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A lightweight python notebook mcp server that allows AI agents and other MCP clients to interact with python notebook files seamlessly.

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An MCP server for Apache Doris & VeloDB

Fused MCP Agents: Setting up MCP Servers for Data Scientists

An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search and ontology exploration.

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Data Agents are intelligent assistants built by data engineers to help non-data professionals navigate the organization’s data infrastructu

ABACUS, an open-source DFT-based simulation platform, is supported by an MCP server that provides a structured communication interface for submitting, managing, and executing tasks.

A MCP Server Of python runner

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.

**Explore the I Ching with Quantum-Powered Reflection** Dive into the ancient wisdom of the I Ching, the 3,000-year-old Chinese *Book of Changes*, now enhanced with quantum random number generation. Generate true-random hexagrams for self-reflection, guided by AI-powered analysis combining classical interpretations, historical insights, and modern applications. Discover patterns, make decisions, and explore change with a tool that bridges ancient philosophy and cutting-edge technology.

**Explore the I Ching with Quantum-Powered Reflection** Dive into the ancient wisdom of the I Ching, the 3,000-year-old Chinese *Book of Changes*, now enhanced with quantum random number generation. Generate true-random hexagrams for self-reflection, guided by AI-powered analysis combining classical interpretations, historical insights, and modern applications. Discover patterns, make decisions, and explore change with a tool that bridges ancient philosophy and cutting-edge technology.

The Label Studio MCP enables seamless management and orchestration of data labeling workflows within Label Studio, the leading open-source data annotation platform. With this MCP, users can programmatically create and configure labeling projects, manage tasks at scale, and automate prediction workflows—empowering teams to efficiently curate high-quality training data for machine learning and AI initiatives.

A full-featured Model Context Protocol (MCP) server that exposes Ensembl’s REST API. Built using the TypeScript MCP SDK