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Practera MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

MCP-Mirror

关于 Practera MCP Server

Mirror of

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?

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

常见问题

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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