What are the main technical capabilities provided?

It offers a type-safe TypeScript SDK, Model Context Protocol (MCP) servers (stdio and HTTP), and hybrid lexical/semantic search powered by Elasticsearch for efficient curriculum data retrieval.

Who is the primary target user for these tools?

These tools are primarily for developers and AI agents who want to integrate structured educational content into AI systems and build curriculum-focused applications.

Can AI assistants integrate with the Oak Open Curriculum data?

Yes, the Model Context Protocol (MCP) servers allow AI assistants like Claude, ChatGPT, and Gemini to search, explore, and fetch curriculum data, aiding teachers and learners.

What is the Oak Open Curriculum Ecosystem?

It's a collection of SDKs, tools, and Model Context Protocol (MCP) servers designed to enable developers and AI applications to access, search, and build on Oak National Academy's Open Curriculum data.

How does it ensure data consistency across its components?

All SDKs, types, validators, and MCP tools are automatically generated from a single OpenAPI schema, ensuring a consistent and type-safe approach.

Oak Open Curriculum Ecosystem

Name: Oak Open Curriculum Ecosystem
Author: oaknational

byoaknational

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Developer Tools

Data Science & ML

Learning & Documentation

Provides tools, SDKs, and Model Context Protocol (MCP) servers for accessing, searching, and building AI applications on the Oak National Academy Open Curriculum data.

Oak Open Curriculum Ecosystem

byoaknational

•

Developer Tools

Data Science & ML

Learning & Documentation

Provides tools, SDKs, and Model Context Protocol (MCP) servers for accessing, searching, and building AI applications on the Oak National Academy Open Curriculum data.

The Oak Open Curriculum Ecosystem offers a comprehensive suite of tools designed to unlock the Oak National Academy's openly licensed curriculum data for AI systems and the broader education technology community. By leveraging a type-safe TypeScript SDK, Model Context Protocol (MCP) servers, and advanced semantic search powered by Elasticsearch, it enables AI assistants like Claude and ChatGPT to explore, search, and integrate structured educational content. This ecosystem empowers developers and educators to build innovative AI applications that help teachers efficiently find, adapt, and utilize high-quality curriculum resources, fostering a new era of curriculum discovery and application.

Key Features

01Type-safe TypeScript SDK for accessing Oak's curriculum API, generated from OpenAPI specification.

02Model Context Protocol (MCP) servers (stdio and HTTP) to enable AI assistants to search, browse, and fetch curriculum data.

03Hybrid lexical and semantic search across curriculum content using Elasticsearch with reciprocal rank fusion.

04Automated generation of SDK and MCP tools directly from a single OpenAPI schema, ensuring consistency.

05Includes 30 curriculum tools and four workflow templates for guided curriculum tasks within MCP clients.

061 GitHub stars

Use Cases

01Assisting teachers in efficiently finding, adapting, and utilizing high-quality, openly licensed curriculum resources.

02Building AI applications and tools that interact with structured educational content and curriculum data.

03Enabling AI assistants (e.g., Claude, ChatGPT) to semantically search and explore lessons, units, and learning progressions.