"Tools or methods to help determine a technology stack" matching MCP connectors:

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

UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.

Cross-brand carbide grade equivalents from verified manufacturer charts; never invents a grade.

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.

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

Comprehensive PostgreSQL documentation and best practices, including ecosystem tools

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

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.

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

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

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

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

DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.