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Vision Driven Design

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Bi-directional traceability for AI-assisted development: 8-phase spec-driven chain, 7 gates.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for vision-driven-design, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Vision Driven Design

License: MIT 8 Phases Version 1.8.2 7 Bidirectional Gates 108 Verification Checks MCP API Built with VDD Glama MCP tool-definition quality and maintenance score Agent Status MCP reliability score

From vision to verified impact β€” an AI-native, fully autonomous software development methodology.

Provide a human vision statement. The AI autonomously researches, audits your codebase, generates specs and plans, implements, and validates β€” with bi-directional verification at every junction to ensure nothing is missed or invented.


mermaid
graph LR
    V[1. Vision<br/>Human Input] -->|<-->| S[2. Strategy<br/>AI Research]
    S -->|<-->| T[3. Tactics<br/>AI Audit]
    T -->|<-->| SP[4. Specs<br/>SDD]
    SP -->|<-->| PL[5. Plan]
    PL -->|<-->| TK[6. Tasks]
    TK -->|<-->| IM[7. Implement]
    IM -->|<-->| VS[8. Validate<br/>Impact Verified]

    style V fill:#4CAF50,color:#fff
    style S fill:#2196F3,color:#fff
    style T fill:#FF9800,color:#fff
    style SP fill:#9C27B0,color:#fff
    style VS fill:#4CAF50,color:#fff

Table of Contents

  • Quick Start
  • How It Works
  • Commands
  • Installation
  • MCP API
  • Domains Covered
  • Best-Practice Benchmark
  • Documentation
  • Repository Structure
  • Credits
  • License

Quick Start

bash
# One-line install
curl -sSL https://raw.githubusercontent.com/simonplmak-cloud/vision-driven-design/main/scripts/install.sh | bash

Then in your project:

bash
/vdd:init                          # Generate project constitution
/vdd:vision "your vision here"     # The only human input required

# Or run end-to-end in one command:
/vdd:e2e "your vision here"        # Full chain: init→vision→...→validate

The AI handles the rest β€” researching, auditing, generating specs, planning, implementing, and validating β€” with self-gating at 7 bi-directional verification junctions.

Tutorial β†’ β€” 30-minute walkthrough building a real project.

bash
# Want human gates? Add to constitution.md:
## VDD Mode: gated

How It Works

VDD follows Goldratt's recursive Strategy-Tactic decomposition: every phase is simultaneously the Tactic for its parent and the Strategy for its child.

PhaseS&T RoleOutput
0. Constitution(pre-chain)constitution.md β€” Immutable project rules
1. VisionL1 Strategy: What impact?vision.md β€” Impact model, success metrics
2. StrategyL1 Tactic β†’ L2 Strategystrategy.md β€” Research, 12 pillars, risk register
3. TacticsL2 Tactic β†’ L3 Strategytactics.md β€” Codebase audit, 38 action items
4. SpecsL3 Tactic β†’ L4 Strategyspec.md β€” MoSCoW acceptance criteria
5. PlanL4 Tactic β†’ L5 Strategyplan.md, data-model.md, contracts/
6. TasksL5 Tactic β†’ L6 Strategytasks.md β€” Test-first atomic tasks
7. ImplementL6 Tactic β†’ L7 StrategyCode β€” Per-task commits with full traceability
8. ValidateL7 Tactic β€” Did it work?impact-report.md β€” Drift + impact verification

7 bi-directional gates verify both directions at every junction (108 total checks). Each gate validates 4 S&T assumptions: Necessity, Achievability, Sufficiency, Warnings.

