PDF Kit
Server Details
AI-powered PDF tools: fill forms via natural language
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
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Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 2.9/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined and distinct by default.
The single tool name follows a consistent verb_noun pattern (create_autofill_job), and there are no other tools to create inconsistency. The naming is straightforward and predictable.
A single tool is too few for a server named 'PDF Kit', which implies a broader set of PDF-related functionalities. This feels thin and under-scoped for the apparent domain.
The server name suggests a toolkit for PDF operations, but only one tool for creating autofill jobs is provided. There are significant gaps, such as tools for reading, editing, merging, or converting PDFs, which are typical for PDF toolkits.
Available Tools
1 toolbasestation.create_autofill_jobInspect
Create a PDF form filling job using AI to automatically fill out forms based on natural language instructions.
| Name | Required | Description | Default |
|---|---|---|---|
| formFile | Yes | Base64-encoded PDF file to fill | |
| callbackUrl | No | Optional callback URL for job completion notification | |
| instructions | Yes | Natural language instructions for how to fill the form |
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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