"Interacting with AI models like OpenAI or Google models" matching MCP servers:

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Enables AI assistants to perform CRUD operations on a SQLite database, with all tools protected by Google OAuth 2.0 authentication.

Official Google Analytics MCP Server

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

Provides full programmatic access to Google Sheets, enabling CRUD operations, permission management, formatting, and spreadsheet discovery through a standardized MCP interface.

Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.

Enables management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.

Exposes Google Sheets as queryable database tables with operations to list sheets, get schemas, and fetch rows with pagination. Designed to run as a Google Cloud Function with service account authentication.

Enables natural language exploration and querying of Google BigQuery datasets through four tools: listing datasets, inspecting table schemas, generating SQL queries with LLM assistance, and executing approved queries.

Local Model Context Protocol server for reading and writing Google Sheets through Google Sheets API v4.

Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.

A Model Context Protocol (MCP) connector that allows AI agents to directly interact with Google Sheets, enabling creation, reading, and modification of spreadsheets through natural language.

Implements an MCP server that interacts with Google Sheets to store and retrieve prompts and ideas, allowing management of textual content with metadata across spreadsheet tabs.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

Enables role-based order management through MCP tools, allowing users to view and refund orders according to their permissions (USER, MANAGER, ADMIN) with audit logging and JWT authentication handled by a FastAPI client.

A read-only MCP server that connects to Google Sheets and lets you query them in plain English, without needing a Google Cloud project.

Universal database copilot for diagnostics, operations, and performance analysis via MCP and CLI.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.