PDF Search
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/freespirit/pdfsearch-zed
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve PDF Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.