Grafbase

Manage your Grafbase GraphQL infrastructure through AI conversations

Your AI agent monitors schemas, reviews federation checks, manages API keys, and inspects subgraphs in your Grafbase project. Developers get instant answers about their GraphQL infrastructure without leaving the chat. DevOps visibility at conversation speed.

Chosen by 800+ global brands across industries

GraphQL infrastructure management, conversational style

Your AI agent navigates Grafbase's schema registry, federation layer, and API key management, giving developers instant visibility into their GraphQL platform.

Grafbase

Use Cases

GraphQL ops through conversation

Real scenarios where developers and platform teams use AI agents to manage schemas, audit API access, and monitor their Grafbase federation without touching dashboards.

Pre-Deployment Schema Validation in Chat

A developer is about to deploy a schema change and wants to confirm the latest check passed. The AI Agent retrieves the most recent schema check from Grafbase, confirms it passed with no breaking changes, and lists the affected subgraphs. The developer gets deployment confidence from a single chat message instead of navigating the dashboard and CLI output.

API Key Rotation Without Dashboard Access

A security audit reveals an API key needs to be rotated. The AI Agent lists all Grafbase API keys, identifies the compromised one by name, deletes it, and confirms the revocation. The operations team completes the rotation through the chat in under a minute, even from their mobile device during off-hours.

Federation Topology Review for New Team Members

A new developer joins and asks what subgraphs exist in production. The AI Agent queries Grafbase for all published subgraphs on the main branch, returns each subgraph name and endpoint URL, and retrieves the federated schema SDL. The developer gets a complete architecture overview from a single conversation instead of hunting through documentation.

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Grafbase

Grafbase

FAQs

Frequently Asked Questions

How does the AI agent retrieve my Grafbase federated schema?

The agent calls the Get Federated Schema endpoint with an optional branch parameter (defaults to 'main'). It returns the composed GraphQL SDL for the entire federated graph. This is the same schema you would see by running 'grafbase schema' in the CLI, but accessible through conversation.

Can the agent check if a schema change will break existing queries?

The agent retrieves schema check results using the Get Schema Check endpoint, which includes pass/fail status, breaking change details, and error summaries. While the agent does not run checks itself (those are triggered via CLI or CI), it can surface results from past checks during conversations.

What Grafbase credentials does Tars need?

Tars requires your Grafbase project subdomain and an API key. The subdomain identifies your project for API routing, and the key authenticates requests. Both are entered in the Tars dashboard when configuring the Grafbase tool. Keys can be generated and revoked from your Grafbase project settings.

Does Tars store my Grafbase schema data or API keys?

The API key used for authentication is stored securely in Tars for making requests. Schema data, subgraph information, and audit logs are fetched live from Grafbase during conversations and are not cached or persisted by Tars separately.

Can the agent list all subgraphs in my federation and their endpoints?

Yes. The List Subgraphs endpoint returns all published subgraphs for a specified branch, including each subgraph's name and URL. This gives your team instant visibility into the federation topology without navigating the Grafbase dashboard.

How is this different from using the Grafbase CLI directly?

The CLI requires terminal access and knowledge of specific commands. Tars lets anyone on your team query Grafbase through natural language in any chat interface. Non-technical stakeholders can check schema status or audit API access without CLI installation or training.

Can the agent manage Model Context Protocol (MCP) server configurations?

Yes. The agent can enable or disable MCP servers, list all configured MCP servers, and delete specific server configurations by ID. This makes it possible to manage AI integration points in your Grafbase project through conversational commands.

What happens if I ask about a schema check that does not exist?

The API returns an error when a check ID is not found. The agent handles this by informing the user that no matching schema check was located and suggests they verify the check ID or list all available checks to find the correct one. No system errors or broken workflows result.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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