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 Vortiago · MCP Server · ★ 155
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-outline safe to install? View the security audit →
MCP Outline Server ## 📢 Official Outline MCP Server Available Outline now ships an official MCP server — we recommend using it. Read the docs. A Model Context Protocol server for interacting with Outline document management. Features Document operations: Search, read, create, edit, archive documents Collections: List, create, manage document hierarchies Comments: Add and view threaded comments Backlinks: Find documents referencing a specific document MCP Resources: Direct content access via URIs (outline://document/{id}, outline://collection/{id}, etc.) Automatic rate limiting: Transparent handling of API limits with retry logic Prerequisites Before using this MCP server, you need: An Outline account (cloud hosted or self
| Stars | 155 |
| Forks | 46 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.6490372901497/100 |
| Open Issues | 11 |
| Last Updated | 2026-08-05 |
| Created | 2025-03-22 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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mcp-outline is A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.. It is categorized as a MCP Server with 155 GitHub stars.
mcp-outline is primarily written in Python. It covers topics such as fastmcp, mcp, mcp-server.
You can find installation instructions and usage details in the mcp-outline GitHub repository at github.com/Vortiago/mcp-outline. The project has 155 stars and 46 forks, indicating an active community.
mcp-outline is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-outline on Agent Skills Hub include maverick-mcp, mcp-google-map, mcpstore. 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: