# Local Documents MCP Server

> Use this tool when you need to integrate AI assistants with local document processing on Windows systems, enabling them to discover, load, and analyze various file formats, including scanned PDFs via OCR capabilities. It solves problems related to document accessibility and analysis, providing a server-based interface for AI agents to interact with local documents. This tool is ideal for use cases requiring automated document processing, data extraction, and text analysis from locally stored files.

Canonical page: https://skillsregistry.net/skills/baronco-local-docs-mcp-tool  
JSON: https://api.skillsregistry.net/v1/skills/baronco-local-docs-mcp-tool

## Description

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qfp08ap5sc)
- **Repository:** <https://github.com/Baronco/Local-Docs-MCP-Tool>

## 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": "baronco-local-docs-mcp-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/baronco-local-docs-mcp-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/baronco-local-docs-mcp-tool/pull`

---
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
