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

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.

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.

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 for accessing and operating on Hugging Face datasets

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.

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

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.

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.

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 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.

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.

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.

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

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

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

The Hugging Face MCP Server is a model context protocol service that provides read-only access to the Hugging Face Hub API, enabling LLMs like Claude to interact with Hugging Face's models, datasets, spaces, papers, and collections.

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

The Honeycomb MCP Server is an interface service that enables Claude AI to interact with the Honeycomb API through the Model Context Protocol (MCP), implementing operations on datasets, queries, events, etc.

MCP Server is a multi-functional data exploration tool that can serve as a personal data science assistant, transforming complex datasets into clear and actionable insights. It supports loading CSV data through the Claude desktop application, executing Python scripts, and automatically generating data analysis reports and visual charts.

The Data.gov.my MCP Server is an MCP server that provides access to Malaysia government's open data catalog. Developers can discover, browse, and obtain official datasets from the Malaysia government through a unified interface.

The OpenML MCP Server is a tool that provides access to the OpenML API through the MCP protocol, allowing users to directly query machine learning resources such as datasets, tasks, and processes from MCP-compatible clients (such as Claude Desktop).

An MCP server for accessing government data on Data.gov, providing dataset search and interaction tools

This project is a research on automated medical coding, providing code for training and evaluating medical coding models on the MIMIC - III and MIMIC - IV datasets, including the implementation of multiple models and the division of new datasets.

The MCP Server is an interactive data exploration tool that helps users transform complex datasets into clear and actionable insights.