AI Agent for Grafbase MCP
Supercharge your GraphQL API management with the Grafbase Model Context Protocol (MCP) server integration. Streamline endpoint exposure, automate gateway configuration, and enable seamless connectivity between your API and development tools. Effortlessly manage GraphQL endpoints, simplify configuration, and accelerate your development workflow with robust MCP support.
Automated MCP Server Setup
Quickly launch the Grafbase MCP server with a single CLI command and connect with your GraphQL API. Automate the setup process and reduce manual configuration, making your API endpoints instantly accessible for advanced integrations and development workflows.
- CLI-Based Launch.
- Start the MCP server with a single npx grafbase command for instant deployment.
- GraphQL API Connectivity.
- Seamlessly connect your GraphQL endpoints for simplified API management.
- Automated Endpoint Exposure.
- Expose and configure MCP endpoints automatically, reducing manual intervention.
- Custom Configurations.
- Control path, mutation permissions, and more with simple gateway configuration options.
Flexible GraphQL Gateway Integration
Integrate MCP endpoints directly into your Grafbase Gateway. Enable or disable features like mutations, set custom paths, and fine-tune your gateway to fit your project’s unique requirements for robust and secure API management.
- Customizable Gateway Exposure.
- Easily expose MCP services at your preferred endpoint path using simple gateway configuration.
- Fine-Grained Permission Control.
- Enable or restrict mutation execution to match your security requirements.
- Easy Configuration Files.
- Define MCP settings clearly in grafbase.toml for quick deployment and auditing.
Seamless Dev Tool Integration
Connect your MCP server to development tools like Cursor with straightforward JSON configuration. Enable a unified development experience, accelerate testing, and maintain robust connections between your APIs and favorite tools.
- Development Tool Compatibility.
- Easily connect MCP endpoints to tools like Cursor to streamline your workflow.
- Rapid Testing & Prototyping.
- Instantly test and prototype endpoints for faster feedback and iteration.
Get Started with Grafbase MCP Server
Experience seamless GraphQL API integration and management using the Model Context Protocol. Launch your MCP server or connect with Grafbase Gateway today.
What is Grafbase
Grafbase is a cutting-edge platform designed for enterprise API management and GraphQL Federation at scale. It enables organizations to compose all their data sources into a unified graph, making it easy to access and manage data across multiple backends. Grafbase offers advanced governance and analytics tools, empowering teams to build, secure, and monitor mission-critical applications with unmatched query speed and scalability. The platform supports self-hosted and cloud deployments, ensuring flexibility and powerful customization options for enterprises looking to optimize their API infrastructure.
Capabilities
What we can do with Grafbase
Grafbase empowers developers and enterprises to seamlessly manage, scale, and secure their GraphQL APIs. Here are some of the key capabilities enabled by the platform:
- Unified Data Graph
- Connect and compose multiple data sources into a single, unified GraphQL API.
- Federation
- Implement GraphQL Federation to manage distributed APIs and microservices at scale.
- Advanced Governance
- Enforce access controls, schema governance, and API analytics for enhanced security and compliance.
- Customization
- Self-host or deploy in the cloud with powerful customization to fit enterprise needs.
- Performance Analytics
- Monitor and optimize API performance with built-in analytics and observability tools.
How AI Agents Benefit from Grafbase
AI agents and automation systems can leverage Grafbase to access unified, reliable, and scalable data across multiple sources. By integrating with Grafbase, AI agents can streamline data ingestion, ensure data consistency, and quickly adapt to changing data schemas. The advanced governance and analytics features also enable AI systems to maintain compliance, monitor API usage, and optimize performance—making them more robust and adaptable in production environments.