# PDF Search

> Use this tool when you need to semantically search PDF documents and integrate results with AI assistance. It solves problems of quickly finding specific information within large PDF files, particularly useful for researchers and professionals who frequently work with PDFs. The tool takes PDF documents as input and returns relevant search results through Zed's interface, allowing for context-aware access to document contents.

Canonical page: https://skillsregistry.net/skills/freespirit-pdfsearch-zed  
JSON: https://api.skillsregistry.net/v1/skills/freespirit-pdfsearch-zed

## Description

This PDF Search extension for Zed, developed by stano, enables semantic searching of PDF documents and integrates results with Zed's AI Assistant. It uses a Qdrant vector database for storing document embeddings and OpenAI's API for generating them. The extension implements a RAG-style approach, allowing users to query PDF content through Zed's interface. Built with Rust and Python, it offers a unique combination of Zed integration and semantic PDF search capabilities. This tool is particularly useful for researchers, students, or professionals who frequently work with PDF documents and need quick, context-aware access to their contents within their coding environment.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/freespirit-pdfsearch-zed)
- **Repository:** <https://github.com/freespirit/pdfsearch-zed>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "freespirit-pdfsearch-zed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/freespirit-pdfsearch-zed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/freespirit-pdfsearch-zed/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt