Hive Intelligence MCP Server

A Model Context Protocol (MCP) server that connects your AI applications to Hive Intelligence's collaborative project management platform. Access tasks, projects, team activities, and workspace data directly through standardized MCP tools, enabling seamless integration of project information into your AI workflows.

Overview

The Hive Intelligence MCP server bridges the gap between your AI-powered tools and Hive's comprehensive project management ecosystem. By implementing the Model Context Protocol, this server allows AI assistants and applications to query project data, retrieve task information, and access team collaboration details in real-time. Whether you're building custom automation, enhancing AI assistants with project context, or creating intelligent workflows, this server provides the foundation for Hive-aware AI applications.

Features

Core Capabilities

• Project Access: Retrieve comprehensive project information including status, timelines, and organizational structure
• Task Management: Query task details, assignments, priorities, and completion status across your workspace
• Team Collaboration: Access team member information, activity streams, and collaboration patterns
• Workspace Insights: Pull workspace-level data to understand overall project health and resource allocation
• Real-time Data: Connect to current Hive data for up-to-date information in your AI interactions

Use Cases

• Provide AI assistants with current project context for more informed responses
• Build custom reporting and analytics tools powered by AI
• Create intelligent project summaries and status updates
• Enable natural language queries about team workload and project progress
• Integrate Hive data into broader workflow automation systems

Getting Started

Once connected, the server exposes Hive Intelligence data through standard MCP tools. Your AI application can query projects, tasks, and team information using natural language, with the server handling the translation between AI requests and Hive's data structure. The server operates as a read-only interface, ensuring your Hive data remains secure while providing valuable context to your AI workflows.