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Very Basic Confluence Mcp

@kevinmeyvaerton 9 months ago
1 MIT
FreeCommunity
AI Systems
Adds a basic interface to browse a confluence space

Overview

What is Very Basic Confluence Mcp

very-basic-confluence-mcp is a reference server implementation for the Model Context Protocol (MCP) that integrates with Confluence, allowing AI assistants to interact with Confluence resources programmatically.

Use cases

Use cases include automating the retrieval of information from Confluence, enhancing AI assistant capabilities to provide context-aware responses, and facilitating seamless interaction between users and Confluence resources.

How to use

To use very-basic-confluence-mcp, install the necessary dependencies using ‘npm install’, configure the environment variables in a .env file, and start the server with ‘npm start’. Additionally, add ‘http://localhost:3000/sse’ to your Cursor AI settings.

Key features

Key features include a basic interface for browsing Confluence spaces, integration with AI assistants, and the ability to perform operations on Confluence resources programmatically.

Where to use

very-basic-confluence-mcp can be used in environments where Confluence is utilized for documentation, project management, or knowledge sharing, particularly in teams that leverage AI tools.

Content

TINY CONFLUENCE MCP (Model Context Protocol)

A reference server implementation for the Model Context Protocol (MCP) integrated with Confluence. This enables AI assistants to interact with Confluence resources and perform operations programmatically.

Quick Start

  1. Install dependencies:
npm install
  1. Configure environment:
cp .env.example .env

Required environment variables:

  • CONFLUENCE_BASE_URL: Your Confluence instance URL
  • CONFLUENCE_USERNAME: Your Confluence username (email)
  • CONFLUENCE_API_TOKEN: Your Confluence API token (get it from https://id.atlassian.com/manage-profile/security/api-tokens)
  • CONFLUENCE_DEFAULT_SPACE_KEY: Your default Confluence space key
  • PORT: Server port (default: 3000)
  1. Start the server:
npm start

Add to Cursor

Add http://localhost:3000/sse to your Cursor AI settings.

License

MIT

Tools

No tools

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