Outcome Backcasting MCP Server

Reverse-engineer your path from desired futures to present actions

Author

Derek M D Chan — Creator and maintainer
Co-developed with Claude (Anthropic)

---

Overview

The Outcome Backcasting MCP Server exposes strategic planning capabilities to Claude through the Model Context Protocol (MCP). This allows Claude to help users plan complex projects by working backwards from desired outcomes to identify concrete steps, dependencies, and resources needed.

Unlike traditional forward planning tools, this MCP server enables Claude to:

• Start with the end in mind - Help users define their desired future state
• Work backwards - Identify what needs to happen to reach that state
• Create actionable roadmaps - Break down the path into concrete, sequenced steps
• Manage dependencies - Understand and track what must happen before other things
• Monitor progress - Track advancement and suggest adjustments dynamically

What is MCP?

Model Context Protocol (MCP) is an open standard that enables AI assistants like Claude to securely connect with external tools and data sources. This backcasting server implements MCP, allowing Claude to:

• Access and manipulate backcasting plans on your behalf
• Analyze project dependencies and critical paths
• Provide strategic planning guidance with real data
• Track progress across complex, multi-phase projects

---

Key Concepts

What is Backcasting?

Backcasting is a planning methodology that:

1. Starts with the end in mind - Define your desired future state
2. Works backwards - Identify what needs to happen to reach that state
3. Creates actionable steps - Break down the path into concrete actions
4. Identifies dependencies - Understand what must happen before other things
5. Monitors progress - Track advancement and adjust the plan dynamically

When Claude Uses Backcasting

Through this MCP server, Claude can help you with:

• Complex projects with multiple phases and dependencies
• Long-term goals (6 months to several years)
• Strategic initiatives requiring coordination of many elements
• Constraint-heavy scenarios where certain requirements must be met
• Innovation projects where the path isn't immediately obvious

---

MCP Server Capabilities

Core Tools Exposed to Claude

When you connect this MCP server to Claude, it gains access to these planning capabilities:

Plan Management Tools

• create_plan - Create a new backcasting plan with outcome definition
• load_plan - Load an existing plan from storage
• get_plan_overview - Retrieve high-level summary and progress metrics
• list_plans - Show all available saved plans

Step Management Tools

• add_step - Add a new step to the plan with full details
• update_step_status - Mark steps as completed, in progress, blocked, etc.
• delete_step - Remove a step (dependencies automatically cleaned up)
• get_step_details - Retrieve comprehensive information about a specific step

View Tools

• list_all_steps - Get all steps in the plan with status indicators
• get_next_actions - Show steps ready to work on (dependencies met)
• get_critical_path - Identify the longest dependency chain
• get_blocked_steps - Find steps that cannot proceed and why

Analysis Tools

• analyze_plan - Get comprehensive analysis including:
  • Progress metrics (% complete, breakdown by status)
  • Risk analysis (high-priority risks identified)
  • Resource summary (grouped by type)
  • Optimization suggestions (parallelization, bottlenecks)
  • Current blockers (what's preventing progress)

Export Tools

• export_plan - Export to multiple formats:
  • Markdown (.md) - Rich formatting with emoji status indicators
  • Text (.txt) - Simple plain text for universal compatibility
  • CSV (.csv) - Spreadsheet format for Excel/Google Sheets

---

Data Structures

Step Types

The MCP server recognizes these step types:

• Milestone 🎯 - Major checkpoints marking significant progress
• Action ⚡ - Concrete tasks to be executed
• Decision 🤔 - Choice points requiring evaluation
• Dependency 🔗 - External requirements or prerequisites
• Risk Mitigation 🛡️ - Steps to reduce or eliminate risks

Priority Levels

• Critical 🔴 - Must be done, no alternatives
• High 🟠 - Very important, high impact
• Medium 🟡 - Important but not urgent
• Low ⚪ - Nice to have, low priority

Status Tracking

• Not Started - Step hasn't been begun yet
• In Progress - Currently being worked on
• Completed - Successfully finished
• Blocked - Cannot proceed due to dependencies
• Skipped - Decided not to pursue this step

Resource Types

Each step can specify required resources:

• Time - Duration estimates
• Money - Budget requirements
• Skill - Expertise needed
• Tool - Software, hardware, or equipment
• Person - Specific individuals or roles

---

Installation

Prerequisites

• Python 3.7 or higher
• Linux environment (tested on openSUSE)
• Claude Desktop app OR Claude Code CLI (or both!)

Which Claude Client Should You Use?

Use Case	Recommended Client
Strategic planning & brainstorming	Claude Desktop (GUI)
Visual roadmaps & artifacts	Claude Desktop (GUI)
General project planning	Claude Desktop (GUI)
Planning during coding sessions	Claude Code (CLI)
Automated plan updates	Claude Code (CLI)
Technical project management	Either (personal preference)

Both clients can use the same MCP server! You can configure it for both and switch between them as needed.

Setup

1. Navigate to the installation directory:

   cd /home/panda/Documents/PythonScripts/OutcomeBackcasting/
   

2. Make scripts executable:

   chmod +x *.sh *.py
   

3. Configure your Claude client to use this MCP server:

   For Claude Desktop:

   Add to your Claude Desktop config file:

   • macOS/Linux: ~/.config/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

   {
     "mcpServers": {
       "outcome-backcasting": {
         "command": "/home/panda/Documents/PythonScripts/OutcomeBackcasting/run_backcast_mcp.sh"
       }
     }
   }
   

   For Claude Code:

   Add to your Claude Code config file: ~/.claude/config.json

   {
     "mcpServers": {
       "outcome-backcasting": {
         "command": "/home/panda/Documents/PythonScripts/OutcomeBackcasting/run_backcast_mcp.sh"
       }
     }
   }
   

   Note: On Windows, adjust the path to use Windows-style paths:

   {
     "mcpServers": {
       "outcome-backcasting": {
         "command": "C:\\Users\\YourName\\Documents\\PythonScripts\\OutcomeBackcasting\\run_backcast_mcp.sh"
       }
     }
   }
   

4. Restart your Claude client to load the MCP server

   • Claude Desktop: Fully quit and reopen the app
   • Claude Code: Restart your terminal session or run claude configure

5. Verify connection by asking Claude:

   "Can you help me create a backcasting plan?"
   

   Claude should acknowledge it has access to backcasting tools.

---

Usage Through Claude

How to Interact

Instead of using a command-line interface directly, you interact with the backcasting engine through Claude. Simply talk to Claude naturally about your project planning needs.

The experience differs slightly between clients:

Claude Desktop (GUI) Usage

Best for: Strategic planning, brainstorming, visual roadmaps

You: "I want to create a backcasting plan for launching a SaaS product in 9 months."

Claude: Creates an artifact with your plan overview, asks clarifying questions interactively, and displays visual progress indicators.

Benefits:

• ✅ Rich artifacts with formatted roadmaps
• ✅ Easy to review and reference plans visually
• ✅ Better for collaborative planning sessions
• ✅ Natural conversation flow with context

Claude Code (CLI) Usage

Best for: Technical planning, automation, coding workflows

$ claude "Create a backcasting plan for refactoring the authentication system"

Claude: Generates the plan, saves it to a file, and shows next actions in terminal-friendly format.

Benefits:

• ✅ Integrate planning into development workflow
• ✅ Automate plan updates via scripts
• ✅ Quick status checks during coding
• ✅ Works in headless/server environments

Example Conversations

Creating a New Plan

You: "I want to create a backcasting plan for launching a SaaS product in 9 months."

Claude: Uses the create_plan tool to set up your project, then asks clarifying questions about:

• What success looks like
• Specific success criteria
• Budget and timeline constraints
• Key phases and milestones

Viewing Progress

You: "What's the current status of my product launch plan?"

Claude: Uses get_plan_overview and analyze_plan tools to show:

• Overall completion percentage
• Steps in progress vs completed
• Critical risks
• Next recommended actions

Getting Next Actions

You: "What should I work on next?"

Claude: Uses get_next_actions tool to show steps where:

• All dependencies are complete
• Status is "not started" or "in progress"
• Prioritized by importance

Identifying Bottlenecks

You: "What's blocking my progress?"

Claude: Uses get_blocked_steps and get_critical_path tools to identify:

• Steps marked as blocked
• Which dependencies are causing blocks
• The longest dependency chain affecting timeline

---

Example Workflow Through Claude

Scenario: Launching a New Product

You: "I need to plan the launch of an MVP for a SaaS analytics platform in 6 months."

Claude: "I'll help you create a backcasting plan. Let me ask a few questions to define your outcome..."

(Claude uses create_plan tool)

Claude: "What does success look like for this launch?"

You: "100 beta users signed up, core features working, payment processing integrated, security audit passed."

Claude: "Got it. I'll generate a reverse roadmap from that outcome. Based on your 6-month timeline, I'm creating 5 major phases working backwards from launch..."

