MCP server

StructForge

app.askqa/structforge

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

askqa.app (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 655 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http structforge https://structforge.askqa.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.structforge]
url = "https://structforge.askqa.app/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"structforge":{"type":"http","url":"https://structforge.askqa.app/mcp"}}}

Antigravity

agy mcp add structforge https://structforge.askqa.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"structforge","server_url":"https://structforge.askqa.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"structforge","server_url":"https://structforge.askqa.app/mcp"}

Tools

• extract_table ~86 tokens
  Extract HTML or markdown tables into JSON rows.
• get_schema ~93 tokens
  Discover schema shapes. Pass name for one schema, or omit to list all curated schemas.
• normalize_data ~125 tokens
  Normalize data object to a named schema (invoice, receipt, contact, resume).
• parse_invoice ~97 tokens
  Parse invoice text into vendor, amount, due_date, line_items (with math_check).
• structure_text ~144 tokens
  Convert messy text to strict JSON schema. Use for emails, chat logs, unstructured input. Schemas: invoice, receipt, contact, resume.
• validate_structure ~110 tokens
  Validate JSON against a schema. Enforces field presence and types (string/number/date/array).

Browse

• Converting to Markdown
• Invoicing and accounting

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