# document-mcp

> Use this tool when you need to efficiently manage and update component documentation, saving tokens by making precise partial updates. It solves the problem of redundant rewrites, reducing the token count by up to 75%. Ideal for AI agents handling large documentation sets, it takes in outdated documents and outputs updated versions with minimal token usage.

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

## Description

Enables AI agents to efficiently manage and update component documentation with precise partial updates, saving up to 75% tokens compared to full rewrites.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w4dfwbxrzt)
- **Repository:** <https://github.com/TianyiLi/document-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": "tianyili-document-mcp"
    }
  }
}
```

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