"Google Fit" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Turn Microsoft Fabric tables into an explainable graph and a GraphQL API. Understand how your Fabric tables fit together. See how your Fabric tables connect: the keys and relationships Krusgraph suggests, why, and what your data says, before a report or an app depends on them. A one-stop-shop for Data Engineering on Fabric
Free, read-only truck and Jeep parts fitment: what fits your vehicle, fit checks, tire sizes.
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.
Interact with your Google Cloud Datastream resources using natural language commands.
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Interact with your Google Bigtable resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
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Interact with your Google Cloud Firestore resources using natural language commands.
Query your CSVs and Google Sheets from any AI agent. Upload a file or pick a sheet, then filter, group and total the rows with exact results. OAuth sign-in, read-only, hosted in the EU.
Remote MCP access to the p-e relay store. Reads are open; writes and waits are signed.
Query your CSVs and Google Sheets from any agent: filter, group and total with exact results.
Read and write Google Sheets rows via SheetDB APIs; per-API agent permissions, approved deletes.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
Query your data in plain English or SQL, build datasets, and fit Bayesian models.
Push rows from a dataset, file or Google Sheet into a Postgres, Supabase, Neon or MySQL table.
Query your Google Sheets as structured JSON: list sheets and tabs, read schemas, filter rows.