(Claude uses add_step tool multiple times)

Generated Plan Structure:

[Phase 5] Public Launch
  → Beta testing complete
  → All critical bugs fixed
  → Marketing materials ready

[Phase 4] Beta Testing
  → 50 beta users onboarded
  → Feedback loop established
  → Rapid iteration process

[Phase 3] Core Features Complete
  → Dashboard system working
  → Data pipeline stable
  → Alert system functional

[Phase 2] Technical Foundation
  → Database architecture finalized
  → API endpoints created
  → Authentication system built

[Phase 1] Project Setup
  → Tech stack chosen
  → Development environment configured
  → Team assembled

You: "What should I start working on?"

Claude: (uses get_next_actions tool) "Based on your dependencies, here are the steps you can start immediately..."

You: "I just completed the tech stack selection. Update the plan."

Claude: (uses update_step_status tool) "Great! I've marked that step complete. This unlocks 3 new actions you can now start..."

---

MCP Tool Reference

Plan Management

create_plan

Parameters:

• title (string) - Name of the outcome
• description (string) - Detailed description of desired end state
• success_criteria (array) - List of measurable success indicators
• constraints (array) - Budget, time, resource limitations
• timeline (string) - Expected duration (e.g., "9 months")

Returns: Plan ID and confirmation

load_plan

Parameters:

• plan_name (string) - Name of saved plan file

Returns: Complete plan object with all steps

get_plan_overview

Parameters:

• plan_id (string) - ID of the plan

Returns:

• Outcome details
• Progress metrics
• Step count breakdown
• Timeline information

Step Operations

add_step

Parameters:

• plan_id (string) - Plan to add step to
• title (string) - Step name
• description (string) - Detailed information
• type (enum) - milestone, action, decision, dependency, risk_mitigation
• priority (enum) - critical, high, medium, low
• dependencies (array) - IDs of prerequisite steps
• resources (array) - Required resources
• risks (array) - Potential risks
• success_criteria (array) - How to know step is complete

Returns: New step ID

update_step_status

Parameters:

• plan_id (string)
• step_id (integer)
• status (enum) - not_started, in_progress, completed, blocked, skipped

Returns: Updated step object

get_step_details

Parameters:

• plan_id (string)
• step_id (integer)

Returns: Complete step information including dependencies, resources, risks

View Operations

list_all_steps

Parameters:

• plan_id (string)

Returns: Array of all steps with status indicators

get_next_actions

Parameters:

• plan_id (string)

Returns: Steps that are:

• Not completed/skipped
• All dependencies met
• Sorted by priority

get_critical_path

Parameters:

• plan_id (string)

Returns: Longest dependency chain through the plan (bottleneck path)

get_blocked_steps

Parameters:

• plan_id (string)

Returns: Steps marked as blocked with dependency details

Analysis

analyze_plan

Parameters:

• plan_id (string)

Returns:

• Progress metrics: % complete, status breakdown
• Risk analysis: High-priority risks
• Resource summary: Grouped by type
• Optimization suggestions: Parallelization opportunities, bottlenecks
• Current blockers: What's preventing progress

Export

export_plan

Parameters:

• plan_id (string)
• format (enum) - markdown, text, csv
• output_path (string) - Where to save file

Returns: File path and success confirmation

---

Advanced Features

Dependency Management

Claude can help you manage complex dependencies automatically:

• Prevents invalid states - Can't complete a step if dependencies aren't done
• Shows ready actions - Identifies what's unblocked and ready to start
• Tracks blockers - Explains why certain steps can't proceed
• Calculates critical path - Finds the bottleneck chain

Example:

You: "I want to deploy to production."

Claude: (checks dependencies) "That step requires the security audit (Step 4) and beta testing (Step 3) to be complete first. Currently, only project setup (Step 1) is done. You need to finish Steps 2, 3, and 4 before deployment."

Resource Tracking

Each step tracks multiple resource types:

Example:

You: "What resources do I need for the mobile app development step?"

Claude: (uses get_step_details)

Step: "Build Mobile App"
Resources Required:
  - Person: 2 Mobile Developers
  - Tool: React Native license
  - Time: 8 weeks full-time
  - Money: $40,000 contractor budget
  - Skill: iOS/Android expertise required

Risk Management

Identify and plan for potential problems:

Example:

You: "What are the biggest risks in my database migration step?"

