A Jira-lite MCP server that guides planning-first workflows for AI-assisted development.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Beta β the core workflow is stable and tested, but the tool is new. Expect rough edges.
A Jira-lite MCP server that guides planning-first workflows for AI-assisted development β tickets as markdown files, your AI agent as the interface.
Getting real value from AI coding agents takes more than prompting β it takes shaping what they build, engineering the workflow around them, and deploying something that holds up in practice. Left to their own devices, agents jump straight to implementation. Primer-mcp makes them plan first: state why the work matters, record decisions and weigh trade-offs, break it into stories and tasks, then complete and verify each one. The tickets are plain markdown with YAML frontmatter, committed alongside your code β no external service, no database, fully visible in your repo and conveniently browsable with tools like Obsidian.
primer-mcp is designed for solo developers and small projects β one person (and their AI agent) working through a backlog. It doesn't have assignment, notifications, or multi-user coordination, and that's deliberate: it's a lightweight complement to the AI workflow, not a replacement for Jira.
Requires Python 3.12+ and uv.
Add to your MCP client config (e.g. Claude Code settings.json, Claude Desktop claude_desktop_config.json):
That's it β your MCP client downloads and runs primer-mcp automatically. You don't need to install anything manually.
Tell your AI agent what you want to build β it handles the rest. The server guides the agent through a planning-first workflow: why the work matters, decisions, stories, tasks, completion. Not sure what to do next? Ask your agent β it reads the current state and knows what comes next.
If you prefer to install primer-mcp as a standalone tool (e.g. for the list-actionable CLI command):
A typical session β you describe the work, the agent handles the planning:
Every ticket is a markdown file in primer/, committed alongside your code. The export_graph tool visualises how they connect:

Clone the repo and open assets/demo-graph.html for the interactive version β click any node to see its full ticket.
Since tickets are plain markdown with wikilinks, you can also open primer/ as an Obsidian vault for a live graph that updates as tickets change β no need to re-export.
Your AI agent calls these tools automatically β you don't need to invoke them directly. You can also ask your agent to call a specific tool if you want more control.
| Tool | What it does |
|---|---|
init_project | Create the primer/ ticket store and add the workflow section to CLAUDE.md |
| Tool | What it does |
|---|---|
plan_epic | Create an epic β the top-level container for a body of work |
record_adr | Record an architecture decision: context, decision, rejected alternatives, consequences |
create_story | Create a story under an epic β a deliverable with acceptance criteria |
create_task | Create a task under a story β a concrete unit of work with a testable outcome |
create_spike | Create a spike β a timeboxed investigation to answer a question |
| Tool | What it does |
|---|---|
start_task | Move a task to in-progress |
complete_task | Mark a task completed with notes on what was done |
verify_task | Verify a completed task with evidence (point at the commit) |
complete_spike | Close a spike with findings |
| Tool | What it does |
|---|---|
list_actionable | List what can be acted on right now, with epic context and recommendations |
get_ticket | Read a ticket by ID with its full body |
list_tickets | List tickets, filterable by type or status |
update_ticket | Amend a ticket's status, dependencies, body sections, or external refs |
| Tool | What it does |
|---|---|
export_graph | Generate a self-contained HTML file visualising the project as an interactive graph |
| Prompt | What it does |
|---|---|
plan_story | Walk through a planning conversation before creating a story |
export_jira | Export primer-mcp tickets to Jira via a Jira MCP server |
import_jira | Import a Jira epic and its hierarchy into primer-mcp |
When your project is initialized (automatically on first use, or via init_project), this section is appended to your agent config file (CLAUDE.md, AGENTS.md) to guide the agent. If you prefer to add it manually:
primer-mcp tickets map directly to Jira concepts (Epic, Story, Task, ADR). When a project outgrows local markdown files, use the export_jira prompt with any Jira MCP server to push tickets to Jira. The external_ref field on each ticket tracks the Jira key, so re-exports update existing issues instead of creating duplicates. import_jira goes the other direction. Both prompts are experimental and have not been tested end-to-end.
The primer/ directory in this repo is the project's own backlog, created with the tools in src/ and committed deliberately β a tool that tells you to commit your ticket store should commit its own. Browse it on GitHub to see what a real store looks like before installing:
primer/adrs/ β design decisions, including rejected alternatives and whyprimer/stories/ and primer/tasks/ β what is done, what is next, and verification evidenceIt is project management, not part of the package. The wheel ships src/primer_mcp only, and primer/ is excluded from the distribution. Your own primer/ is created automatically when you start planning.
MIT
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