# How Block Scaled Graph Adoption with Apollo and AI

DevFeed: [How Block Scaled Graph Adoption with Apollo and AI](<https://devfeed.tech/articles/how-block-scaled-graph-adoption-with-apollo-and-ai-23359.md>)

Original publisher: [Read original article](<https://www.apollographql.com/blog/how-block-scaled-graph-adoption-with-apollo-and-ai>)

Author: Valeria Gomez

Published: 2025-11-24T12:30:00Z

Content type: article

Language: en

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

Topics: [GraphQL](<https://devfeed.tech/topics/graphql.md>), [Apollo Connectors](<https://devfeed.tech/topics/apollo-connectors.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [gRPC](<https://devfeed.tech/topics/grpc.md>), [API](<https://devfeed.tech/topics/api.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>)

Tags: [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [apollo-connectors](<https://devfeed.tech/tags/apollo-connectors.md>), [events](<https://devfeed.tech/tags/events.md>), [graphql](<https://devfeed.tech/tags/graphql.md>), [learn](<https://devfeed.tech/tags/learn.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [rest-apis](<https://devfeed.tech/tags/rest-apis.md>), [services](<https://devfeed.tech/tags/services.md>), [software](<https://devfeed.tech/tags/software.md>)

## AI overview

The article recaps Block's GraphQL Summit 2025 session on scaling graph adoption. Block used Apollo Connectors to bring gRPC services onto a federated graph through their existing JSON translation layer, then combined Apollo MCP Server with its open-source AI agent Goose to generate Connector schemas, directives, types, and tests.

## Source excerpt

A recap from Block's GraphQL Summit 2025 session on scaling graph adoption with Apollo Connectors, Apollo MCP, and AI When Block's GraphQL platform team discovered Apollo Connectors, they saw a path to bring thousands of existing APIs onto the graph without asking hundreds of engineering teams to run new services or learn new tooling.