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Gapwise AI

Gapwise AI is a permissioned, provider-neutral integration service that connects AI clients to public UTM campus intelligence and delegated Gapwise student context. It ensures secure access without unrestricted account access, maintaining privacy and data integrity.

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Gapwise AI screenshot
Gapwise AI screenshot

Gapwise AI serves as a permissioned, provider-neutral Model Context Protocol (MCP) integration service designed to connect AI clients with public UTM campus intelligence and explicitly delegated Gapwise student context. This service allows AI clients to access deterministic facts without turning them into model guesses, ensuring that the AI client supplies the model and reasoning layer while Gapwise provides canonical facts, permissions, and bounded actions.

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The integration boundary allows for stateless public UTM campus intelligence reads and narrowly permissioned private student context access. It ensures that clients do not receive unrestricted account access, maintaining privacy and data integrity. The service supports OAuth-protected private schedule, status, and planning reads, as well as bounded private writes.

Gapwise AI emphasizes the importance of respecting schedule semantics, where RES entries are potential assessment windows rather than weekly commitments. It maintains uncertainty by keeping unknown hours and approximate routes intact, ensuring that Gapwise gap budgets and warnings remain authoritative.

The service is designed for AI clients that need to access public campus intelligence and/or explicitly delegated Gapwise student context through a tool-oriented protocol surface. It is not intended for inferring private schedule state without independent authorization.

Gapwise AI's delegation and safety model ensures that public campus intelligence is stateless and does not require private delegation. Private access starts only after explicit delegation by the student, and any personal-item or preference write is bounded by granted permission. Revocation removes delegated authority, and a new authorization is required for future access.

  • CategoryAI Knowledge Management
  • DeploymentCloud
  • PlatformsWeb

  • Permissioned MCP integration

  • Provider-neutral access

  • Public UTM campus intelligence

  • Explicit delegation for private context

  • OAuth-protected reads and writes

  • Deterministic search tools

  • Schedule semantics respect

  • Privacy and data integrity

  1. Configure: Set up AI client integration

  2. Use: Access public campus intelligence

  3. Authorize: Delegate private context access

  4. Optimize: Ensure privacy and data integrity

  • Campus Intelligence Access
  • Student Context Delegation
  • Schedule Management
  • Privacy Assurance
  • OAuth-Protected Access

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