PDF Search for Zed
An MCP server extension for Zed that retrieves relevant pieces from a PDF file
What is PDF Search for Zed?
What is PDF Search for Zed? PDF Search for Zed is a document search extension that allows users to semantically search through PDF documents and utilize the results within Zed's AI Assistant. How to use PDF Search for Zed? To use PDF Search for Zed, clone the repository, set up the Python environment, install the Dev Extension in Zed, build the search database, and then use the /pdfsearch command in Zed's AI Assistant panel to search your documents. Key features of PDF Search for Zed? Semantic search capabilities for PDF documents Integration with Zed's AI Assistant Support for multiple PDF files and directories Future improvements planned for self-contained vector storage and embeddings Use cases of PDF Search for Zed? Quickly finding relevant information in large PDF documents. Enhancing research efficiency by integrating document search with AI assistance. Supporting multiple file formats for broader usability. FAQ from PDF Search for Zed? What do I need to use this extension? You need an OpenAI API key and the uv tool installed on your system. Is there a way to use this without an OpenAI API key? Future versions plan to implement a self-contained alternative for embeddings. Can I search multiple PDFs at once? Yes! The extension supports searching through multiple PDF files and directories.
As an MCP (Model Context Protocol) server, PDF Search for Zed enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use PDF Search for Zed
To use PDF Search for Zed, clone the repository, set up the Python environment, install the Dev Extension in Zed, build the search database, and then use the /pdfsearch command in Zed's AI Assistant panel to search your documents. Key features of PDF Search for Zed? Semantic search capabilities for PDF documents Integration with Zed's AI Assistant Support for multiple PDF files and directories Future improvements planned for self-contained vector storage and embeddings Use cases of PDF Search for Zed? Quickly finding relevant information in large PDF documents. Enhancing research efficiency by integrating document search with AI assistance. Supporting multiple file formats for broader usability. FAQ from PDF Search for Zed? What do I need to use this extension? You need an OpenAI API key and the uv tool installed on your system. Is there a way to use this without an OpenAI API key? Future versions plan to implement a self-contained alternative for embeddings. Can I search multiple PDFs at once? Yes! The extension supports searching through multiple PDF files and directories.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like PDF Search for Zed can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like PDF Search for Zed provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.