"Automating Browser Operations with Scripting or Tools" matching MCP connectors:

The agent-native cloud: database, functions, AI, storage, auth and more. 50 tools, one API key.

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.

Comprehensive PostgreSQL documentation and best practices, including ecosystem tools

Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.

EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.

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.

VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage

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.

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

Managed MCP gateway for PostgreSQL. Connect Cursor, Claude Desktop, VS Code, and Windsurf to your database with per-table permissions, encrypted credentials, and a full query audit trail. OAuth 2.0 authentication, free tier available.

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.