# Getting Started with Apollo MCP Server for any GraphQL API

DevFeed: [Getting Started with Apollo MCP Server for any GraphQL API](<https://devfeed.tech/articles/getting-started-with-apollo-mcp-server-for-any-graphql-api-23313.md>)

Original publisher: [Read original article](<https://www.apollographql.com/blog/getting-started-with-apollo-mcp-server-for-any-graphql-api>)

Author: Michael Watson

Published: 2025-05-15T09:00:00Z

Content type: tutorial

Language: en

Sources: [Apollo Blog](<https://devfeed.tech/sources/apollo-blog.md>)

Topics: [GraphQL](<https://devfeed.tech/topics/graphql.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [API](<https://devfeed.tech/topics/api.md>), [Rust](<https://devfeed.tech/topics/rust.md>), [Docker](<https://devfeed.tech/topics/docker.md>)

Tags: [announcement](<https://devfeed.tech/tags/announcement.md>), [commands](<https://devfeed.tech/tags/commands.md>), [docker](<https://devfeed.tech/tags/docker.md>), [github](<https://devfeed.tech/tags/github.md>), [graphql](<https://devfeed.tech/tags/graphql.md>), [guide](<https://devfeed.tech/tags/guide.md>), [installation](<https://devfeed.tech/tags/installation.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [rust](<https://devfeed.tech/tags/rust.md>)

## AI overview

A developer guide to setting up Apollo MCP Server for GraphQL APIs. It covers installation, configuration, building the Rust source repository, using Docker images, and testing example MCP server tools with the MCP Inspector.

## Source excerpt

As a developer, you're likely familiar with the challenges of integrating AI systems into your existing infrastructure. This might have entailed implementing your own custom integration, or using framework like LangChain. These approaches may have worked, but can quickly lead to large maintenance overheads. While we've long-held the belief that AI is best with API Orchestration, making it a reality was not practical for most development teams.