AI & Research

Facilitron MCP Connector

An internal MCP prototype exposing a small, read-only reservation lookup surface with explicit organization selection and bounded application tools.

Internal prototype

About the project

The Facilitron MCP connector is an internal prototype for giving an AI assistant a narrow view of an existing reservation system. Its implemented tools identify the signed-in account, list available organizations, select an organization, and retrieve a reservation.

A fixed request registry bounds the application operations available to the assistant. Organization selection is explicit and responses carry their organization context, so the connection can support account-scoped lookup without exposing a general-purpose API client. Reservation approval, cancellation, and editing remain in the existing application.

What the application supports

Bounded lookup tools

The prototype exposes account, organization, and reservation lookup capabilities through a small MCP tool surface.

Explicit organization context

An organization must be selected before scoped reads, and returned information includes that context.

Existing application boundaries

The connector reads reservation information; business changes continue through the established application workflow.

Related development services

More project stories

Ask Spurgeon

A sermon-research and AI application combining a structured historical corpus, retrieval tools, and carefully separated generated answers.

AI Skills Workflow Toolkit

A versioned AI workflow toolkit connecting planning, implementation, QA, tests, and pull-request review through reusable team skills.

Facilitron Works AI

AI assistance for facility operations, connecting natural-language questions with work-order counts, documentation lookup, and report preparation.

Have a related project in mind?

Tell us about your application, the people using it, and the workflow it needs to support. We can discuss a practical next step.

Discuss your project