"How to access developer tools in web browsers" 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

The agent-native cloud: database, functions, AI, storage, computers. 55 tools, one API key.

Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

Find novel, statistically validated patterns in tabular data — hypothesis-free.

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.

Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.

Comprehensive PostgreSQL documentation and best practices, including ecosystem tools

AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.

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.

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

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.

Provides tools to manage Memorystore for Valkey instances and backups.

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

Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.

Query and join across SaaS tools, SQL, and NoSQL databases through one unified SQL interface.