mcp-outline and plane-mcp-server

Both tools are independent Model Context Protocol (MCP) servers, but Vortiago/mcp-outline is specifically designed for Outline documentation services, while makeplane/plane-mcp-server is Plane's official server, making them competitors if a user needs an MCP server and one fits their existing ecosystem/documentation better, or independent choices if their specific functionalities don't overlap with user needs.

mcp-outline
65
Established
plane-mcp-server
59
Established
Maintenance 10/25
Adoption 9/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 110
Forks: 36
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 168
Forks: 73
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About mcp-outline

Vortiago/mcp-outline

A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.

This project helps teams using Outline documentation by connecting their AI assistants directly to Outline. It allows AI tools to search, read, create, edit, and manage documents, collections, and comments within Outline. Anyone who uses Outline for team knowledge management and wants to leverage AI to interact with that content will find this useful.

knowledge-management team-collaboration AI-assistant-integration documentation-workflow

About plane-mcp-server

makeplane/plane-mcp-server

Plane's Official Model Context Protocol Server 🔌 ⌨️ 🔥

This server helps integrate Plane, a project management platform, with AI agents. It allows AI agents to read and modify Plane data like projects, tasks, cycles, and modules. The output is automated updates and insights within your Plane workspace, making it useful for project managers, product owners, and development team leads who want to automate or enhance their project workflows using AI.

project-management workflow-automation task-management product-development team-collaboration

Scores updated daily from GitHub, PyPI, and npm data. How scores work