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FileMaker MCP Server

MCP Server

Expose FileMaker scripts as interactive tools via Gradio

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Updated Aug 7, 2025

About

A Model Context Protocol server that dynamically turns FileMaker scripts into tools, offering a Gradio web UI for easy interaction and testing.

Capabilities

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

FileMaker MCP Server

The FileMaker MCP Server turns a legacy FileMaker database into a modern, AI‑ready interface by exposing every script in the specified layout as an autonomous tool. Instead of manually crafting API endpoints, developers can simply add or modify FileMaker scripts and the server will automatically surface them to any MCP‑compliant AI assistant. This eliminates the need for custom integration code, allowing rapid iteration and seamless extension of existing workflows.

At its core, the server runs a lightweight MCP listener that translates the tool call format expected by assistants such as Claude into FileMaker’s command. Each script is wrapped with a JSON schema that describes its arguments and return type, making it discoverable by the assistant’s tooling system. The accompanying Gradio UI offers a visual playground: users can manually trigger scripts, inspect payloads, and view results in real time. This dual‑mode operation is particularly useful during development, enabling quick debugging without leaving the browser.

Key capabilities include:

  • Dynamic Tool Discovery – Scripts are discovered on startup, so any new or removed script is immediately reflected in the assistant’s tool list.
  • Argument Validation – Input parameters are validated against the script’s schema, preventing runtime errors and improving reliability.
  • Result Serialization – Script outputs are converted to JSON, ensuring consistent data structures for downstream processing.
  • Secure Credential Management – Credentials are supplied via environment variables, keeping sensitive information out of source control.

Typical use cases involve automating routine data entry, generating reports, or orchestrating multi‑step business processes directly from an AI assistant. For example, a sales representative could ask the assistant to “create a new customer record and send a welcome email,” which would translate into two FileMaker scripts executed in sequence. In manufacturing, an engineer could trigger a maintenance script that updates inventory and logs the activity for audit purposes.

Because the server bridges MCP with an existing FileMaker environment, it offers a unique advantage: legacy data and logic are preserved while gaining the flexibility of conversational AI. Developers who already own FileMaker assets can therefore unlock new interaction paradigms—voice, chat, or even custom UI plugins—without rewriting their data layer. This positions the FileMaker MCP Server as a powerful, low‑friction gateway for integrating traditional databases into the future of AI‑driven applications.