Grafbase

Connect AI Agents to
Grafbase

Automate workflows and connect AI agents to Grafbase. Metorial is built for developers. Handling OAuth, compliance, observability, and more.

Grafbase on Metorial

The Grafbase integration lets you query and manage your GraphQL API directly from your workspace, enabling you to explore schemas, execute queries and mutations, and configure your API settings without leaving your development environment.

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Combine Grafbase with other tools

Metorial has 600+ integrations available. Here are some related ones you might find interesting.

GitHub

GitHub

The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.

Exa

Exa

The Exa integration lets you perform semantic searches across the web and retrieve high-quality content directly within your workflows, enabling AI agents to find and access relevant information from billions of web pages in real-time.

Hackernews

Hackernews

The Hackernews integration lets you fetch and analyze stories, comments, and user data from Hacker News directly within your workflow, enabling you to track trending topics, monitor discussions, and gather insights from the tech community.

Supabase

Supabase

The Supabase integration lets you query and manipulate your database tables, manage authentication, and interact with storage buckets directly from your AI assistant. Use it to build applications, analyze data, or automate database operations without leaving your workflow.

Google Drive

Google Drive

The Google Drive integration lets you search, read, and manage files and folders in your Google Drive directly through Claude. Use it to access documents, create new files, organize content, and collaborate on shared resources without leaving your conversation.

Brave

Brave

The Brave integration lets you perform web searches using Brave Search directly from Claude, allowing you to retrieve up-to-date information, news, and web results without leaving your conversation.

Netlify

Netlify

The Netlify integration lets you deploy sites, manage builds, configure domains, and update environment variables directly from your development workflow, streamlining your hosting and deployment operations.

Tavily

Tavily

The Tavily integration lets you perform AI-optimized web searches and retrieve real-time information directly within your workflow, enabling your AI assistant to access current data and research capabilities for answering questions and gathering insights.

Linear

Linear

The Linear integration lets you manage issues, projects, and teams directly from your workflow, enabling you to create, update, search, and track work items without leaving your current context.

Connect anything. Anywhere.

Supported tools and capabilities

Metorial helps you connect AI agents to Grafbase with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.

Help & Documentation

Find guides and articles to help you get started with Grafbase on Metorial.

More about Grafbase

Grafbase MCP Server

A Model Context Protocol (MCP) server that provides seamless integration with Grafbase, enabling AI assistants to interact with your GraphQL APIs, manage database schemas, and work with your Grafbase projects directly through natural language conversations.

Overview

The Grafbase MCP server bridges the gap between AI assistants and your Grafbase-powered GraphQL backend. It empowers developers to query data, explore API schemas, and understand their Grafbase project structure without leaving their AI-assisted workflow. Whether you're debugging queries, exploring your data model, or building new features, this server makes Grafbase accessible through conversational interactions.

Features

GraphQL API Integration

  • Execute GraphQL queries against your Grafbase endpoints
  • Run mutations to create, update, or delete data
  • Explore and understand your API schema structure
  • Introspect types, fields, and relationships in your graph

Schema Management

  • Retrieve and analyze your Grafbase schema definitions
  • Understand table relationships and data models
  • Review field types, constraints, and configurations
  • Navigate complex schema architectures with ease

Project Insights

  • Access information about your Grafbase project configuration
  • Review API endpoints and connection details
  • Understand project structure and organization

Use Cases

Rapid Development: Query your database and test GraphQL operations without switching contexts or opening multiple tools.

Debugging Assistance: Quickly investigate data issues by running queries and exploring your schema through natural conversation.

Learning and Documentation: Understand your Grafbase project structure by asking questions about your schema, relationships, and data models.

API Exploration: Discover available queries, mutations, and types in your GraphQL API through interactive dialogue.

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About Metorial

Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.

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