Invoice Field Extractor
by Beike Yan (Community)
Description
Invoice Field Extractor extracts structured fields from invoice text, including invoice number, supplier, buyer, dates, line items, subtotal, tax amount, total amount, currency, billing address, payment terms, missing fields, and errors. It is read-only and does not approve invoices, pay invoices, provide tax or accounting advice, send emails, contact suppliers, or modify external systems.
Capabilities
No special capabilities listed
AI Agent Discovery
Invoice Field Extractor is indexed by Tedix as a structured ai application listing for AI assistants, search crawlers, and users comparing agent-ready apps.
- Invoice Field Extractor is categorized as AI application.
- Developer: Beike Yan.
- Connector type: AI-Powered App.
- Current connector status: Intermittent.
- Observed distribution channels: chatgpt.
- Available regions: US, FR, GB, ES, KR, IN.
Use this page to understand whether Invoice Field Extractor is relevant for ai application workflows in AI assistants.
For MCP discovery, this listing helps crawlers connect Invoice Field Extractor to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.
The canonical Tedix directory URL is https://tedix.dev/apps/invoice-field-extractor/.
Crawlable Profile
Source and availability
Tedix identifies Invoice Field Extractor from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory. Availability is reported for US, FR, GB, ES, KR, IN.
- ChatGPT app store Auth not flagged · RELEASED · US, FR, GB, ES, KR, IN
Auth, tools, and actions
Authentication: Open Access. No special capability flags are currently listed. Current MCP inventory reports 1 tools, 0 resources, and 0 prompts.
- Invoice Field Extractor · Read-only action
Use this tool when the user provides raw invoice text and needs deterministic structured invoice fields extracted for an order or finance processing workflow. The tool returns invoice number, supplier, buyer, invoice date, due date, currency, line items, subtotal, tax amount, total amount, billing address, payment terms, missing fields, source text, and errors. Do not use this tool to approve invoices, pay invoices, provide tax advice, provide accounting advice, generate bookkeeping recommendations, contact suppliers, send emails, modify orders, or write to external systems. This tool is useful when stable structured extraction is needed instead of an open-ended model response.
Verification freshness
- Catalog synced 11h ago (June 6, 2026)
- Connector checked 2d ago (June 4, 2026)
- MCP scanned 2d ago (June 4, 2026)
- Directory updated 11h ago (June 6, 2026)
Publisher Intelligence
Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.
Server Status invoice-field-extractor v1.0.0
https://task-app-hub-order-chain.onrender.com/invoice-field-extractor/mcp Last checked: 2d ago
Technical Details
Tools(1)
Showing 1 of 1 tools
| Tool | Description | Flags | Test | Last Tested | |
|---|---|---|---|---|---|
invoice_field_extractor | Use this tool when the user provides raw invoice text and needs deterministic structured invoice fields extracted for an order or finance processing workflow. The tool returns invoice number, supplier, buyer, invoice date, due date, currency, line items, subtotal, tax amount, total amount, billing address, payment terms, missing fields, source text, and errors. Do not use this tool to approve invoices, pay invoices, provide tax advice, provide accounting advice, generate bookkeeping recommendations, contact suppliers, send emails, modify orders, or write to external systems. This tool is useful when stable structured extraction is needed instead of an open-ended model response. | read-only | 100%Latency 23.2s | 2d ago |
Discoverability Score
Low
49 of 100 — how easily AI agents find your app
- Description quality20/20
- Example prompts0/20
- Keyword coverage0/15
- Tool metadata16/20
- Visual assets0/20
- Endpoint health8/10
- Data freshness15/15
How to Improve
Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.
Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.
Provide a stable HTTPS logo URL (avoid connectors://) so cards render consistently across clients.
Add at least 2 screenshots that show real workflows to increase confidence and conversion.
Technical Details
- Status
- ENABLED
- Type
- AI-Powered App
- Auth
- Open Access
- Listed on
- ChatGPT
- Added
- June 3, 2026
- Last synced
- 11h ago
- Last checked
- 2d ago
- Version
- 1.0.0
- Distribution
- Ecosystem Directory