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Plan AI-assisted development with markdown tickets and structured work hierarchies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "primer-mcp" yet — see the docs or source repo.
Based on this feature request, plan the implementation as epics, stories, and tasks, and output it in a primer-mcp-friendly markdown ticket structure: support team members uploading, cropping, and saving profile avatars.
A draft set of markdown tickets organized into epics, stories, and tasks for development planning.
Generate an architecture decision record for whether the file upload service should be separated into its own module, including context, alternatives, decision, and consequences, in a format suitable for primer-mcp.
A clear architecture decision record draft that can be used as an ADR during development.
Organize 'refactor the authentication system' into a set of markdown tickets, using YAML frontmatter for title, status, and hierarchy, and include a description for each task.
A set of markdown tickets with YAML frontmatter, ready to be managed in this MCP tool.
Developers can structure epics, stories, and tasks before letting AI help with coding, reducing missed requirements and clarifying execution order.
Teams that do not want a full Jira-style process can manage tickets and status with markdown files and YAML frontmatter.
During development, teams can use it to document architecture decisions and track technical choices and their consequences.
It is a Jira-lite MCP server for AI-assisted development. It manages tickets as markdown files with YAML frontmatter and guides agents through epics, stories, tasks, and architecture decision records.
Based on the description, it is 'Jira-lite' and focuses on a lighter planning-first workflow with markdown-based tickets. For more detailed differences, see the source repository.
The provided information only says it is an MCP server and does not include installation steps, runtime details, or key requirements. See the source repository for prerequisites.
Enable AI assistants to search, create, and manage JIRA issues with JQL.
Use AI to query, create, and manage Jira issues through Jira CLI.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.
Analyze Jira issues and sprint health with Agile-focused summaries and recommendations.
Manage Jira issues and GitHub workflows directly from the IDE.
Scan Laravel projects, generate structured tickets, and export planning data as JSON.