MCP Server Overview
The MCP Server, an integral part of the UBOS Asset Marketplace for MCP Servers, is a groundbreaking innovation designed to streamline the integration of AI models with external data sources. This server operates as a confluence context server, providing a seamless interface to enhance productivity and data accessibility for enterprises utilizing AI-driven solutions.
Key Features
Confluence Integration: The MCP Server is specifically designed to integrate with Confluence, a widely-used collaboration tool. By utilizing slash commands via the Zed Editor, users can effortlessly add page contents as context to their AI assistants, thereby enhancing the AI’s ability to provide relevant and timely information.
Early Development with Future Expansion: While currently in its early development stages, the MCP Server is set to evolve with the addition of more prompts, resources, and tools. This continuous improvement ensures that the server remains at the forefront of AI and data integration technologies.
Ease of Installation and Use: Installing the MCP Server is straightforward, requiring a simple command line entry. Once installed, users can configure it using environment variables like API_KEY, DOMAIN_NAME, and EMAIL, ensuring secure and personalized access to their Confluence accounts.
Prompts for Enhanced Functionality: The server provides specific prompts such as
confluence-pageandblog-post, allowing users to retrieve Confluence pages or blog posts by their IDs. This feature significantly enhances the efficiency and effectiveness of data retrieval processes.MCP Inspector Compatibility: The MCP Server is compatible with the MCP Inspector, a tool that facilitates interaction with the server. This compatibility ensures that users can easily manage and monitor server activities, further enhancing the user experience.
Use Cases
Enterprise Data Management: Organizations can leverage the MCP Server to streamline data management processes. By integrating AI models with Confluence, businesses can ensure that their data is efficiently organized and easily accessible.
Enhanced Collaboration: Teams using Confluence for collaboration can benefit from the MCP Server’s ability to provide AI-driven insights and context, thereby improving decision-making and project outcomes.
AI-Driven Content Retrieval: The server’s prompts enable users to quickly retrieve specific content, such as Confluence pages or blog posts, enhancing the speed and accuracy of information retrieval.
UBOS Platform
UBOS is a full-stack AI Agent Development Platform dedicated to bringing AI Agents to every business department. The platform facilitates the orchestration of AI Agents, connecting them with enterprise data and enabling the creation of custom AI Agents using LLM models and Multi-Agent Systems. With UBOS, businesses can harness the power of AI to drive innovation and efficiency across their operations.
Confluence Context Server
Project Details
- mouhamadalmounayar/mcp-confluence
- mcp-confluence
- MIT License
- Last Updated: 4/14/2025
Recomended MCP Servers
Model Context Protocol based AI Agent that runs a browser from Claude desktop
MCP Server to retrieve documentation for a package
An MCP server implementation for accessing Obsidian via local REST API
A server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to...
Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support,...
LSD Model Context Protocol
MCP server for interacting with esa API
AniList MCP server for accessing anime and manga data
Ragie Model Context Protocol Server
An MCP server implementing the think tool for Claude





