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๐Ÿง˜ Dev Guru

Your AI-powered code consultation MCP server.

Python FastAPI MCP Docker License

When you're stuck, afraid, or just lazy to ask for help โ€” Dev Guru is here.


๐Ÿ’ก 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.

๐ŸŽฏ Use Cases

Scenario

How Dev Guru Helps

๐Ÿ› 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.

๐Ÿ—๏ธ Architecture Decisions

Unsure about a design pattern? Dev Guru analyzes your code structure and recommends the best approach.

๐Ÿ”„ Code Review on Demand

Submit code for review and get structured feedback with a thinking process and concrete suggestions.

๐Ÿค” Validating Reasoning

Your agent has an idea but isn't confident. Dev Guru validates the reasoning and either confirms or corrects the approach.

โšก Multi-Model Leverage

Automatically routes to Gemini, Claude, or GPT based on the complexity level โ€” getting the right model for the right job.

โœจ Features

  • ๐Ÿง  Expert-based Routing โ€” Automatically selects the best AI model for the task:

    • novice โ†’ Gemini (fast, efficient)

    • medium โ†’ Claude (balanced, analytical)

    • expert โ†’ OpenAI GPT (deep reasoning)

  • ๐Ÿ”€ OpenRouter Fallback โ€” If a primary API key is missing, seamlessly falls back to OpenRouter

  • ๐ŸŽ›๏ธ Configurable Models โ€” Choose exactly which model to use per level via environment variables

  • โšก FastMCP Core โ€” High-performance MCP server implementation

  • ๐Ÿ“ฆ Skill Management API โ€” Dynamic skill installation and management via REST

  • ๐Ÿณ Docker Ready โ€” Multi-stage build with uv for efficient containerized deployments

  • ๐Ÿงฉ Agno Framework โ€” Leverages Agno for agent orchestration and structured outputs

๐Ÿš€ 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

โš™๏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_KEY to use all three levels โ€” it acts as a universal fallback for any missing provider key.

๐Ÿ”Œ 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"
      ]
    }
  }
}

๐Ÿ“ก 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

๐Ÿงช Testing

PYTHONPATH=. uv run pytest

๐Ÿ—๏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

Built with ๐Ÿง˜ by devs, for devs.

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