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).
@MCP-Mirror
Basic information
Mirror of
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"
}
}
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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.
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.
It is an MCP server that lets AI models query Practera learning data. Currently, it is only available to learning designers (author users).
The server supports API key authentication (currently) and OAuth 2.1 (forthcoming). When using API key auth, you supply an `apikey` and `region` parameter.
Node.js 18+, npm, an AWS account (for deployment), a Practera API key, and OAuth client credentials (if using OAuth authentication).
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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