Practera MCP Server

Name: Practera MCP Server
Author: intersective

@intersective

リポジトリ

Practera MCP Server について

MCP server for Practera

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

node

トランスポート

stdio

公開者

intersective

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Practera MCP Server?

An MCP server that provides access to Practera’s GraphQL API, allowing AI models to query Practera learning data. It is intended for learning designers (author users) who want to analyze and restructure projects and assessments.

How to use Practera MCP Server?

Install dependencies with npm install, then start the server in development mode with npm run dev. The server will be available at http://localhost:3000/sse. For deployment, build with npm run build and deploy to AWS Lambda using the Serverless Framework (requires AWS CLI and OAuth configuration). When connecting from an MCP client, provide an API key and region (or OAuth credentials if using OAuth).

Key features of Practera MCP Server

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

Use cases of Practera MCP Server

Analyze and extend/compress a project’s structure.
Restructure a project for different grade levels or audiences.
Evaluate assessments and suggest improvements.
Generate project blueprints, templates, and assessments.
Create Common Cartridge versions or import projects from other LMS data files.

FAQ from Practera MCP Server

What are the prerequisites for running the server?

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

How do I authenticate with the Practera API?

You can use API key authentication by passing the apikey and region parameters in each tool call. OAuth 2.1 is supported but noted as “coming soon” for production use.

Which MCP tools does the server expose?

Currently two tools are available: mcp_practera_get_project (get project details) and mcp_practera_get_assessment (get assessment details).

Where does the data live?

All data is retrieved from Practera’s GraphQL API. The server does not store or cache data locally.

What transport and deployment options are supported?

The server uses SSE transport and can be run locally on port 3000 or deployed to AWS Lambda using the Serverless Framework.

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