Confluence MCP 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
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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 MCPInstall dependencies:
pip install -r requirements.txtConfigure 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.pyRun the client in another terminal tab:
python client.pySecurity
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.
License
MIT
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