# docs-mcp

> docs-mcp — globalion-docs-mcp. Use this tool when you need to upload and semantically search various document types, such as Word, Excel, PDF, and PowerPoint, with page-level citations. It solves problems related to document management and knowledge retrieval, allowing for efficient querying of uploaded documents. The tool accepts document uploads as input and returns relevant search results with citations, making it ideal for use cases where precise information retrieval is crucial.

Canonical page: https://skillsregistry.net/skills/globalion-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/globalion-docs-mcp

## Description

Upload documents (Word, Excel, PDF, PowerPoint) to a vector RAG store and perform semantic search with page-level citations. Queries are free; ingestion costs credits at break-even pricing.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rjr4p083w2)
- **Repository:** <https://github.com/globalion/docs-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": "globalion-docs-mcp"
    }
  }
}
```

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