# pdf-search-mcp

> Use this tool when you need to perform full-text searches across large collections of PDF documents, and require features like offline indexing, ranked results, and snippet previews to efficiently locate relevant information. It solves problems related to document discovery, research, and information retrieval, providing a robust search interface for PDF archives. Ideal for use cases where fast and accurate searching of PDF content is crucial, such as academic research, document management, or knowledge base construction.

Canonical page: https://skillsregistry.net/skills/renvk-pdf-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/renvk-pdf-search-mcp

## Description

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qyr0eik1m4)
- **Repository:** <https://github.com/renvk/pdf-search-mcp>

## 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": "renvk-pdf-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/renvk-pdf-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/renvk-pdf-search-mcp/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