What are the prerequisites?
Python 3.10+, an Outline account with API access, and an Outline API key from your account settings.
@Vortiago
Basic information
A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-outline": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
".[dev]"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that enables AI assistants (like Claude) to interact with Outline document services, bridging natural language and Outline's document management capabilities.
Install with Python 3.10+, configure with an Outline API key and optional API URL in a .env file, then run via mcp dev, start_server.sh, or install in Claude Desktop.
Python 3.10+, an Outline account with API access, and an Outline API key from your account settings.
Yes, you can set `OUTLINE_API_URL` to your own instance (e.g., `https://your-outline-instance.example.com/api`).
Create a `.env` file with `OUTLINE_API_KEY` (required) and optionally `OUTLINE_API_URL` (defaults to cloud-hosted Outline).

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
Hindsight: Agent Memory That Learns
Comments