Project management MCP Server for Claude Code — track tasks, visualize progress, manage decisions
Project description
pm-server
Project management MCP Server for Claude Code.
Track tasks, visualize progress, record decisions — all through natural language in your Claude Code session.
> 進捗は?
✓ Phase 1 "Backend API": 60% complete (12/20 tasks)
- 3 tasks in progress, 1 blocked
- Velocity: 8 tasks/week (↑ trending up)
> 次にやること
1. [P0] MYAPP-014: Add user authentication endpoint
2. [P1] MYAPP-015: Implement rate limiting
3. [P1] MYAPP-018: Write integration tests
> MYAPP-014 に着手
✓ MYAPP-014 → in_progress
Features
- 22 MCP tools — task CRUD, status, blockers, velocity, dashboard, ADR, session memory, and more
- Session memory — SQLite + FTS5 full-text search. Memories persist across sessions and link to tasks/decisions
- Cross-project search — search memories across all projects via a global index
- Natural language — say "進捗は?" or "what's next?" instead of memorizing commands
- Zero configuration —
pip install+pm-server install, then just say "PM初期化して" - Multi-project — manage all your projects from a global registry with cross-project dashboards
- Git-friendly — plain YAML files in
.pm/directory, trackable withgit diff - Non-invasive — adds only a
.pm/directory to your project.rm -rf .pm/to remove completely
Quick Start
Install (once)
pip install pm-server
pm-server install # Registers MCP server in Claude Code
# Restart Claude Code
Initialize a project
# In Claude Code, cd to your project directory
> PM初期化して
✓ .pm/ created
✓ Registered in global registry
✓ Detected: name=my-app, version=1.2.0 (from package.json)
pm-server automatically detects project info from package.json, pyproject.toml, Cargo.toml, .git/config, and README.md.
Use it
| You say | What happens |
|---|---|
進捗は? / status |
Show project progress summary |
次にやること / what's next |
Recommend next tasks by priority & dependencies |
タスク追加:○○を実装 |
Add a new task (auto-numbered) |
MYAPP-003 完了 |
Mark task as done |
ブロッカーある? |
List blocked tasks |
ダッシュボード見せて |
Generate HTML dashboard (Chart.js, dark theme) |
この設計にした理由を記録 |
Record an Architecture Decision Record (ADR) |
全プロジェクトの状態 |
Cross-project portfolio view |
MCP Tools (22 tools)
Project Management
| Tool | Description |
|---|---|
pm_init |
Create .pm/, register in global registry, auto-detect project info |
pm_status |
Phase progress, task summary, blockers, velocity |
pm_tasks |
List tasks with filters (status / phase / priority / tag) |
pm_add_task |
Add task with auto-numbered ID (e.g., MYAPP-001) |
pm_update_task |
Update status, priority, notes, blocked_by |
pm_next |
Recommend next tasks (excludes blocked / unmet dependencies) |
pm_blockers |
List blocked tasks across projects |
Records
| Tool | Description |
|---|---|
pm_log |
Daily log entry (progress / decision / blocker / note / milestone) |
pm_add_decision |
Add ADR with context, decision, and consequences |
Analysis
| Tool | Description |
|---|---|
pm_velocity |
Weekly velocity + trend (up / down / flat) |
pm_risks |
Auto-detect risks: overdue, stale, long-blocked tasks |
Visualization
| Tool | Description |
|---|---|
pm_dashboard |
HTML dashboard (single project or portfolio view) |
Discovery
| Tool | Description |
|---|---|
pm_discover |
Scan directories for .pm/ projects and auto-register |
pm_cleanup |
Remove invalid paths from registry |
pm_list |
List all registered projects |
Memory (Session Continuity)
| Tool | Description |
|---|---|
pm_remember |
Save a memory tied to the current session (observation / insight / lesson) |
pm_recall |
Recall memories — FTS5 search, by task, or cross-project |
pm_session_summary |
Save / get / list session summaries for continuity |
pm_memory_search |
Advanced search with type, tag, and task filters |
pm_memory_stats |
Memory DB statistics (total, by type, DB size) |
pm_memory_cleanup |
Clean up old memories (dry-run supported) |
Maintenance
| Tool | Description |
|---|---|
pm_update_claudemd |
Update PM Server rules section in CLAUDE.md to latest version |
Data Structure
pm-server stores task data as plain YAML and memories in SQLite:
your-project/
└── .pm/
├── project.yaml # Project metadata
├── tasks.yaml # Tasks with status, priority, dependencies
├── decisions.yaml # Architecture Decision Records (ADR)
├── milestones.yaml # Milestone definitions
├── risks.yaml # Risks and blockers
├── memory.db # Session memories (SQLite + FTS5)
└── daily/
└── 2026-04-08.yaml # Auto-generated daily log
~/.pm/
├── registry.yaml # Global project index
└── memory.db # Cross-project memory index
YAML files are human-readable and hand-editable. Memory DB is the source of truth for session data; the global index at ~/.pm/memory.db enables cross-project search.
