model context protocol server for interacting with the Foundry platform, supporting AI assistants to operate on datasets, ontology objects, and execute functions.

A Kaggle MCP service based on NodeJS for exploring datasets and creating notebooks