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2025-03-25

Eine MCP -Server -Erweiterung für ZED, die relevante Teile aus einer PDF -Datei abruft

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PDF Search for Zed

A document search extension for Zed that lets you semantically search through a PDF document and use the results in Zed's AI Assistant.

Prerequisites

This extension currently requires:

  1. An OpenAI API key (to generate embeddings)
  2. uv installed on your system

Note: While the current setup requires an OpenAI API key for generating embeddings, we plan to implement a self-contained alternative in future versions. Community feedback will help prioritize these improvements.

Quick Start

  1. Clone the repository
git clone https://github.com/freespirit/pdfsearch-zed.git
  1. Set up the Python environment for the MCP server:
cd pdfsearch-zed/pdf_rag
uv venv
uv sync
  1. Install Dev Extension in Zed

  2. Build the search db

cd /path/to/pdfsearch-zed/pdf_rag

echo "OPENAI_API_KEY=sk-..." > src/pdf_rag/.env

# This may take a couple of minutes, depending on the documents' size
# You can provide multiple files and directories as arguments.
#  - files would be chunked.
#  - a directory would be considered as if its files contains chunks.
#    E.g. they won't be further split.
uv run src/pdf_rag/rag.py build "file1.pdf" "dir1" "file2.md" ...
  1. Configure Zed
"context_servers": {
    "pdfsearch-context-server": {
        "settings": {
            "extension_path": "/path/to/pdfsearch-zed"
        }
    }
}

Usage

  1. Open Zed's AI Assistant panel
  2. Type /pdfsearch followed by your search query
  3. The extension will search the PDF and add relevant sections to the AI Assistant's context

Future Improvements

  • Self-contained vector store
  • Self-contained embeddings
  • Automated index building on first run
  • Configurable result size
  • Support for multiple PDFs
  • Optional: Additional file formats beyond PDF

Project Structure

  • pdf_rag/: Python-based MCP server implementation
  • src/: Zed extension code
  • extension.toml and Cargo.toml: Zed extension configuration files

Known Limitations

  • Manual index building is required before first use
  • Requires external services (OpenAI)

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    Reviews

    1 (1)
    Avatar
    user_5W8tNEY5
    2025-04-15

    I have been using MCP Server Implementations by AMasetti and it has significantly improved my server management experience. The setup was straightforward and the performance has been reliable. Highly recommend it for anyone needing a customizable server solution. Check it out here: https://mcp.so/server/MCP-SSE-Custom-Server/AMasetti