Dev Guru
An AI-powered code consultation server that routes programming queries to specific AI models based on requested expertise levels. It enables users to receive structured feedback on debugging, architectural decisions, and code reviews from Gemini, Claude, or GPT.
README
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<img src="guru.png" alt="Dev Guru" width="300"/>
๐ง Dev Guru
Your AI-powered code consultation MCP server.
When you're stuck, afraid, or just lazy to ask for help โ Dev Guru is here.
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๐ก 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 โ a guru it can consult when facing tough coding decisions.
๐ฏ Use Cases
| Scenario | How Dev Guru Helps |
|---|---|
| ๐ 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. |
| ๐๏ธ Architecture Decisions | Unsure about a design pattern? Dev Guru analyzes your code structure and recommends the best approach. |
| ๐ Code Review on Demand | Submit code for review and get structured feedback with a thinking process and concrete suggestions. |
| ๐ค Validating Reasoning | Your agent has an idea but isn't confident. Dev Guru validates the reasoning and either confirms or corrects the approach. |
| โก Multi-Model Leverage | Automatically routes to Gemini, Claude, or GPT based on the complexity level โ getting the right model for the right job. |
โจ Features
- ๐ง Expert-based Routing โ Automatically selects the best AI model for the task:
noviceโ Gemini (fast, efficient)mediumโ Claude (balanced, analytical)expertโ OpenAI GPT (deep reasoning)
- ๐ OpenRouter Fallback โ If a primary API key is missing, seamlessly falls back to OpenRouter
- ๐๏ธ Configurable Models โ Choose exactly which model to use per level via environment variables
- โก FastMCP Core โ High-performance MCP server implementation
- ๐ฆ Skill Management API โ Dynamic skill installation and management via REST
- ๐ณ Docker Ready โ Multi-stage build with
uvfor efficient containerized deployments - ๐งฉ Agno Framework โ Leverages Agno for agent orchestration and structured outputs
๐ 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 sync
Running
# Start the full API + MCP server
uv run python main.py
Docker
docker compose up --build
โ๏ธ Configuration
Environment Variables
| Variable | Description | Default |
|---|---|---|
GEMINI_API_KEY |
Google Gemini API key | โ |
ANTHROPIC_API_KEY |
Anthropic Claude API key | โ |
OPENAI_API_KEY |
OpenAI API key | โ |
OPENROUTER_API_KEY |
OpenRouter API key (universal fallback) | โ |
API_KEY |
Optional API key to protect REST and MCP endpoints | โ |
NOVICE_MODEL |
Model ID for novice level | gemini-3.1-pro-preview |
MEDIUM_MODEL |
Model ID for medium level | claude-opus-4.6 |
ADVANCED_MODEL |
Model ID for expert level | gpt-5.3-codex |
PORT |
Server port | 8000 |
DEBUG |
Debug mode | true |
Tip: You only need an
OPENROUTER_API_KEYto use all three levels โ it acts as a universal fallback for any missing provider key.
๐ 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"
]
}
}
}
๐ก API Endpoints
Skill Management
| Method | Endpoint | Description |
|---|---|---|
GET |
/skills |
List all loaded skills |
GET |
/skills/{name} |
Get details of a specific skill |
POST |
/skills |
Install a skill (URL or base64 zip) |
POST |
/skills/upload |
Install a skill via file upload |
DELETE |
/skills/{name} |
Delete a skill |
MCP Tool
| Tool | Parameters | Description |
|---|---|---|
call_guru |
level, technologies, context, thinking |
Consult the guru about a coding problem |
๐งช Testing
PYTHONPATH=. uv run pytest
๐๏ธ 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 --> E
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Built with ๐ง by devs, for devs.
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