Dev Guru
Leverages Google Gemini models to provide fast and efficient assistance for novice-level coding tasks and debugging.
Connects to OpenAI's models for expert-level deep reasoning to solve complex coding challenges and validate architectural decisions.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Dev GuruReview this React component for performance bottlenecks at an expert level"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🧘 Dev Guru
Your AI-powered code consultation MCP server.
When you're stuck, afraid, or just lazy to ask for help — Dev Guru is here.
💡 What is Dev Guru?
Dev Guru is a specialized MCP (Model Context Protocol) server that acts as an on-demand senior code consultant for AI agents. It routes coding problems to the most suitable AI model based on the requested expertise level, providing structured, actionable feedback.
Think of it as a second brain for your AI agent — a guru it can consult when facing tough coding decisions.
Related MCP server: Consult LLM MCP
🎯 Use Cases
Scenario | How Dev Guru Helps |
🐛 Debugging Complex Issues | Your agent is stuck on a tricky bug. It calls Dev Guru with the context and gets expert-level reasoning and suggestions. |
🏗️ Architecture Decisions | Unsure about a design pattern? Dev Guru analyzes your code structure and recommends the best approach. |
🔄 Code Review on Demand | Submit code for review and get structured feedback with a |
🤔 Validating Reasoning | Your agent has an idea but isn't confident. Dev Guru validates the reasoning and either confirms or corrects the approach. |
⚡ Multi-Model Leverage | Automatically routes to Gemini, Claude, or GPT based on the complexity level — getting the right model for the right job. |
✨ Features
🧠 Expert-based Routing — Automatically selects the best AI model for the task:
novice→ Gemini (fast, efficient)medium→ Claude (balanced, analytical)expert→ OpenAI GPT (deep reasoning)
🔀 OpenRouter Fallback — If a primary API key is missing, seamlessly falls back to OpenRouter
🎛️ Configurable Models — Choose exactly which model to use per level via environment variables
⚡ FastMCP Core — High-performance MCP server implementation
📦 Skill Management API — Dynamic skill installation and management via REST
🐳 Docker Ready — Multi-stage build with
uvfor efficient containerized deployments🧩 Agno Framework — Leverages Agno for agent orchestration and structured outputs
🚀 Quick Start
Prerequisites
Python 3.12+
uv(recommended)At least one API key: Gemini, Anthropic, OpenAI, or OpenRouter
Installation
# Clone the repository
git clone https://github.com/your-user/dev-guru.git
cd dev-guru
# Create your environment file
cp .env.example .env
# Edit .env with your API keys
# Install dependencies
uv syncRunning
# Start the full API + MCP server
uv run python main.pyDocker
docker compose up --build⚙️ Configuration
Environment Variables
Variable | Description | Default |
| Google Gemini API key | — |
| Anthropic Claude API key | — |
| OpenAI API key | — |
| OpenRouter API key (universal fallback) | — |
| Optional API key to protect REST and MCP endpoints | — |
| Model ID for novice level | gemini-3.1-pro-preview |
| Model ID for medium level | claude-opus-4.6 |
| Model ID for expert level | gpt-5.3-codex |
| Server port |
|
| Debug mode |
|
Tip: You only need an
OPENROUTER_API_KEYto use all three levels — it acts as a universal fallback for any missing provider key.
🔌 MCP Configuration
Add Dev Guru to your MCP client (Claude Desktop, Cursor, etc.):
{
"mcpServers": {
"dev-guru": {
"command": "uv",
"args": [
"--directory",
"/path/to/dev-guru",
"run",
"python",
"src/server.py"
]
}
}
}📡 API Endpoints
Skill Management
Method | Endpoint | Description |
|
| List all loaded skills |
|
| Get details of a specific skill |
|
| Install a skill (URL or base64 zip) |
|
| Install a skill via file upload |
|
| Delete a skill |
MCP Tool
Tool | Parameters | Description |
|
| Consult the guru about a coding problem |
🧪 Testing
PYTHONPATH=. uv run pytest🏗️ Architecture
graph LR
A[AI Agent] -->|MCP Protocol| B[Dev Guru Server]
B -->|novice| C[Gemini]
B -->|medium| D[Claude]
B -->|expert| E[GPT-5.3-codex]
B -.->|fallback| F[OpenRouter]
F --> C
F --> D
F --> EBuilt with 🧘 by devs, for devs.
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