Mentioned as a potential future integration for connecting with external project management tools to enhance product development lifecycle tracking
Used for creating progress charts, burn-down charts, velocity trends, and other data visualizations in the web UI
Mentioned as a potential future integration for connecting with external project management tools to enhance product development lifecycle tracking
Powers the web UI framework for the project dashboard, progress tracking views, and interactive project management interface
Provides the component framework for building the web interface including project dashboards, sprint boards, and progress tracking views
Provides persistent storage for project data, phase information, sprint tracking, and activity logs
MCP PDL Server
Product Development Lifecycle server with 7-phase project management, roadmap planning, and role-based collaboration.
Quick Start
Installation
Dashboard Access
Option 1: Manual Install
Option 2: Auto-Install with Environment Variable
The dashboard will be available at: file://~/.claude/data/pdl.html
MCP Configuration
Add to your MCP settings:
Dashboard Features
Live Project Overview: View all PDL projects across repositories
7-Phase Progress Tracking: Visual progress through Discovery → Growth
Sprint Management: Track sprints within roadmap phases
Task Visualization: See task status and assignments
Real-time Stats: Project counts, active sprints, completion metrics
Project Filtering: Focus on specific projects
Offline Capable: Works without server connection (shows cached data)
Architecture
Repository-Centric Design (v2.0)
One repository = One project (using Claude's project ID)
Centralized database:
~/.claude/data/pdl.db
(SQLite)Project identification: Auto-detected from repository path
Cross-project dashboard: Single view of all projects
Structure Hierarchy
Core Functions
Repository Operations
initialize_repository
- Auto-detect and initialize current repoget_status
- Get current repository PDL statuslist_repositories
- List all repositories with PDL tracking
Roadmap Management
create_roadmap
- Define vision, phases, milestonesget_roadmap
- Retrieve complete roadmap with status
Sprint Management
create_sprint
- Create sprint with 7-phase PDL cycleupdate_sprint_pdl
- Update specific PDL phase within sprintadvance_pdl_cycle
- Progress through PDL phases
Task Management
create_task
- Create tasks within PDL phasesupdate_task
- Update task statusbulk_update_task_statuses
- Update multiple tasks
Advanced Manipulation
insert_roadmap_phase
- Insert phases at specific positionsdelete_roadmap_phase
- Remove phases with sprint reassignmentreorder_roadmap_phases
- Reorganize phase ordermove_sprint
- Move sprints between phasesmove_task
- Move tasks between sprints/phases
The 7 PDL Phases & Role Leaders
Discovery & Ideation → Product Manager
User research, market analysis, ideation
Output: Problem validation, initial concepts
Definition & Scoping → Product Manager
Requirements, technical feasibility, resources
Output: PRD, scope document, success metrics
Design & Prototyping → Product Designer
UX/UI design, prototypes, user testing
Output: Design specs, interactive prototypes
Development & Implementation → Engineering Manager
Coding, integration, technical documentation
Output: Working code, technical docs
Testing & Quality Assurance → QA Engineers
Test planning, execution, performance testing
Output: Test results, bug reports, quality metrics
Launch & Deployment → Engineering Manager
Release prep, deployment, monitoring setup
Output: Deployed product, release notes
Post-Launch: Growth & Iteration → Product Manager
Metrics analysis, user feedback, optimization
Output: Growth metrics, iteration plans
Usage Patterns
Starting a Project
Daily Updates
Dashboard Workflow
Auto-install: Set
DASHBOARD=1
in MCP configAccess: Open
file://~/.claude/data/pdl.html
Monitor: Real-time view of all projects
Filter: Focus on specific projects/phases
Track: Visual progress through 7-phase cycles
Files
Dashboard
dashboard/index.html
- Static HTML dashboard with Alpine.jsscripts/setup-dashboard.js
- Manual dashboard installationscripts/auto-setup-dashboard.js
- Auto-install when DASHBOARD=1
Core Server
src/server.ts
- Main MCP server with auto dashboard setupsrc/storage/database.js
- Centralized SQLite databasesrc/handlers/repository-handlers.js
- Repository-centric operations
Build Output
dist/server.js
- Compiled servermcp-server.js
- Entry point wrapper
Development
Legacy Compatibility
The server maintains backward compatibility with v1.0 project-based functions:
initialize_project
→initialize_repository
get_phase
→ Current sprint's PDL phaseupdate_phase
→update_sprint_pdl
list_projects
→list_repositories
This allows existing agent workflows to continue working while migrating to the repository-centric v2.0 design.
Overview (Legacy Documentation)
Core Concepts
Product Development Lifecycle (PDL) Phases
The server manages 7 distinct phases of product development:
Discovery & Ideation - Problem validation and idea generation
Definition & Scoping - Requirements and planning
Design & Prototyping - UX/UI design and testing
Development & Implementation - Code construction
Testing & Quality Assurance - Quality verification
Launch & Deployment - Release management
Post-Launch: Growth & Iteration - Performance monitoring and improvement
Multi-Project Support
Projects are identified by unique project names (keys)
Each project maintains independent phase states and sprint data
Concurrent project tracking with isolated data contexts
Role-Based Agent Profiles
Each role has specific responsibilities and phase involvement:
Product Manager - Vision, strategy, and coordination
Product Designer - User experience and interface design
Engineering Manager - Technical leadership and resource management
Software Engineers - Implementation and technical execution (must know to follow best coding practices)
QA Engineers - Quality assurance and testing
Marketing Manager - Go-to-market strategy and positioning
Sales & Support - Customer feedback and frontline insights
Agent Format
MCP Server Specification
Server Name
mcp_pdl
Core Functions
1. get_phase
Retrieves the current phase information for a project.
