"Information about SQL" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Kaiva Bridge turns your API, database or documents into a managed MCP server for Claude, ChatGPT, Cursor and VS Code. Point it at an OpenAPI or Swagger spec, an API docs link, a cURL command, a Postman collection, a GraphQL endpoint, Postgres, MySQL, MariaDB or SQL Server, spreadsheets, PDFs and other documents, or an MCP server you already run. Bridge reads the source and proposes tools, and you choose which ones your AI client sees. No code to write and nothing to run. Connect this server and your agent does the setup for you: it lists your servers, shows one, drafts a new server from an OpenAPI spec, and refreshes a server's tools when its API changes. Free plan: 10 servers and 200,000 tool calls a month, no credit card. Pricing: https://kaiv.ai/bridge/pricing Security: https://kaiv.ai/bridge/security Docs: https://kaiv.ai/bridge/docs
Supabase-compatible Postgres for agents: projects, branches, SQL, auth, storage, email.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
Your Supabase account in natural language: run SQL, apply migrations, manage tables, storage, edge f
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.
Publish any app in one call: SQL database, functions, email, and a custom domain. Flat price.
Create, manage, and query your Google Cloud SQL resources.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.
Ask about Vercel Web Analytics and Speed Insights across all your projects and boards.
Ask about AWS, Azure, GCP, OpenAI, Anthropic and Snowflake costs, budgets, and anomalies.
Ask about your customers' Azure costs, compliance and Microsoft 365 security.
Connect to PlanetScale databases, branches, schema, query insights, and execute SQL
Managed Postgres MCP: projects, SQL, docs search, and storage buckets via OAuth.
Order, configure and deploy Docker containers and PostgreSQL or SQL Server databases in the EU.
