MCP-PDF2MD
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MISTRAL_API_KEY | Yes | Your Mistral AI API key for PDF content extraction |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| convert_pdf_urlA | |
| convert_pdf_fileA | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| default_prompt | Create default tool usage prompt |
| pdf_prompt | Create PDF processing prompt |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_api_status | Get API status information |
| get_usage_help | Get tool usage help information |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one handles local PDF files, while the other handles PDFs from URLs. There is no overlap in functionality, and the descriptions explicitly differentiate between file-based and URL-based inputs, making misselection unlikely.
Both tools follow a consistent verb_noun pattern with 'convert_pdf_' as the prefix, followed by 'file' or 'url'. This predictable naming scheme makes it easy to understand their roles and maintain consistency across the tool set.
With only 2 tools, the server feels thin for a PDF conversion domain, as it lacks operations like batch processing, configuration adjustments, or error handling tools. While the core conversion is covered, the limited scope may restrict agent workflows, placing it in the borderline range.
The server covers the basic conversion functionality for both local files and URLs, but there are notable gaps such as no tools for managing output directories, handling conversion errors, or providing status updates. This incomplete surface could lead to agent failures in more complex scenarios.