MCP MeasureMCP Measure

index observed

StructForge

Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).

Should I use this

Quality & Safety

A
Description quality
92%
Schema completeness
95%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'extract_table' description lacks action verbin extract_table

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~526Tokens (tool definitions)
~714 BTypical response size
Minimal attention impact (0.41% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "structforge": {
      "url": "https://structforge.askqa.app/mcp"
    }
  }
}

Remote endpoints

https://structforge.askqa.app/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪structure_text(text, schema_name)

Convert messy text to strict JSON schema. Use for emails, chat logs, unstructured input. Schemas: invoice, receipt, contact, resume.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Raw text to structure"
    },
    "schema_name": {
      "type": "string",
      "default": "generic",
      "description": "Target schema: invoice, receipt, contact, resume"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢parse_invoice(text)

Parse invoice text into vendor, amount, due_date, line_items (with math_check).

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Invoice text or PDF extract"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_table(html)

Extract HTML or markdown tables into JSON rows.

Input Schema

{
  "type": "object",
  "properties": {
    "html": {
      "type": "string",
      "description": "HTML or table content"
    }
  },
  "required": [
    "html"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪normalize_data(data, target_schema)

Normalize data object to a named schema (invoice, receipt, contact, resume).

Input Schema

{
  "type": "object",
  "properties": {
    "data": {
      "type": "object",
      "additionalProperties": {},
      "description": "Input data object"
    },
    "target_schema": {
      "type": "string",
      "description": "Target schema name"
    }
  },
  "required": [
    "data",
    "target_schema"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪validate_structure(data, schema_name)

Validate JSON against a schema. Enforces field presence and types (string/number/date/array).

Input Schema

{
  "type": "object",
  "properties": {
    "data": {
      "type": "object",
      "additionalProperties": {}
    },
    "schema_name": {
      "type": "string"
    }
  },
  "required": [
    "data",
    "schema_name"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_schema(name)

Discover schema shapes. Pass name for one schema, or omit to list all curated schemas.

Input Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Schema name; omit to list all"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Recommended Prompts

retrieve_data
Get details about [item] from StructForge
Expected tools: get_schema
fetch_info
Fetch [information type] using StructForge
Expected tools: get_schema

Community

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Evidence

Recent observations

verifiedversion not recorded6 tools
verifiedversion not recorded6 tools