Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

Question 2

What is the Practera MCP Server?

Accepted Answer

The Practera MCP Server allows AI models to query Practera's GraphQL API, providing access to Practera learning data for analysis and manipulation.

Question 3

What can I do with the Practera MCP Server?

Accepted Answer

You can use it to analyze Practera projects, generate assessments, restructure content for different audiences, and more.

Question 4

What are the prerequisites for using the Practera MCP Server?

Accepted Answer

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

Question 5

How do I install the Practera MCP Server?

Accepted Answer

Clone the repository and run `npm install`.

Question 6

How do I deploy the Practera MCP Server to AWS Lambda?

Accepted Answer

Configure your OAuth parameters and use the Serverless Framework with `npm run deploy`.

Question 7

What authentication methods are supported?

Accepted Answer

API key authentication and OAuth 2.1 (coming soon).

Question 8

What MCP tools are available?

Accepted Answer

`mcp_practera_get_project` and `mcp_practera_get_assessment`.

Question 9

How do I configure the MCP client?

Accepted Answer

You need to provide the API key (if using API key auth), the Practera region, and OAuth configuration (if using OAuth authentication).

Question 10

Where can I find more information about UBOS?

Accepted Answer

Visit [https://ubos.tech](https://ubos.tech) to learn more about the UBOS platform and its AI Agent capabilities.

Practera Learning Data Server

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