Claude: (analyzes risks)

Step: "Migrate to New Database"
High-Priority Risk:
  Description: Data loss during migration
  Probability: Medium
  Impact: High
  Mitigation: Create full backup, test on staging first, 
              have rollback plan ready

Analysis Tools

Progress Metrics

Claude can show you:

• Overall completion percentage
• Breakdown by status
• Velocity trends over time

Critical Path Analysis

• Identifies longest dependency chain
• Highlights steps that will delay the entire project if delayed
• Helps prioritize work on bottlenecks

Optimization Suggestions

Claude can identify:

• Independent steps that could be parallelized
• Bottleneck steps with many dependents
• Steps without clear success criteria
• High risks without mitigation plans

Blocker Detection

• Shows steps marked as "blocked"
• Lists which incomplete dependencies are causing the block
• Helps focus effort on unblocking critical work

---

Data Storage

File Format

Plans are stored as JSON files in:

/home/panda/Documents/PythonScripts/OutcomeBackcasting/data/

Structure Example

{
  "outcome": {
    "title": "Launch SaaS Product",
    "description": "Successfully launch MVP to market",
    "success_criteria": [
      "100 beta users signed up",
      "Core features working",
      "Payment processing integrated"
    ],
    "constraints": [
      "Budget: $50,000",
      "Timeline: 6 months",
      "Team: 3 developers"
    ],
    "timeline": "6 months"
  },
  "steps": [
    {
      "id": 1,
      "title": "Project Setup",
      "description": "Initialize project infrastructure",
      "type": "action",
      "status": "completed",
      "priority": "critical",
      "dependencies": [],
      "resources_needed": [
        {
          "type": "person",
          "description": "Project Manager",
          "quantity": 1
        }
      ],
      "risks": [],
      "success_criteria": [
        "Repository created",
        "Team onboarded"
      ]
    }
  ]
}

---

Tips for Effective Use Through Claude

Defining Good Outcomes

Effective prompts to Claude:

✅ DO:

• "I want to launch a product with 100 users, $50k revenue, and positive reviews in 9 months"
• "Help me plan to get promoted to senior engineer by meeting these criteria..."
• "Create a plan to lose 30 pounds in 6 months through diet and exercise"

❌ DON'T:

• "I want to be successful" (too vague)
• "Help me with my project" (no specifics)
• "Make a plan for everything" (no scope)

Working with Claude on Steps

Good requests:

✅ "Add a step for building the authentication system with dependencies on the database setup" ✅ "Show me what's ready to work on that's high priority" ✅ "What risks should I be aware of in the deployment phase?"

Natural conversation:

You: "I just hired a designer."

Claude: "Great! That unblocks the UI design step. Would you like me to update that step's status to 'in progress'?"

Regular Check-ins

Weekly:

• "What's my progress on the product launch plan?"
• "What should I focus on this week?"
• "Are there any new blockers?"

Monthly:

• "Analyze my plan and give me optimization suggestions"
• "What's on the critical path that could delay the project?"
• "Do I need to adjust my timeline?"

---

Troubleshooting

Common Issues

"I don't see the backcasting tools in Claude Desktop"

• Verify MCP server is configured in claude_desktop_config.json
• Check config file syntax (valid JSON)
• Restart Claude Desktop completely (Quit, not just close window)
• Check that the server script has execute permissions: chmod +x run_backcast_mcp.sh
• Look for errors in Claude Desktop logs

"I don't see the backcasting tools in Claude Code"

• Verify MCP server is configured in ~/.claude/config.json
• Run claude configure to reload config
• Check that the server script path is absolute, not relative
• Test the server script manually: ./run_backcast_mcp.sh
• Check Claude Code logs with --verbose flag

"Claude says it can't access my plan"

• Ask Claude to list available plans: "What backcasting plans do I have?"
• Verify the plan file exists in the data directory: ls /home/panda/Documents/PythonScripts/OutcomeBackcasting/data/
• Check file permissions on the data directory
• Try loading by exact filename: "Load my plan called 'product-launch.json'"

"MCP server keeps disconnecting"

• Check that run_backcast_mcp.sh has proper error handling
• Verify Python environment is accessible
• Test server independently before connecting to Claude
• Check system logs for Python errors

"Dependencies seem wrong"

• Ask Claude to show the critical path
• Request a dependency graph visualization
• Have Claude check for circular dependencies

"Plan isn't updating"

• Confirm Claude is using the correct plan ID
• Ask Claude to reload the plan from disk
• Check file permissions on the data directory
• Verify no other process is locking the JSON file

"Config file location unclear"

For Claude Desktop:

• macOS: ~/.config/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

For Claude Code:

• All platforms: ~/.claude/config.json

Getting Help Through Claude

Simply ask Claude naturally:

• "How does this backcasting system work?"
• "Can you explain what the critical path means?"
• "Show me an example of a good project plan"
• "What information do you need to create a plan for me?"

