# odt-mcp-server

> odt-mcp-server — peterheick-odt-mcp-server. Use this tool when you need to analyze and extract data from OpenDocument Text (.odt) files, as it enables AI assistants to read and process ODT documents through the Model Context Protocol (MCP) server, providing a standardized interface for input and output of document data. It solves problems related to document analysis, data extraction, and text processing, making it ideal for use cases involving ODT file handling. The tool accepts ODT files as input and outputs extracted data, making it a valuable resource for AI-driven document processing tasks.

Canonical page: https://skillsregistry.net/skills/peterheick-odt-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/peterheick-odt-mcp-server

## Description

A Model Context Protocol (MCP) server for handling OpenDocument Text (.odt) files, enabling AI assistants to read, analyze, and extract data from ODT documents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cjqxk5tmli)
- **Repository:** <https://github.com/PeterHeick/odt-mcp-server>

## 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": "peterheick-odt-mcp-server"
    }
  }
}
```

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