"An overview of Google Workspace" matching MCP connectors:
Matching Connector Tools:
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Every figure re-checked against SQL-computed facts; unsupported questions refused with the reason.
DETRAN DF: Vehicle (Mobile), official-source lookup. Platform-hosted, pay per query with prepaid cre
BookBrainz MCP — open book metadata (MetaBrainz / sister of MusicBrainz)
Registry of companies selling AI agents identity, phone, email, addresses, money, legal, insurance
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.
Connect your AI to your Well financial data - invoices, companies, contacts.
Read-only analytics for Convex apps, queryable via MCP from Claude, Cursor, and other clients.
Interact with your Google Cloud Datastream 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.
Interact with your Google Cloud Firestore resources using natural language commands.
Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
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.
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.