"How to interact with Visual Studio Code" matching MCP connectors:

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

Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

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.

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.

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

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

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

Interact with your Google Cloud Datastream resources using natural language commands.

Connect your AI to your Well financial data - invoices, companies, contacts.

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.

Interact with your Google Bigtable resources using natural language commands.

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.

PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.