Data Science & ML MCP 서버

Deep Research

Automates web search, document analysis, and information gathering using agent-based technology.

Spiral

Provides a standardized interface for interacting with Spiral's language models via a Model Context Protocol (MCP) server.

Kafka Connector

Enables AI models and agentic applications to interact with Apache Kafka for message publishing and consumption.

Gemini

Enables Claude Desktop to generate images using Google's Gemini AI models.

RunwayML Luma AI

Enables video, image, and audio generation through RunwayML and Luma AI APIs using text and image prompts.

SqlServer Integration

Enables Large Language Models to interact with and query Microsoft SQL Server databases.

Mcp-Use-Ts

Connect LangChain.js-compatible LLMs with MCP servers for building AI agents with dynamic tool access and multi-server support.

Open Census

Transforms AI assistants into U.S. Census data experts, enabling natural language queries for accurate demographic information with proper interpretation and context.

SCAPO

Extracts actionable AI service optimization tips from community discussions on platforms like Reddit.

YouTube

Provides token-optimized, structured data for LLMs from the YouTube Data API v3.

ServiceNow API

Provides a Python wrapper for ServiceNow APIs, enabling programmatic interaction and serving as an MCP Server for agentic AI.

Israel Drugs

Enables AI agents to access Israel's comprehensive pharmaceutical database from the Ministry of Health, providing evidence-based medication guidance and therapeutic recommendations.

Agent Toolkit

Enables AI agents to interact with HPC resources, scientific data formats, and research datasets for scientific computing.

Withings

Integrates Withings health data with AI models, enabling natural language access to personal health metrics.

Database Server

Exposes relational databases to AI agents, enabling natural language queries and structured result retrieval.

PDF

Enables AI agents to efficiently extract text, search, and analyze PDF documents using intelligent caching and the Model Context Protocol.

Ctx++

Empowers AI coding agents with rapid symbol search, call-graph traversal, and blast-radius analysis capabilities across codebases.

Tardygrada

Provides a formally verified programming language for AI agents, cryptographically verifying every output and preventing hallucinations through an ontology-driven pipeline.

SeleneDB

Provides an AI-native graph database combining a full ISO GQL query engine, built-in vector search, graph-native RAG, and agent memory in a single Rust binary.

Opendata.cat

Connects large language models with public open data from various Catalan organizations, enabling AI assistants to search, explore, and query real-world datasets.