What is MCP Enabled PDF Reader?
MCP Enabled PDF Reader is a server tool that utilizes the Model Context Protocol (MCP) to read a single PDF document. It is designed to work with MCP-enabled AI tools like Claude Desktop and LibreChat with Ollama.
How to use MCP Enabled PDF Reader?
To use the MCP PDF Reader, you need to install Claude Desktop or another MCP-enabled AI tool, followed by Python 3.10 or higher, and the 'uv' package. After installation, configure the MCP server settings in the 'claude_desktop_config.json' file to enable the PDF reading functionality.
Key features of MCP Enabled PDF Reader?
- Reads PDF documents without a maximum file size limit (token limit applies).
- Compatible with various MCP-enabled AI tools.
- Easy installation and configuration process.
Use cases of MCP Enabled PDF Reader?
- Reading and extracting information from academic papers in PDF format.
- Analyzing legal documents stored as PDFs.
- Assisting in research by reading and summarizing PDF reports.
FAQ from MCP Enabled PDF Reader?
- What is the maximum size of the PDF file that can be read?
There is no maximum size limit for the PDF file; however, the number of tokens will be the limiting factor.
- Is it necessary to use Claude Desktop?
While Claude Desktop is recommended, any MCP-enabled AI tool can be used to run the MCP PDF Reader.
- Can I contribute to the project?
Yes! Contributions are welcome, and you can submit issues and pull requests through the repository.