What does MCP Enabled PDF Reader do?
It provides a Model Context Protocol server that exposes the `read_pdf` tool, allowing MCP‑enabled AI assistants to read and process the content of a single PDF file.
@karateboss
Basic information
Model Context Protocol (MCP) server to read a single pdf document
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-pdf-reader": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/karateboss/mcp_pdf_reader@main",
"mcp_pdf_reader"
]
}
}
}Tool list not available yet
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MCP Enabled PDF Reader is a Model Context Protocol (MCP) server that exposes a single tool called read_pdf to read a single PDF document. It is designed for use with MCP‑enabled AI tools such as Claude Desktop and LibreChat with Ollama.
Install Python 3.10 or higher and the uv package manager. Then add the provided JSON configuration to your claude_desktop_config.json to register the server. The tool is invoked by the MCP client when the AI agent calls read_pdf.
read_pdfclaude_desktop_config.json using uvxIt provides a Model Context Protocol server that exposes the `read_pdf` tool, allowing MCP‑enabled AI assistants to read and process the content of a single PDF file.
You need Python 3.10 or higher, the `uv` package manager, and an MCP‑enabled client such as Claude Desktop or LibreChat with Ollama.
There is no explicit maximum PDF file size, but the number of tokens passed to the model will be the limiting factor.
The server has been tested on Claude Desktop and LibreChat with Ollama.
Check the project’s documentation, submit issues or pull requests through the GitHub repository, or contact Safe Swiss Cloud.
The SSE version of the MCP service is modified from the Filesystem MCP server
MCP server for working with PDF files
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