by mrsimpson
Transforms AI coding agents into structured development partners by applying battle‑tested engineering workflows, preserving project context across sessions, and automatically generating documentation and decision logs.
Responsible Vibe MCP provides a set of proven development processes (V‑model, EPCC, TDD, reproduction‑based bug‑fixes, etc.) that an AI coding assistant can follow. It keeps notes, plans tasks, and maintains memory across conversations and branches, ensuring the agent acts as a disciplined development partner rather than a free‑form code generator.
npx responsible-vibe-mcp --generate-config amazonq-cli # replace with claude, gemini, opencode, etc.
Q: Do I need to modify my existing codebase to use this? A: No. The MCP server works as an overlay; it adds process guidance and memory while leaving the underlying code untouched.
Q: Which AI agents are supported? A: Any agent that implements the Model‑Context‑Protocol. The quick‑start command provides ready‑made configs for amazonq‑cli, claude, gemini, and opencode.
Q: Is there a cost to run the server? A: The server itself is open‑source and free. You only pay for the underlying AI model usage (e.g., Amazon Q, Claude) according to the provider’s pricing.
Q: Can I customize the workflow? A: Yes. The generated configuration can be edited to select a different workflow or adjust step‑by‑step prompts.
Q: How does project memory persist? A: The MCP server stores notes and plans in a hidden directory within the project, linking them to git branches so the context is restored on each session.
Transform any AI coding agent into a structured development partner with battle-tested engineering workflows.
# Setup your coding agent
npx responsible-vibe-mcp --generate-config amazonq-cli # or claude, gemini, opencode
# OR manually configure any MCP agent with our system prompt, check the docs for that
Head over to a new empty dir and ask your agent: "Build a UNO-like card game" – and instantly experience how your agent doesn't just shoot, but starts engineering – with YOU in the driver seat!
✅ Multiple battle-tested workflows (classical V-model "waterfall", Anthropic's EPCC, Test-Driven-Development, Reproduction-based bugfix, and many more)
✅ Context-aware process guidance: Your agent will take notes and plan tasks which survive context compression and even sessions.
✅ Project memory across conversations and branches
✅ Automatic documentation and decision tracking
Works in any agent that supports the Model-Context-Protocol. Whenever a new IDE or Terminal UI rises: You don't need to change the way you work.
There are zillions of "game changer next gen IDEs" out there, each claiming they will revolutionalize how software is going to be created.
In the end, they all just manipulate context of a transformer based LLM – it's all just noodle soup. And they are fast at changing wha't going to be part of the context, and it's even getting accelerated by parallel agents.
The problem: The faster agents become, the harder it is to engineer. I strongly believe that software engineering is a creative process which majorly happens inside the engineers brain.
Responsible-Vibe-MCP helps to fill the conversation context with contents from YOUR brain – instead of relying the agent will have understood what you should have thought about.
And since may developers tend to through structured processing off the cliff once they think they start coding, responsible-vibe-mcp will maintain proactive process guidance - your AI knows what to do next in each development phase, follow proven engineering methodologies, and maintain long-term project context.
Check the 📖 Complete Documentation →
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{
"mcpServers": {
"responsible-vibe-mcp": {
"command": "npx",
"args": [
"responsible-vibe-mcp",
"--generate-config",
"amazonq-cli"
],
"env": {
"API_KEY": "<YOUR_API_KEY>"
}
}
}
}claude mcp add responsible-vibe-mcp npx responsible-vibe-mcp --generate-config amazonq-cliExplore related MCPs that share similar capabilities and solve comparable challenges
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