No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mmmeff · MCP Server · ★ 120
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is outline-mcp-server safe to install? View the security audit →
[!WARNING] This project is no longer maintained as Outline has launched its own official MCP server with OAuth support. You should use that. Outline MCP Server • A Model Context Protocol (MCP) server that provides tools for interacting with Outline's API, enabling AI agents to manage documents, collections, and other entities programmatically through the Outline knowledge base platform. Quick Installation Cursor One click install in Cursor: Claude Desktop You can now download a Claude Desktop extension from the releases page for quick and easy setup (just double click it). Claude Code Add the Outline MCP server to Claude Code with: Other Methods This MCP server can be added t
| Stars | 120 |
| Forks | 35 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 79.258790376611/100 |
| Open Issues | 7 |
| Last Updated | 2026-04-13 |
| Created | 2025-03-14 |
| Platforms | mcp, node |
| Est. Tokens | ~23k |
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outline-mcp-server is It's an MCP server... for Outline (the documentation platform!). It is categorized as a MCP Server with 120 GitHub stars.
outline-mcp-server is primarily written in TypeScript. It covers topics such as ai, documentation, mcp.
You can find installation instructions and usage details in the outline-mcp-server GitHub repository at github.com/mmmeff/outline-mcp-server. The project has 120 stars and 35 forks, indicating an active community.
outline-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to outline-mcp-server on Agent Skills Hub include mcp-hub, mcp-google-map, utcp-specification. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: