"Gathering Context from an Ubuntu Server" matching MCP connectors:

RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.

UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

Cross-brand carbide grade equivalents from verified manufacturer charts; never invents a grade.

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.

Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.

Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.

MCP server exposing supplements database used by iNutriPlan.com

Read-only analytics for Convex apps, queryable via MCP from Claude, Cursor, and other clients.

A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.

It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications

Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.

MCP server for the HubSpot Integrations Center HubDB: search and retrieve integration data.

The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.

PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.

Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

Guardrailed FHIR access for AI agents: PHI redaction, audit trail, step-up auth, tenant isolation

Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.

An MCP server for converting data between 16 formats including JSON, YAML, TOML, CSV, XML, Markdown, HTML, Excel, PDF, and more. Supports single transforms, batch fan-out to multiple targets in one call, and JSON reshaping with dot-notation path mapping. 240 conversion pairs, zero config.