A
licenseA
qualityB
maintenanceFill any PDF form with AI agents — ML field detection on scans, visual review loop, reusable templates, and native AcroForm fill via justfill.app.
14
48 PyPI
MIT
PDF Kit
Server Details
AI-powered PDF tools: fill forms via natural language
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- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- ChatGPT
- –
- Claude
- –
TDQS
B3/5.0
Scored across 1 tool
Disambiguation5/5
Only one tool exists, so there is no ambiguity or risk of selecting the wrong tool. Its stated purpose is singular and clear.
Naming Consistency5/5
The single tool name follows a readable namespaced snake_case pattern (basestation.create_autofill_job). No inconsistent conventions are present.
Tool Count2/5
A single tool is too thin for a server named 'PDF Kit', which implies a broader PDF manipulation surface. The count feels severely under-scoped.
Completeness1/5
The surface only creates an autofill job. It lacks obvious PDF Kit operations such as reading, filling, merging, extracting, listing jobs, or checking job status.
Available Tools
1 toolbasestation.create_autofill_jobCInspect
Create a PDF form filling job using AI to automatically fill out forms based on natural language instructions.
Inputs: formFile (required), instructions (required), callbackUrl.
Tool Schema Changelog
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