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docs/source/index.mdx

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<ExperimentalFeature />
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Apollo MCP Server provides a standard and secure way for AI models to access and use your graphs running in Apollo.
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Apollo MCP Server provides a standard way for AI models to access and use your graphs running in Apollo. It allows AI tools to securely interact with GraphQL APIs using approved, context-aware operations.
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## What is MCP?
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[MCP](https://modelcontextprotocol.io/introduction) is an open protocol that standardizes how applications provide context to AI models like Large Language Models (LLM). MCP enables LLMs and AI agents to indirectly fetch data from external sources.
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MCP follows a client-server architecture. MCP servers expose function, called _tools_, that MCP clients can invoke.
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## What is Apollo MCP Server?
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Apollo MCP Server an implementation of a Model Context Protocol (MCP) server. It makes GraphQL API operations available to AI clients as MCP tools.
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Apollo MCP Server an implementation of a Model Context Protocol (MCP) server. It makes GraphQL API operations available to AI clients as MCP tools.
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The GraphQL operations can be configured from persisted queries, which are predefined, approved lists of operations that are registered with and maintained by a graph. The operations can also be determined by AI introspecting your graph schema.
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Apollo MCP Server is deployable in local environments via Apollo's Rover CLI or in containerized services in your cloud infrastructure. It can expose an MCP endpoint using Server-Sent Events (SSE) for communication with AI clients.
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### Benefits of using Apollo MCP Server
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- **Facilitates AI-enabled API orchestration**. With Apollo MCP Server, AI models can act as intelligent orchestrators of their GraphQL API operations. By exposing GraphQL operations as distinct MCP tools, AI clients can dynamically chain these operations together, in combination with other MCP servers and tools to execute complex workflows and automate multi-step processes.
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- **Streamlines AI Integration with GraphQL**. Developers can expose existing or new GraphQL API operations to AI clients without building complex custom integrations. By translating GraphQL functionalities into standardized MCP tools, Apollo MCP Server can significantly reduce the effort needed to connecting AI to diverse data sources.
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- **Enhances Control and Security over Data Access**. By using pre-defined, pre-approved persisted queries, developers can maintain precise governance over which data and operations AI clients can access. This ensures that AI uses existing security protocols and data access policies.
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