Cloud · MODEL CONTEXT PROTOCOL

intersective practera mcp server

MCP server for Practera

WHAT IT CONNECTS

What intersective practera mcp server gives an AI Agent

  • Server-Sent Events (SSE) transport for MCP
  • AWS Lambda deployment support
  • GraphQL integration with Practera API
  • Region-specific endpoints
  • API key authentication
  • OAuth 2.1 support for secure access
  • Node.js 18+
  • npm
  • AWS account (for deployment)
  • Practera API key
  • OAuth client credentials (for OAuth authentication)
  • Clone this repository
  • Install dependencies:
  • Start the server in development mode:
  • The server will be available at `http://localhost:3000/sse`
  • OAuth endpoints will be accessible at `http://localhost:3000/oauth/*`
  • Make sure you have [AWS CLI](https://aws.amazon.com/cli/) installed and configured.
  • Set up your OAuth configuration parameters:
  • Deploy using the Serverless Framework:
  • `apikey` parameter in each tool call
  • `region` parameter to specify the Practera region
  • Redirect users to `/oauth/authorize` for authorization
  • Exchange authorization code for access token at `/oauth/token`
  • Access the MCP server endpoints using the bearer token
  • Revoke tokens if needed at `/oauth/revoke`
  • `mcp_practera_get_project` - Get details about a Practera project
  • `mcp_practera_get_assessment` - Get details about a Practera assessment
  • API key for Practera authentication (if using API key auth)
  • Region for the Practera API (usa, aus, euk or p2-stage)
  • OAuth configuration (if using OAuth authentication)

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.