# Labradoc MCP Server

> Use this tool when you need to integrate AI assistants with document management systems, enabling features like email ingestion and task extraction. It solves problems related to automated document processing and workflow optimization, providing a seamless interface for AI agents to interact with Labradoc's features. The Labradoc MCP Server takes in AI requests and outputs integrated document management functionality through MCP tools.

Canonical page: https://skillsregistry.net/skills/zamedic-labradoc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zamedic-labradoc-mcp

## Description

Enables AI assistants to interact with Labradoc's document management, email ingestion, task extraction, and integration features through MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q32yc3lr1z)
- **Repository:** <https://github.com/zamedic/labradoc-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": "zamedic-labradoc-mcp"
    }
  }
}
```

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