What is an MCP server for FileMaker?
An AI assistant on its own knows nothing about your business. It cannot see your customers, your orders or your stock, because they live in your FileMaker file. An MCP server for FileMaker is the bridge: it gives the assistant a set of tools it can call to look things up in your file, and nothing more.
MCP in one paragraph
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to outside tools and data. An MCP server offers a list of tools, each with a name, a description and the inputs it takes. An MCP client, such as Claude Code or Claude Desktop, reads that list and calls the tools when a question needs them. Because it is a standard, one server works with any assistant that supports MCP.
What the server does for FileMaker
A FileMaker file is not easy for an assistant to use directly. It has table occurrences that repeat the same table, fields that only exist for layouts or calculations, and columns nobody ever filled in. Handed a raw connection, an assistant has to guess which of those matter.
An MCP server for FileMaker settles that in advance. Ailimu, for example:
- reads the real schema through FileMaker's OData API: tables, field types, keys, relationships, row counts and your own field comments;
- turns each table you choose into a few tools: one to fetch a record, one to search, one to describe what the table holds;
- lets you choose each field: whether it can be returned, searched, or not seen at all;
- can expose FileMaker scripts as tools, when you want the assistant to run them.
The assistant then asks for "invoices where payment status is Overdue" rather than writing queries against a schema it does not understand.
Why use one rather than exporting data
- Answers come from live data. Nothing is copied or synced, so there is no stale export to keep up to date.
- Access is precise. The assistant can only use the tools you published, limited to the fields you chose, and signs in as a FileMaker account whose privilege set still applies.
- It works where people already are. Anyone using Claude can ask questions in plain language, without learning layouts, finds or reports.
What it does not do
It is not a chat interface: you bring the assistant. It is not a reporting tool or a data warehouse: it answers questions from live data, one request at a time. And when the assistant answers, it reads the rows its tools return. See what leaves your network.