Mcptix is an MCP server and local issue tracking system designed to manage tasks, bugs, and feature roadmaps in development projects. It connects local task databases to AI assistants, enabling software engineers and AI coding agents to collaborate within a shared project backlog. Built for tools like Claude Desktop, Roo, and Cline, Mcptix enables AI agents to create, inspect, update, and prioritize tickets directly through Model Context Protocol calls. The system features a dedicated agent_context field that acts as an external memory bank, allowing large language models to store granular implementation plans, file references, line numbers, and architectural notes in Markdown format. By offloading complex project context to local disk storage rather than relying entirely on context windows, developers can reduce API token overhead while coordinating work across separate planning and execution agents. In addition to its MCP interface, Mcptix provides a web-based Kanban interface to monitor task statuses, review complexity metrics, and post comments across the development lifecycle.
Category: CRM, ERP & E-commerce
Tags: issue-tracking, task-management, ticketing, workflow
bash npm install @ownlytics/mcptix 2. Initialize the project directory and database structure: bash npx mcptix init 3. Start the local UI and API server: bash npx mcptix start 4. Add the server to your MCP client configuration (such as Claude Desktop or Roo) under mcpServers using absolute paths: json { "mcpServers": { "mcptix": { "command": "/absolute/path/to/node", "args": ["/absolute/path/to/node_modules/@ownlytics/mcptix/dist/mcp/index.js"], "env": { "MCPTIX_HOME_DIR": "/absolute/path/to/your/project/.mcptix", "HOME": "/home/your-username" }, "disabled": false, "alwaysAllow": [] } } }Part of MCP Servers
Mcptix is an issue tracking and ticket management application designed for software development workflows. It integrates with AI assistants via the Model Context Protocol, allowing models to create, manage, and read task tickets with dedicated planning fields.
You can install Mcptix by running npm install @ownlytics/mcptix inside your project. After installation, initialize the configuration with npx mcptix init, launch the UI using npx mcptix start, and configure the MCP client with your local paths.
Mcptix works with any assistant or client that supports the Model Context Protocol over standard I/O. The documentation provides explicit setup configurations for Claude Desktop, Roo, and Cline.
The agent_context field is a dedicated Markdown property on tickets where AI models store structured planning data, file paths, line references, and execution details. This offloads contextual state from the prompt window into local storage.
Mcptix is distributed under the Business Source License 1.1 (BSL 1.1), as indicated by its project repository documentation and metadata badges.