StructForge
by structforge.askqa.app in Company & people data
Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).
https://structforge.askqa.app/mcp- Tools
- 6
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 384 ms
- 500 ms slowest 5%
- Last check
- Passed
- 14 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"structforge": {
"type": "http",
"url": "https://structforge.askqa.app/mcp"
}
}
}6 tools
- structure_text
Convert messy text to strict JSON schema. Use for emails, chat logs, unstructured input. Schemas: invoice, receipt, contact, resume.
- parse_invoice
Parse invoice text into vendor, amount, due_date, line_items (with math_check).
- extract_table
Extract HTML or markdown tables into JSON rows.
- normalize_data
Normalize data object to a named schema (invoice, receipt, contact, resume).
- validate_structure
Validate JSON against a schema. Enforces field presence and types (string/number/date/array).
- get_schema
Discover schema shapes. Pass name for one schema, or omit to list all curated schemas.
Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 14 h ago | Passed | 200 | 381 ms |
| 29 h ago | Passed | 200 | 432 ms |
| 43 h ago | Passed | 200 | 401 ms |
| 2 days ago | Passed | 200 | 402 ms |
| 3 days ago | Passed | 200 | 393 ms |
Show 10 older checks
| 3 days ago | Passed | 200 | 361 ms |
| 4 days ago | Passed | 200 | 396 ms |
| 4 days ago | Passed | 200 | 383 ms |
| 5 days ago | Passed | 200 | 389 ms |
| 6 days ago | Passed | 200 | 411 ms |
| 6 days ago | Passed | 200 | 384 ms |
| 7 days ago | Passed | 200 | 377 ms |
| 7 days ago | Passed | 200 | 369 ms |
| 8 days ago | Passed | 200 | 465 ms |
| 8 days ago | Passed | 200 | 389 ms |