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Practera MCP Server

@intersective

代码仓库

基本信息

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其他

许可证

MIT license

传输方式

stdio

作者

intersective

关于 Practera MCP Server

MCP server for Practera

Practera MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Practera MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

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.

常见问题

1

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).

2

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.

3

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).

4

Where does the data live?

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

5

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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