mcp-server-gravitino

A secure, multi-tenant MCP server framework for building AI backend systems with external service integration

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Natoma provides a hosted Model Context Protocol (MCP) platform, Natoma Agent Access, designed to securely bridge AI agents with enterprise systems and data, offering granular control, robust security, and automation for scaling AI adoption.

An MCP server for ONLYOFFICE DocSpace, enabling large language models to interact with DocSpace files, folders, people, and rooms through a set of defined tools.

A basic MCP server implementation for weather data using the NOAA API, providing forecast and alert tools.

Doris MCP (Model Context Protocol) Server is a backend service built with Python and FastAPI. It implements the MCP, allowing clients to interact with it through defined "Tools". It's primarily designed to connect to Apache Doris databases, potentially leveraging Large Language Models (LLMs) for tasks like converting natural language queries to SQL (NL2SQL), executing queries, and performing metadata management and analysis.