---

Architecture

MCP Server Components

OutcomeBackcasting/
├── backcast_engine.py       # Core data models and business logic
├── backcast_mcp_server.py   # MCP protocol implementation
├── run_backcast_mcp.sh      # Server launcher for Claude
├── data/                    # JSON plan storage
│   ├── example-plan.json
│   └── my-project.json
└── README.md               # This file

How MCP Integration Works

1. Claude Desktop connects to the MCP server on startup
2. User asks Claude a planning-related question
3. Claude decides which MCP tool to call based on context
4. MCP server executes the requested operation
5. Results return to Claude
6. Claude presents information naturally to the user

Data Flow

User ←→ Claude (MCP Client)
           ↕
    MCP Protocol (stdio)
           ↕
   Backcast MCP Server
           ↕
    Engine (backcast_engine.py)
           ↕
    File System (JSON storage)

---

Design Philosophy

Based on concept #9 from ai_plugin_concepts.md:

Key Principles

1. Outcome-first thinking - Always start with the end goal
2. Reverse planning - Work backwards to find the path
3. Constraint awareness - Acknowledge limitations upfront
4. Dynamic adjustment - Plans evolve as work progresses
5. Dependency clarity - Make relationships explicit
6. Risk consciousness - Identify problems before they occur
7. AI-assisted planning - Leverage Claude's reasoning with real data

MCP-Specific Benefits

• Contextual awareness - Claude sees your entire conversation history
• Natural interaction - No need to learn command syntax
• Intelligent defaults - Claude suggests reasonable values
• Proactive analysis - Claude can notice patterns and offer insights
• Multi-plan management - Claude can compare and contrast different plans

---

Future Enhancements

Planned Features

• Visualization generation - Gantt charts, dependency graphs
• Timeline predictions - Monte Carlo simulation for completion dates
• Template library - Pre-built plans for common goals
• Collaborative features - Multi-user plan editing
• Integration APIs - Connect with Asana, Jira, Notion
• Notification system - Alerts for blockers and deadlines
• Version control - Track plan changes over time
• AI-powered suggestions - Use LLM to generate realistic step sequences

Integration Opportunities

With other MCP servers:

• Calendar - Auto-schedule steps based on dependencies
• File system - Link steps to relevant documents
• Project management - Sync with external tools
• Time tracking - Compare estimated vs actual time
• Communication - Notify team via Slack/Discord

---

Contributing

This MCP server is designed for personal use but can be extended:

• Core engine: backcast_engine.py
• MCP implementation: backcast_mcp_server.py
• Data format: JSON files in data/
• Code style: Dataclasses, type hints, docstrings

To add new tools:

1. Add function to backcast_mcp_server.py
2. Register in MCP tool manifest
3. Update this README with tool documentation

---

Version History

v1.0 - 2025-01-01

• Initial MCP server release
• Core backcasting functionality
• Full CRUD operations on plans and steps
• Analysis and export tools
• JSON-based storage
• Integration with Claude Desktop

---

License

MIT License - Free to use and modify

---

Author & Credits

Derek M D Chan — Creator and maintainer

GitHub: @NET-OF-BEING

Co-developed with Claude (Anthropic) using AI-assisted development

Built on the Outcome Backcasting methodology: Strategic planning that reverse-engineers paths from desired future outcomes to present actions, now accessible through natural conversation with Claude via the Model Context Protocol.

---

Quick Start Summary

For Claude Desktop Users:

1. Configure in ~/.config/Claude/claude_desktop_config.json:

   {
     "mcpServers": {
       "outcome-backcasting": {
         "command": "/home/panda/Documents/PythonScripts/OutcomeBackcasting/run_backcast_mcp.sh"
       }
     }
   }
   

2. Restart Claude Desktop

3. Ask Claude: "Help me create a backcasting plan for [your goal]"

4. Collaborate with Claude through natural conversation

5. View rich artifacts with formatted roadmaps

For Claude Code Users:

1. Configure in ~/.claude/config.json:

   {
     "mcpServers": {
       "outcome-backcasting": {
         "command": "/home/panda/Documents/PythonScripts/OutcomeBackcasting/run_backcast_mcp.sh"
       }
     }
   }
   

2. Reload config with claude configure or restart terminal

3. Use inline: claude "Create a backcasting plan for [goal]"

4. Track progress: claude "What should I work on next for my [project] plan?"

5. Automate: Integrate into build scripts or CI/CD

Universal Workflow:

1. Define outcome with success criteria and constraints
2. Generate plan working backwards from the goal
3. Execute by asking for next actions regularly
4. Track progress through natural conversation
5. Adjust as circumstances change

The power of backcasting + the intelligence of Claude = Strategic planning made simple.