Parameters:
project_name
(string, required): Unique project identifierinclude_sprints
(boolean, optional): Include sprint details in response
Returns:
2. update_phase
Updates phase status and details for a project.
Parameters:
project_name
(string, required): Unique project identifierphase_number
(integer, optional): Phase to update (1-7), defaults to currentstatus
(string, optional): "not_started" | "in_progress" | "completed" | "blocked"completion_percentage
(integer, optional): 0-100notes
(string, optional): Update notes or blockerstransition_to_next
(boolean, optional): Auto-transition to next phase if current is completed
Returns:
3. track_progress
Records and retrieves progress updates for sprints within phases.
Parameters:
project_name
(string, required): Unique project identifieraction
(string, required): "create_sprint" | "update_sprint" | "get_sprints" | "get_timeline"sprint_data
(object, conditional): Required for create/update actionssprint_name
(string): Sprint identifierphase_number
(integer): Associated phase (1-7)tasks
(array): Task list with statusvelocity
(integer): Story points or task completion rateblockers
(array): Current impediments
Returns:
4. initialize_project
Creates a new project with PDL phase structure.
Parameters:
project_name
(string, required): Unique project identifierdescription
(string, optional): Project descriptionteam_composition
(object, optional): Role assignmentsstart_phase
(integer, optional): Starting phase (default: 1)
Returns:
Data Storage Structure
Project Schema
Phase Schema
Sprint Schema
Web UI Specification
Dashboard View
Project List: Grid/table showing all active projects
Project name, current phase, progress bar, last updated
Quick status indicators (on-track, at-risk, blocked)
Click to drill into project details
Project Detail View
Phase Timeline: Visual representation of 7 phases
Current phase highlighted
Progress indicators for each phase
Phase transition history
Sprint Board: Current and recent sprints
Sprint velocity charts
Task completion status
Blocker alerts
Activity Log: Chronological updates
Phase transitions
Major milestones
Team updates
Progress Tracking View
Burn-down Charts: Sprint and phase level
Velocity Trends: Historical sprint velocity
Phase Completion Matrix: Cross-project phase status
Team Utilization: Role involvement across projects
Interaction Features
Quick Actions:
Update phase status
Create new sprint
Log blocker
Transition to next phase
Filters:
By project status
By phase
By role involvement
By date range
Export Options:
Project reports (PDF/CSV)
Timeline visualizations
Progress metrics
Implementation Requirements
Technology Stack
Server: Node.js/TypeScript MCP server
Storage: SQLite for persistence (or JSON file storage for simplicity)
UI Framework: React/Next.js for web interface
Visualization: Chart.js or D3.js for progress charts
API: RESTful endpoints for UI communication
File Structure
Usage Instructions for Claude Code
Initialize the MCP server structure with TypeScript support
Create agent profiles in
.claude/agents/
directory for all 7 roles based on the provided templatesImplement core functions following the MCP protocol specification
Set up data persistence using SQLite or JSON file storage
Build the web UI with project dashboard and progress tracking
Create the .claude/CLAUDE.md file with detailed instructions for AI agents on how to:
Initialize projects
Track phase progression
Manage sprints
Collaborate based on role profiles
Interpret progress metrics
Handle phase transitions
Resolve blockers
CLAUDE.md Specification
The .claude/CLAUDE.md
file must serve as the primary instruction set that all agents inherit. It should include:
MCP Protocol Interface Instructions
How to call each mcp__pdl__ function with proper syntax
When to use each function in the context of PDL phases
Error handling and retry logic for failed calls
Required parameters vs optional parameters for each function
Documentation Standards
Template for project documentation updates
Required fields for activity logs
Format for recording blockers and resolutions
Sprint retrospective documentation format
Phase transition documentation requirements
Behavioral Guidelines
Conciseness: Communicate efficiently without sacrificing clarity
Accuracy: Never report false completions or fabricate data
Verification: Always check actual status before reporting
Documentation: Log all significant actions and decisions
Collaboration: Reference other agents' profiles when coordinating
Project CLAUDE.md Updates
Each project should maintain its own CLAUDE.md log containing:
Important documents and their locations
Key decisions and rationale
Milestone achievements
Blocker resolutions
Team changes or role reassignments
Lessons learned per phase
Success Criteria
Multi-project support with isolated contexts
Full CRUD operations for phases and sprints
Role-based agent profiles accessible via MCP
Persistent storage of project state
Web UI for visual progress tracking
Comprehensive activity logging
Phase transition automation
Sprint velocity tracking
Blocker management system
Export capabilities for reporting
Extension Possibilities
Integration with external project management tools (Jira, Asana)
Automated phase transition recommendations
AI-powered blocker resolution suggestions
Team performance analytics
Resource allocation optimization
Risk assessment based on phase progress
Stakeholder notification system
Template library for common project types
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
Enables AI agents to track and manage product development projects through structured 7-phase lifecycles with sprint tracking, role-based collaboration, and multi-project support. Provides phase management, progress tracking, and team coordination tools for complete product development workflows.
- Quick Start
- Dashboard Features
- Architecture
- Core Functions
- The 7 PDL Phases & Role Leaders
- Usage Patterns
- Files
- Development
- Legacy Compatibility
- Overview (Legacy Documentation)
- Core Concepts
- MCP Server Specification
- Data Storage Structure
- Web UI Specification
- Implementation Requirements
- Usage Instructions for Claude Code
- CLAUDE.md Specification
- Success Criteria
- Extension Possibilities