StructureAI MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| extract_structured_dataA | Extract structured JSON from unstructured text. Supports schemas: receipt, invoice, email, resume, contact, custom. Free tier: 10 requests. Get an API key at https://api-service-wine.vercel.app for 500 more requests ($2). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusion between tools. The single tool has a clear, distinct purpose.
The tool name 'extract_structured_data' follows a clear verb_noun pattern (snake_case) and is descriptive. With a single tool, consistency is trivially perfect.
One tool is minimal but appropriate for a focused server that handles multiple extraction schemas through a single interface. It is slightly under the typical well-scoped range but still reasonable.
The tool covers the core functionality of extracting structured data from text for several common schemas. Minor gaps like a status or usage check are not critical, and the tool is complete for its stated purpose.