Which integrations are available for this server?

Connects to Atlassian Confluence API to provide custom MCP functionality for interacting with Confluence content and spaces Integrates with Ollama to leverage local language models (like tinyllama) for processing and generating content

How do I use Confluence MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Confluence MCP Server search for documentation about API authentication" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP Server

A server application for integrating with Atlassian Confluence using Python.

Features

Connects to Atlassian Confluence API
Custom endpoints for MCP functionality

Related MCP server: MCP Atlassian

Setup

Clone the repository:
git clone https://github.com/LakshmiGayathri19/MCP.git cd MCP
Install dependencies:
pip install -r requirements.txt
Configure your environment variables (do not hardcode secrets in your code):
ATLASSIAN_API_TOKEN=your_token_here

Usage

Install Ollama (if not done)

Download Ollama and install it.

Pull a model (e.g., tinyllama)

ollama pull tinyllama

Run the server in one terminal tab:

python server.py

Run the client in another terminal tab:

python client.py

Security

Do not commit secrets or API tokens to the repository.
If you accidentally commit a secret, remove it from your code and git history.
See GitHub’s guide for help.