Apollo GraphQL has announced the Apollo MCP Server, 

designed to connect GraphQL APIs to AI models such as Claude and ChatGPT using the Model Context Protocol (MCP).

As we have already reported, the Model Protocol Context (MCP) is an open protocol developed by Anthropic, which standardizes the interaction between clients and servers to enable seamless integration with LLMs and AI tools from a variety of programming languages.

In this case the language is GraphQL, the emerging standard for declarative API orchestration, and the combination offers AI application builders a seamless path to quickly and safely build API-powered agentic software.

 

Announcing the Apollo MCP Server, Matt DeBergalis, CTO and co-founder of Apollo GraphQL explains:

 

"With the Apollo MCP Server, we're establishing GraphQL as the essential protocol for AI-API orchestration. While MCP is still evolving, and perspectives on implementation will continue to mature as the technology develops, what's clear today is that GraphQL uniquely addresses the needs of AI by allowing teams to focus on building new AI-powered business capabilities, not rehashing endpoints specifically for AI integration. Safe, secure and performant AI needs graph-based API orchestration."

The Apollo MCP Server provides capabilities that reinforce graph-based API orchestration as the essential approach for AI:

• Zero-code MCP tool creation: Apollo MCP Server lets developers instantly turn GraphQL schema or operations into MCP tools without writing a single line of procedural code.
• Native REST and GraphQL support: Apollo MCP works with any combination of unmodified REST APIs via Apollo Connectors as well as native GraphQL services.
• Deterministic, efficient execution: Apollo implements precise and consistent API call execution across every interaction.
• Built-in policy enforcement: AI interactions are limited to pre-approved operations and surface area, including complex orchestration workflows across multiple APIs.
• AI-native development: graph-based tools that allow AI-assisted and AI-automated workflows for automatically discovering and creating new capabilities across a complete API footprint.

By implementing MCP, the Apollo MCP Server enables teams to move at AI speed while maintaining appropriate governance. It also simplifies deployment, with options to start in a local environment via Apollo's Rover CLI or deploy as a containerized service for seamless integration with your cloud infrastructure.

The Apollo MCP Server is available today either by downloading and building from source code or deploying via ready-to-use containers.