primer-mcp
Beta — 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 — tickets as markdown files, your AI agent as the interface.
Why
Getting real value from AI coding agents takes more than prompting — 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 — no external service, no database, fully visible in your repo and conveniently browsable with tools like Obsidian.
Quick start
Requires Python 3.12+ and uv.
Add to your MCP client config (e.g. Claude Code settings.json, Claude Desktop claude_desktop_config.json):
{
"mcpServers": {
"primer-mcp": {
"command": "uvx",
"args": ["primer-mcp"]
}
}
}
That's it — 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 — 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 — it reads the current state and knows what comes next.
Manual install (optional)
If you prefer to install primer-mcp as a standalone tool (e.g. for the list-actionable CLI command):
uv tool install primer-mcp
# Update to latest
uv tool upgrade primer-mcp
# Uninstall
uv tool uninstall primer-mcp
What it looks like
A typical session — you describe the work, the agent handles the planning:
You: I want to add user authentication.
Agent: You have EP-001: "Launch the app" — auth fits under that.
Or I can create a separate epic if this is a bigger initiative.
You: EP-001 is fine.
Agent: Before we build, we should decide on the auth approach.
A few common options:
1. JWT with refresh tokens — stateless, good for mobile/SPAs
2. Server-side sessions — simple, but needs sticky storage
3. OAuth2 only — delegates to a provider, less to maintain
...
You: Option 1 — we need mobile support.
Agent: I'll record that decision so we don't revisit it later.
→ Recorded ADR-003: "Use JWT with refresh tokens"
Rejected: server-side sessions (no mobile support),
OAuth2 only (need local accounts too)
Breaking this into stories.
→ Created ST-005: "Login and registration endpoints"
→ Created ST-006: "Token refresh and revocation"
And tasks for the first story:
→ Created TK-010: "Add /register endpoint with validation"
→ Created TK-011: "Add /login endpoint returning JWT pair"
→ Created TK-012: "Write integration tests for auth flow"
You: Let's start with TK-010.
Agent: → Started TK-010
[implements the register endpoint]
Done — added POST /register with email/password validation,
password hashing, and duplicate-email check.
→ Completed TK-010
You: Looks good, verify it.
Agent: → Verified TK-010 (evidence: "all tests pass — a1b2c3d")
TK-011 is next. Want me to continue?
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 — 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 — no need to re-export.
Tools
Your AI agent calls these tools automatically — you don't need to invoke them directly. You can also ask your agent to call a specific tool if you want more control.
Setup
| Tool | What it does |
|---|---|
init_project |
Create the primer/ ticket store and add the workflow section to CLAUDE.md |
Planning
| Tool | What it does |
|---|---|
plan_epic |
Create an epic — 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 — a deliverable with acceptance criteria |
create_task |
Create a task under a story — a concrete unit of work with a testable outcome |
create_spike |
Create a spike — a timeboxed investigation to answer a question |
Execution
| 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 |
Query
| 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 |
Export
| Tool | What it does |
|---|---|
export_graph |
Generate a self-contained HTML file visualising the project as an interactive graph |
Prompts
| 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 |
Agent instructions
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
This project uses primer-mcp for planning-first development.
Tickets are markdown files under `primer/` — they are yours to read and edit.
Prefer the tools for creating and updating them: they allocate IDs, follow the templates
and guide the workflow. Hand-edit where the tools fall short.
- Plan before code. Recommended flow: Epic -> ADR -> Story -> Task,
suggest rather than enforce — skip steps when it makes sense.
- Unsure what to do next? Call `list_actionable`.
- Completion is two-phase: `complete_task` with notes, then `verify_task`
with evidence (point at the commit, not the output). Both are
recommended — the tools will nudge you if you skip a step.
- After tickets creation or changes, offer to regenerate the project graph with `export_graph`.
- Before committing, check that completion notes on finished tickets
still reflect the actual work — update both the frontmatter
`completed_notes` and the `## Completion Notes` section if needed.
- Before implementing new work, propose a ticket and parent. Small fixes (1–2
tasks) go under the standing bug-fix story; larger efforts get their
own story. The user can decline.
Graduating to Jira
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.
This repo dogfoods itself
The primer/ directory in this repo is the project's own backlog, created with the tools in src/ and committed deliberately — 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/— design decisions, including rejected alternatives and whyprimer/stories/andprimer/tasks/— what is done, what is next, and verification evidence
It 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.
License
MIT
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