Apollo GraphQL launched the Apollo MCP Server, a solution that integrates graph APIs with AI models using the Model Context Protocol (MCP). This release positions GraphQL as the essential protocol for secure, efficient AI-API orchestration, addressing the growing need for seamless data access in AI applications.
Apollo MCP Server launched to connect GraphQL APIs with AI models via MCP.
Supports zero-code MCP tool creation and native REST/GraphQL integration.
Ensures secure, deterministic execution with built-in policy enforcement.
Simplifies deployment with Rover CLI or containerized cloud options.
Addresses AI data challenges like discovery, sequencing, and caching.
Available now via source code or ready-to-use containers.
The Apollo MCP Server leverages MCP, an open standard pioneered by Anthropic and adopted by OpenAI, to enable AI models to access external data and services beyond their training. “With the Apollo MCP Server, we’re establishing GraphQL as the essential protocol for AI-API orchestration,” said Matt DeBergalis, CTO and co-founder of Apollo GraphQL. GraphQL’s declarative, schema-driven approach simplifies complex tasks like data discovery, sequencing, security gating, and caching, making it ideal for AI-driven applications.
Zero-Code Tool Creation: Developers can transform GraphQL schemas or operations into MCP tools without procedural coding, accelerating development.
REST and GraphQL Support: Works seamlessly with unmodified REST APIs via Apollo Connectors and native GraphQL services, ensuring broad compatibility.
Deterministic Execution: Delivers consistent, efficient API call execution for reliable performance across interactions.
Policy Enforcement: Restricts AI interactions to pre-approved operations, supporting secure, complex workflows across multiple APIs.
AI-Native Workflows: Enables AI-assisted discovery and creation of new API capabilities, enhancing developer productivity.
Organizations face significant hurdles in providing AI applications with API access, including security, scalability, and data formatting. The Apollo MCP Server’s GraphQL-based orchestration addresses these by offering a standardized, secure interface. It eliminates the need for custom integrations, reducing maintenance overhead compared to frameworks like LangChain. The platform’s introspection tools, including schema and execute tools, optimize token usage by providing concise context to large language models (LLMs).
The server supports flexible deployment, allowing developers to start locally using Apollo’s Rover CLI or deploy as a containerized service for cloud integration. Available via source code or pre-built containers, it ensures accessibility for teams of all sizes. A livestream on May 21, 2025, will showcase developer workflows, including hot-reloading and Q&A, to help users get started.
The launch aligns with the rapid adoption of MCP, which streamlines AI interactions with enterprise systems like CRMs and databases. Posts on X highlight developer enthusiasm, with users praising the ability to add context to schemas without altering APIs. Apollo’s integration with MCP positions it as a leader in the $10 billion API management market, competing with platforms like Postman and Zuplo.
Apollo GraphQL helps developers build better software faster with a declarative, graph-based approach to API orchestration. With over 1 billion downloads of its open-source software, Apollo has become the standard for working with GraphQL and powers the most innovative brands today. The Apollo GraphOS® platform provides the infrastructure to unify APIs into a composable graph, enabling teams to query data from anywhere and ship new experiences with speed and confidence. Backed by Andreessen Horowitz, Insight Partners, Matrix Partners, and Trinity Ventures, Apollo is headquartered in San Francisco.
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