Every code commit traces back to the original vision statement:

Code
V-001 β†’ S-002 β†’ T-003 β†’ SP-004 β†’ PL-005 β†’ TK-006 β†’ commit

Commands

CommandPhaseAction
/vdd:init0Generate constitution.md from project context
/vdd:vision "statement"1Expand freeform vision β†’ structured vision.md
/vdd:strategize2Load domain primers, spawn research subagents, synthesize strategy.md
/vdd:tactics3Audit repo β†’ gap analysis β†’ tactics.md
/vdd:specify <ID | "desc">4Generate spec.md (or freeform β€” skips V/S/T)
/vdd:clarify <feature>4Clarification pass on a spec
/vdd:plan <feature>5Generate plan.md, data-model.md, contracts/
/vdd:tasks <feature>6Generate tasks.md
/vdd:get-next-task <feature>7Extract next uncompleted task
/vdd:implement <task-id>7Execute single task, verify, commit
/vdd:validate8Full-chain traceability + drift + impact report
/vdd:traceanyBidirectional traceability matrix
/vdd:analyze <feature>anyCross-artifact consistency analysis
/vdd:amend "what changed"anyCascade requirement change through full chain
/vdd:detect-environmentanyReport per-phase tool/MCP requirements + available capabilities
/vdd:e2e "vision statement"0–8End-to-end: run full 8-phase chain in one call, writes all 10+ template files
/vdd:e2e -clone <domain>7Clone: crawl site (browserless/fetch) into a full dataset + exact UI/UX + rebuilt backend + generated schema + AI tools + deployable dynamic site (vdd/clone-site/) from a domain (https/http/www/bare)

Installation

bash
# OpenCode
git clone https://github.com/simonplmak-cloud/vision-driven-design.git \
  ~/.config/opencode/skills/vision-driven-design/

# Claude Code
git clone https://github.com/simonplmak-cloud/vision-driven-design.git \
  ~/.claude/skills/vision-driven-design/

# Cursor
git clone https://github.com/simonplmak-cloud/vision-driven-design.git \
  .cursor/skills/vision-driven-design/

Local MCP (from source)

To run the MCP server locally (stdio) instead of the hosted endpoint:

bash
# 1. Clone the repo
git clone https://github.com/simonplmak-cloud/vision-driven-design.git

# 2. Install deps + build the TypeScript packages
cd vision-driven-design
pnpm install
pnpm -r build

# 3. Point your agent at the built stdio entry point

OpenCode (opencode.json):

json
"vdd": {
  "type": "local",
  "command": ["node", "<repo>/packages/vdd-mcp/dist/stdio.js"],
  "enabled": true
}

Claude Desktop (claude_desktop_config.json):

json
"vdd": {
  "command": "node",
  "args": ["<repo>/packages/vdd-mcp/dist/stdio.js"],
  "type": "stdio"
}

MCP API

VDD is available as a public MCP server at https://vdd.simonmak.com β€” 15 tools, no API key required β€” over the MCP Streamable HTTP transport at https://vdd.simonmak.com/api/mcp (also reachable at /mcp). The legacy SSE endpoint is retired: https://vdd.simonmak.com/api/sse now returns an HTTP 308 redirect to /api/mcp.

Agent Configuration

OpenCode β€” add to opencode.json:

json
"vdd": {
  "type": "remote",
  "url": "https://vdd.simonmak.com/api/mcp",
  "timeout": 120000
}

Claude Desktop β€” add to claude_desktop_config.json:

json
"vdd": {
  "command": "npx",
  "args": ["-y", "@simonmak-ascent/mcp"],
  "type": "stdio"
}

Cursor β€” add MCP server URL: https://vdd.simonmak.com/api/mcp

Any Streamable HTTP client (Smithery, Claude Code, …) β€” MCP server URL: https://vdd.simonmak.com/api/mcp

MCP Tools (16)

vdd_init, vdd_vision, vdd_strategize, vdd_tactics, vdd_specify, vdd_clarify, vdd_plan, vdd_tasks, vdd_get_next_task, vdd_implement, vdd_validate, vdd_inspect, vdd_amend, vdd_clone, vdd_detect_environment.

The one-call e2e shortcut is not an MCP tool (it duplicates the phase sequence); use the CLI vdd e2e "vision" instead.

All tools accept: statement, projectRoot, actionItemId, feature, taskId, description, availableTools, capabilities, researchFindings, artifactFiles.

MCP Registry (Glama)

The server is listed on Glama, which builds it from source and publishes a hosted remote endpoint plus a Tool Definition Quality Score and maintenance rating:

Glama quality and maintenance score

Maintainer notes:

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Vision Driven Design

We don't have a confirmed install command for vision-driven-design yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/simonplmak-cloud/vision-driven-design) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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