# MCP Document Server

> Use this tool when you need to efficiently deliver project documentation to AI agents on-demand, optimizing token usage and streamlining access to relevant information. The MCP Document Server solves problems related to document retrieval, search, and security, providing a secure interface for loading context only when needed. It is ideal for use cases where AI agents require quick access to specific project documents, supporting features like document listing and keyword search.

Canonical page: https://skillsregistry.net/skills/onoda4480-document-server-mcp  
JSON: https://api.skillsregistry.net/v1/skills/onoda4480-document-server-mcp

## Description

Efficiently delivers project documentation to AI agents like Claude on-demand, optimizing token usage by loading context only when needed. Supports document retrieval, listing, and keyword search with security features.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ywvr50dkeu)
- **Repository:** <https://github.com/onoda4480/Document-Server-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": "onoda4480-document-server-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/onoda4480-document-server-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/onoda4480-document-server-mcp/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