CLAUDE.md Integration
Add this to your project's CLAUDE.md for automatic PM behavior (or run pm-server update-claudemd):
## PM Server 自動行動ルール(必ず従うこと)
### セッション開始時(最初の応答の前に必ず実行)
1. pm_status を MCP ツールとして実行し、現在の進捗を表示する
2. pm_next で次に着手すべきタスクを3件表示する
3. pm_recall で前回セッションの文脈を取得する
4. ブロッカーや期限超過があれば警告する
### タスクに着手する前
1. 該当タスクを pm_update_task で in_progress に変更する
### 作業中に重要な発見・判断があった時
1. pm_remember で記憶を保存する(関連タスクIDがあれば task_id で紐付け)
### タスク完了時(コードが動作確認できたら)
1. pm_update_task で done に変更する
2. pm_log に完了内容を記録する
3. 次の推薦タスクを pm_next で表示する
4. アトミックコミットを作成する
### 設計上の意思決定が発生した時
1. ユーザーに「ADRとして記録しますか?」と確認する
2. 承認されたら pm_add_decision で保存する
### コーディングセッション終了時
1. 進行中のタスクの状態を確認し、必要に応じて更新する
2. pm_log にセッションの成果を記録する
3. pm_session_summary で要約を保存する
4. 未コミットの変更があればコミットする
CLI Commands
pm-server install # Register MCP server in Claude Code
pm-server uninstall # Unregister MCP server
pm-server serve # Start MCP server (called by Claude Code automatically)
pm-server discover . # Scan for projects with .pm/ directories
pm-server status # Show project status from terminal
pm-server context-inject # Print session context to stdout (for hook integration)
pm-server migrate # Migrate from pm-agent (rename transition)
pm-server update-claudemd # Update PM Server rules in CLAUDE.md
Architecture
Claude Code Session
│
├── CLAUDE.md auto-action rules
│
└── MCP Server (stdio)
└── pm-server serve
│
├── server.py → 22 MCP tools (FastMCP)
├── models.py → Pydantic v2 data models
├── storage.py → YAML read/write
├── memory.py → SQLite memory store + FTS5 search
├── recall.py → Session context builder (token-budgeted)
├── context.py → CLI context injection
├── velocity.py → Velocity calculation & risk detection
├── dashboard.py → HTML/text dashboard (Jinja2)
├── discovery.py → Auto-detect project info
└── installer.py → claude mcp add wrapper
│
├── project-A/.pm/ (YAML + memory.db)
├── project-B/.pm/ (YAML + memory.db)
└── ~/.pm/registry.yaml + memory.db
Migrating from pm-agent
If you were using the earlier pm-agent package:
pip uninstall pm-agent
pip install pm-server
pm-server migrate # Switches MCP registration from pm-agent to pm-server
# Restart Claude Code
The migrate command will:
- Remove the old
pm-agentMCP registration - Register
pm-serveras the new MCP server - Verify
~/.pm/registry.yamlintegrity - Warn about any
CLAUDE.mdfiles that referencepm-agent
Your .pm/ data directories are unchanged — no data migration needed.
Requirements
- Python 3.11+
- Claude Code (with MCP support)
Dependencies
- FastMCP — MCP server framework
- Pydantic v2 — data validation
- PyYAML — data persistence
- Click — CLI framework
- Jinja2 — dashboard templates
Development
git clone https://github.com/flc-design/pm-server.git
cd pm-server
pip install -e ".[dev]"
pytest # 237 tests
ruff check src/ # Lint
ruff format src/ # Format
Design Principles
- Zero Configuration —
pip install+ one command, done - Auto-everything — detection, registration, and inference are fully automatic
- Git-friendly — plain text YAML, trackable with
git diff - Human-readable — safe to hand-edit, won't break
- AI-native — formats that Claude Code can naturally read and write
- Non-invasive — only adds
.pm/, never modifies your project
License
MIT — Shinichi Nakazato / FLC design co., ltd.
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