by mmorris35
DevPlan turns project ideas into clear development plans with phases, tasks, and subtasks—organize, schedule, and track
Creates detailed development plans from project ideas by interviewing users and generating structured markdown files with phases, tasks, and subtasks. Tracks progress and validates plans for consistency.
DevPlan is a community-built MCP server published by mmorris35 that provides AI assistants with tools and capabilities via the Model Context Protocol. DevPlan turns project ideas into clear development plans with phases, tasks, and subtasks—organize, schedule, and track It is categorized under developer tools, productivity. This server exposes 20 tools that AI clients can invoke during conversations and coding sessions.
You can install DevPlan in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
DevPlan is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
I recommend DevPlan for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: DevPlan is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated DevPlan against two servers with overlapping tools; this profile had the clearer scope statement.
DevPlan is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
DevPlan reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired DevPlan into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: DevPlan surfaces stars and publisher context so we could sanity-check maintenance before adopting.
DevPlan has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, DevPlan benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired DevPlan into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Transform ideas into executable development plans — an MCP server that brings the ClaudeCode-DevPlanBuilder methodology to Claude Code.
The Problem: AI coding assistants often lose context, skip steps, or produce inconsistent code across sessions.
The Solution: DevPlan creates detailed, Haiku-executable development plans with built-in validation, lessons learned, and issue remediation workflows.
| Feature | Description |
|---|---|
| Haiku-Executable Plans | Plans so detailed that Claude Haiku can execute them mechanically |
| Built-in Validation | Validates plans are complete before execution begins |
| Real-Time Progress Tracking | Integrates with Claude Code's Task tools for live visibility |
| Lessons Learned | Captures issues from verification and injects them into future plans |
| Issue Remediation | Converts GitHub issues directly into remediation tasks |
| Executor & Verifier Agents | Auto-generates specialized agents with task tracking built-in |
claude mcp add devplan --transport sse https://mcp.devplanmcp.store/sse --scope user
Or add to ~/.claude.json under the mcpServers key:
{
"mcpServers": {
"devplan": {
"type": "sse",
"url": "https://mcp.devplanmcp.store/sse"
}
}
}
If you already have DevPlan installed, remove from both scopes and re-add:
claude mcp remove devplan --scope project; claude mcp remove devplan --scope user; claude mcp add devplan --transport sse https://mcp.devplanmcp.store/sse --scope user
You: "Use devplan_start to help me build a CLI tool for managing dotfiles"
That's it. DevPlan will guide Claude through the entire process.
DevPlan uses a scaffold → enhance → validate workflow that ensures every plan is Haiku-executable before implementation begins.
flowchart LR
subgraph Planning["📋 Planning"]
A[Interview] --> B[Brief]
B --> C[Generate Scaffold]
end
subgraph Enhancement["✨ Enhancement"]
C --> D[Enhance with Code]
D --> E{Validate}
E -->|Fail| D
E -->|Pass| F[Ready]
end
subgraph Execution["⚡ Execution"]
F --> G[Haiku Executes]
G --> H[Sonnet Verifies]
end
subgraph Learning["🧠 Learning"]
H -->|issues| I[Capture Lessons]
I -->|improve| C
end
style E fill:#fff3e0,stroke:#f57c00
style F fill:#c8e6c9,stroke:#2e7d32
style I fill:#e3f2fd,stroke:#1565c0
devplan_generate_plan creates a starting templatedevplan_validate_plan checks the plan is Haiku-executableThe validation step checks that plans are truly Haiku-executable:
# Example validation output
{
"valid": true,
"errors": [],
"warnings": [],
"stats": {
"subtasks": 5,
"codeBlocksChecked": 8,
"issuesFound": 0
}
}
Generated executor and verifier agents integrate with Claude Code's Task tools for live progress visibility:
# Example: Executor tracks subtasks
TaskCreate({ subject: "1.2.3: Implement auth middleware", activeForm: "Implementing auth middleware" })
TaskUpdate({ taskId: "...", status: "in_progress" })
# ... work happens ...
TaskUpdate({ taskId: "...", status: "completed" })
Both Task tools (real-time visibility) and DEVELOPMENT_PLAN.md (durable record) are updated — giving you the best of both worlds.
