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.

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.

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.

ResearchTwin is an open - source federated platform that transforms researchers' papers, datasets, and code repositories into conversational digital twins. Based on a bimodal glial - neural optimization architecture, it supports collaboration between humans and AI agents to accelerate scientific discovery.

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.

This is a FiftyOne MCP server project that allows users to use natural language through AI assistants (such as ChatGPT and Claude) to explore and manage computer vision datasets. It provides functions such as dataset management, operation execution, plugin installation, and session control, exposing more than 80 built - in operators and the plugin ecosystem of FiftyOne to AI tools.