An MCP server extension for Zed that retrieves relevant pieces from a PDF file
Documentation
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.git2. Set up the Python environment for the MCP server:
cd pdfsearch-zed/pdf_rag
uv venv
uv sync3. Install Dev Extension in Zed
4. 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" ...5. 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
- [x] Self-contained vector store
- [ ] Self-contained embeddings
- [ ] Automated index building on first run
- [ ] Configurable result size
- [x] Support for multiple PDFs
- [x] Optional: Additional file formats beyond PDF
Project Structure
pdf_rag/: Python-based MCP server implementationsrc/: Zed extension codeextension.tomlandCargo.toml: Zed extension configuration files
Known Limitations
- Manual index building is required before first use
- Requires external services (OpenAI)
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