"Use devplan_start to help me build [your idea]"
# Get issue JSON
gh issue view 123 --json number,title,body,labels,comments,url > issue.json
# Then tell Claude:
"Use devplan_issue_to_task with this issue to create a remediation plan"
"Use devplan_progress_summary to show me where we are"
DevPlan generates plans and agent files for multiple AI coding tools and models. Use the target parameter to generate outputs for your preferred tool.
| Target | Tool | Agent File | Best For |
|---|---|---|---|
claude | Claude Code | CLAUDE.md | Claude Code IDE (default) |
cursor | Cursor IDE | .cursorrules | Cursor AI editor |
aider | Aider CLI | .aider.conf.yml | Terminal-based AI pair programming |
cline | VS Code Cline | .cline/instructions.md | VS Code extension |
windsurf | Windsurf IDE | .windsurf/rules.md | Codium's AI IDE |
generic | Any Model | AGENTS.md + files | Model-agnostic markdown format |
When generating plans or agent files, specify the target tool:
Generate plan for Cursor:
"Use devplan_generate_plan to create a plan, then I'll customize it for Cursor. Set target to 'cursor' for .cursorrules format"
Generate executor for Aider:
"Use devplan_generate_executor with target='aider' to create an Aider-compatible executor agent"
Generate generic agent files:
"Use devplan_generate_claude_md with target='generic' to create model-agnostic AGENTS.md files"
Each target has a dedicated adapter that transforms the DevPlan methodology into the appropriate format:
CLAUDE.md with executor/verifier agents in .claude/agents/.cursorrules with all guidance in one file (Cursor doesn't support separate agents).aider.conf.yml with architect mode instructions.cline/instructions.md with executor/verifier split.windsurf/rules.md with cascade-optimized formatAGENTS.md, EXECUTOR.md, and VERIFIER.md for any toolStart a new project for Cursor:
"Use devplan_start to help me build a CLI tool, then generate the plan with target='cursor' for Cursor IDE"
Add executor for specific target:
"I have a development plan. Use devplan_generate_executor with target='aider' to create the executor agent for Aider"
Compare adapter capabilities: See docs/ADAPTERS.md for a detailed comparison of each target's capabilities and limitations.
| Tool | Purpose |
|---|---|
devplan_start | Main entry point - guides Claude through the methodology |
devplan_interview_questions | Get questions to gather project requirements |
devplan_create_brief | Generate PROJECT_BRIEF.md |
devplan_parse_brief | Parse existing brief into structured data |
devplan_list_templates | List project templates (cli, web_app, api, library) |
| Tool | Purpose |
|---|---|
devplan_generate_plan | Generate DEVELOPMENT_PLAN.md scaffold with validation instructions |
devplan_generate_claude_md | Generate CLAUDE.md scaffold |
devplan_generate_executor | Generate Haiku-powered executor agent with Task tool integration |
devplan_generate_verifier | Generate Sonnet-powered verifier agent with Task tool integration |
| Tool | Purpose |
|---|---|
devplan_validate_plan | Validate plan structure and Haiku-executability |
devplan_get_subtask | Get specific subtask details by ID |
devplan_update_progress | Mark subtasks complete with notes |
devplan_progress_summary | Get completion stats and next actions |
Feedback loop that captures issues from verification and incorporates them into future plans.
| Tool | Purpose |
|---|---|
devplan_add_lesson | Capture a lesson from verifier findings |
devplan_list_lessons | List accumulated lessons by severity |
devplan_archive_lesson | Archive old lessons without deleting them |
devplan_delete_lesson | Remove outdated or incorrect lessons |
devplan_extract_lessons_from_report | Auto-extract lessons from verification reports |
Convert GitHub issues into structured remediation tasks — perfect for bug fixes and post-release maintenance.
| Tool | Purpose |
|---|---|
devplan_parse_issue | Analyze a GitHub issue to extract requirements |
devplan_issue_to_task | Generate remediation task with subtasks from an issue |
| Tool | Purpose |
|---|---|
devplan_usage_stats | View usage distribution across users |
| Without DevP
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.