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Practera MCP Server

@MCP-Mirror

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

MCP-Mirror

About Practera MCP Server

Mirror of

Practera MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "practera": {
      "url": "https://your-lambda-url.lambda-url.us-east-1.on.aws/mcp"
    }
  }
}

Practera MCP Server tools

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Overview

What is Practera MCP Server?

Practera MCP Server is an MCP (Model Context Protocol) server that provides access to Practera’s GraphQL API, enabling AI models to query Practera learning data. It is designed for learning designers (author users) who want to analyze and restructure projects and assessments using LLMs.

How to use Practera MCP Server?

Install dependencies with npm install, then run locally with npm run dev (server at http://localhost:3000/sse). For production, build with npm run build and deploy to AWS Lambda using npm run deploy with required OAuth parameters. Connect from an MCP client (e.g., Claude Desktop) by providing your Practera API key, region, and optionally OAuth configuration.

Key features of Practera MCP Server

  • Server-Sent Events (SSE) transport for MCP
  • AWS Lambda deployment support
  • GraphQL integration with the Practera API
  • Region‑specific endpoints (usa, aus, euk, p2‑stage)
  • API key authentication (current) and OAuth 2.1 (coming soon)

Use cases of Practera MCP Server

  • Analyze project structure to extend or compress it
  • Restructure projects for different grade levels or audiences
  • Evaluate and improve assessments within a project
  • Generate project blueprints, templates, and assessment questions
  • Create Common Cartridge versions or import from LMS data files

Frequently asked questions

1

What is the Practera MCP Server and who is it for?

It is an MCP server that lets AI models query Practera learning data. Currently, it is only available to learning designers (author users).

2

What authentication methods are supported?

The server supports API key authentication (currently) and OAuth 2.1 (forthcoming). When using API key auth, you supply an `apikey` and `region` parameter.

3

What are the prerequisites to use the server?

Node.js 18+, npm, an AWS account (for deployment), a Practera API key, and OAuth client credentials (if using OAuth authentication).

4

What MCP tools are available?

The server exposes two tools: `mcp_practera_get_project` to retrieve project details and `mcp_practera_get_assessment` to retrieve assessment details.

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