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Foobara MCP Connector

MCP Server

Expose Foobara commands via Model Context Protocol

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Updated Aug 22, 2025

About

A Ruby gem that turns Foobara commands into an MCP server, enabling tools like Claude to invoke them over stdio or other protocols. It simplifies building AI‑powered interfaces for business logic.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Foobara MCP Connector

The Foobara MCP Connector is a lightweight bridge that exposes any Foobara command as an official Model Context Protocol (MCP) service. It solves the common pain point of integrating custom Ruby logic into AI‑assistant workflows without writing bespoke adapters. By turning a simple Ruby command into an MCP endpoint, developers can let Claude or other AI assistants invoke their domain logic directly from natural language prompts.

At its core, the connector launches an MCP server (currently supporting stdio) that registers one or more Foobara commands. Once the server is running, an AI client can discover it through the standard workflow or by referencing a configuration file. The AI then sends structured input to the server, which forwards it to the underlying Foobara command. The result is streamed back to the assistant in real time, allowing for seamless interaction between human intent and backend logic.

Key capabilities include:

  • Command registration – Any Foobara command, from simple calculations to complex entity‑manipulation workflows, can be exposed with a single line of code.
  • Entity support – Commands that operate on Foobara entities (e.g., CRUD operations) can be exposed, enabling AI assistants to query or modify persistent data through natural language.
  • Stdio server – The connector runs a lightweight stdio MCP server, making it trivial to start an endpoint locally without additional infrastructure.
  • Extensibility – The connector can be extended to support other transport mechanisms (e.g., HTTP) with minimal changes.

Real‑world use cases abound: a data analyst might expose a command that aggregates sales figures; a devops engineer could publish a routine that restarts a service; or a product manager could query the latest inventory levels. In each scenario, the AI assistant acts as an intuitive front‑end, translating user questions into precise command calls and returning actionable results.

By standardizing the interface between Ruby logic and AI assistants, Foobara MCP Connector removes friction from building conversational applications. Developers can focus on crafting robust business logic while the connector handles protocol compliance, serialization, and execution orchestration—making AI‑powered tooling both powerful and maintainable.