"How to Query a Knowledge Graph Using an Ontology" matching MCP connectors:
Matching Connector Tools:
Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
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.
Monetized graph answers via named Cypher queries — Tollbooth DPYC operator
UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
Human Lineage MCP server — search and query the public genealogical graph of all humanity
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
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
Provides tools to manage Memorystore for Valkey instances and backups.
Interact with your Google Cloud Firestore resources using natural language commands.
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.