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Glama
mlexpertio

MCP PDF Reader

by mlexpertio
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_document_textA
Use this tool to get the content of a document given its filename.

Args:
    filename (str): The filename of the document to get.

Returns:
    str: The content of the document in Markdown format.
get_document_listB
Use this tool to get the list of documents.

Returns:
    list[str]: The list of document filenames.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 2 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: one retrieves the list of documents, and the other retrieves the content of a specific document. There is no overlap or ambiguity between them.

Naming Consistency4/5

Both tool names follow a consistent 'get_document_<action>' pattern, using snake_case and the same prefix. The minor deviation is that one uses 'text' and the other 'list', but the pattern is clear and predictable.

Tool Count4/5

For a PDF reader MCP server, two tools is minimal but still reasonable for core functionality: listing documents and reading their content. It feels slightly thin but earns its place.

Completeness3/5

The server covers basic read operations (list and get content), but lacks tools for searching within documents, getting metadata, or navigating pages. Agents have no way to target specific sections or handle structured PDFs.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources