PDF Kit
AI-powered PDF tools: fill forms via natural language
Should I use this
Quality & Safety
B
Findings (2)
- LOWin basestation.create_autofill_job
- LOWin basestation.create_autofill_job
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~109Tokens (tool definitions)
~1.0 KBTypical response size
Minimal attention impact (0.09% 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": {
"pdfkit": {
"command": "npx",
"args": [
"pdfkit-mcp"
]
}
}
}Runnable packages
npmpdfkit-mcp
1.0.7stdioRemote endpoints
https://mcp.hellobasestation.com/mcpstreamable-httphttps://mcp.hellobasestation.com/mcpsseWhat it can do
Tool inventory
Tools (1)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟡basestation.create_autofill_job(instructions, formFile, callbackUrl)
Create a PDF form filling job using AI to automatically fill out forms based on natural language instructions.
Input Schema
{
"type": "object",
"properties": {
"instructions": {
"type": "string",
"description": "Natural language instructions for how to fill the form"
},
"formFile": {
"type": "string",
"description": "Base64-encoded PDF file to fill"
},
"callbackUrl": {
"type": "string",
"description": "Optional callback URL for job completion notification"
}
},
"required": [
"instructions",
"formFile"
]
}Community
Evidence
Recent observations
verifiedversion not recorded1 tools
failed observationversion not recorded—
verifiedversion not recorded1 tools