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Narad GitHub Agent ๐Ÿš€๐Ÿค–

A Premium CLI & MCP Server Powered by Gemini 2.0 Flash

The Narad GitHub Agent is a next-generation, dual-mode intelligent agent engineered for seamless high-level interactions with GitHub. It operates as an interactive CLI chat agent you can talk to directly, or as a Model Context Protocol (MCP) server that integrates with AI-powered IDEs and tools.

Powered by Gemini 2.0 Flash, it transforms complex repository tasks into simple conversational interactions โ€” with conversation memory, AI code reviews, and a daily digest of your GitHub activity.

Fully Dynamic: The agent uses whoever's GITHUB_TOKEN is in .env. Clone it, put your own token in, and it works 100% for your account โ€” no code changes needed.


โœจ Key Features

Feature

Description

๐Ÿ’ฌ Interactive CLI Mode

Chat with the agent directly in your terminal using natural language

๐ŸŒ MCP Server Mode

Integrate with AI IDEs (VS Code + Antigravity, Claude Desktop) via MCP

๐Ÿง  Conversation Memory

Every session is stored in a local SQLite DB โ€” Gemini remembers context

๐Ÿ”ฅ PR Code Reviewer

Fetch a PR's diff and get an expert AI code review (bugs, security, rating)

๐ŸŒ… Daily Digest

AI-written morning report of activity across all your repos

๐Ÿ‘ค Profile Overview

View any GitHub user's bio, stats, and top repos with an AI Developer Summary

โšก Gemini 2.0 Flash

Reasoning engine for repo health, code analysis, and GitHub Q&A

๐Ÿ” Security First

.env is git-ignored. Your token is never pushed to GitHub

๐Ÿ“ฆ Clean Architecture

Pydantic Settings, structured logging, modular tool design


Related MCP server: GitHub MCP Server

๐Ÿ› ๏ธ Tech Stack

Technology

Role

Gemini 2.0 Flash

AI Reasoning & Analysis Engine

FastMCP

Model Context Protocol Server

PyGitHub

GitHub REST API Integration

SQLite (stdlib)

Local DB for conversation memory, PR reviews & digests

Pydantic Settings

Config Management & Validation

Rich

Beautiful Terminal UI/CLI

Python 3.10+

Core Language

venv

Isolated Dependency Management


๐Ÿ“ Project Structure

Narad-GitHub-Agent/
โ”œโ”€โ”€ src/
โ”‚   โ”œโ”€โ”€ main.py              # Dual entry point: CLI or MCP Server
โ”‚   โ””โ”€โ”€ narad_mcp/
โ”‚       โ”œโ”€โ”€ config.py        # Pydantic Settings & Config
โ”‚       โ”œโ”€โ”€ server.py        # FastMCP Server with all tools
โ”‚       โ”œโ”€โ”€ cli.py           # Rich Interactive CLI Agent
โ”‚       โ”œโ”€โ”€ database.py      # SQLite layer (memory, PR reviews, digests)
โ”‚       โ”œโ”€โ”€ tools/
โ”‚       โ”‚   โ””โ”€โ”€ github_tools.py  # All GitHub API interactions
โ”‚       โ””โ”€โ”€ agents/
โ”‚           โ””โ”€โ”€ gemini_agent.py  # Gemini 2.0 Flash Reasoning Engine
โ”œโ”€โ”€ tests/                   # Quality assurance suite
โ”œโ”€โ”€ narad_agent.db           # ๐Ÿ”’ Local SQLite DB (auto-created, git-ignored)
โ”œโ”€โ”€ .env                     # ๐Ÿ”’ Secrets (git-ignored, never pushed)
โ”œโ”€โ”€ .env.example             # Credential Template for setup
โ”œโ”€โ”€ .gitignore               # Strict security rules
โ””โ”€โ”€ requirements.txt         # Modern dependencies

๐Ÿš€ Quick Start

1. Prerequisites

Ensure you have Python 3.10+ installed and your API keys ready.

2. Clone & Setup Environment

# Clone the repo
git clone https://github.com/Edge-Explorer/Narad-GitHub-Agent.git
cd Narad-GitHub-Agent

# Create and activate virtual environment
python -m venv venv
.\venv\Scripts\activate   # Windows

# Install dependencies
pip install -r requirements.txt

3. Configure Credentials

Create a .env file by copying the example:

copy .env.example .env

Then fill in your keys:

GITHUB_TOKEN="your_github_personal_access_token"
GEMINI_API_KEY="your_gemini_api_key"

Getting a GitHub Token: Go to GitHub Settings โ†’ Developer Settings โ†’ Personal Access Tokens and create a token with repo scope.

Getting a Gemini API Key: Visit Google AI Studio to generate your free Gemini API key.

4. Run the Agent

๐Ÿ’ฌ Interactive CLI Mode (Chat with the Agent)

python src/main.py --cli

๐ŸŒ MCP Server Mode (Connect to AI IDE)

python src/main.py

๐Ÿงฐ CLI Commands

You can type natural language or use the keywords below:

Command

What it does

repos

List your repositories (auto-detected from token)

repos <username>

List any GitHub user's public repos

profile

Your full GitHub profile: bio, stats, top repos

profile <username>

Any user's full profile & top repos

commits <owner/repo>

Recent commit history for a repo

branches <owner/repo>

List all branches

prs <owner/repo>

List open Pull Requests

review pr <owner/repo> <#>

๐Ÿ”ฅ AI Code Review of a specific PR

analyze <owner/repo>

๐Ÿง  AI repo health report + score out of 10

digest

๐ŸŒ… Generate today's Daily GitHub Digest

history

View your current session's conversation history

ask <question>

Ask Gemini any GitHub or coding question

exit

Quit the agent

Natural Language Examples

show me my repos
give me commits from Edge-Explorer/Narad-GitHub-Agent
analyze my Narad project
what are the open PRs in Edge-Explorer/Narad-MCP-Server
review pr Edge-Explorer/my-project 3
give me today's digest
what is a pull request?

๐Ÿ—„๏ธ Local SQLite Database

The agent automatically creates narad_agent.db to persist data locally:

Table

Stores

conversation_history

All questions & answers per session (with session ID)

pr_reviews

Full AI code reviews with repo, PR number & timestamp

daily_digests

All generated daily digests, so you can compare over time

The database file is git-ignored and stays only on your machine.


๐Ÿ”’ Security & Best Practices

  • Your token is 100% dynamic: The agent reads GITHUB_TOKEN from .env at startup. If you change the token, it uses the new one automatically. No code changes needed.

  • Token never leaks: .env and *.db are strictly in .gitignore โ€” they will never be pushed to GitHub.

  • Anyone can clone this: A new user clones the repo, adds their own .env with their credentials, and the agent will work for their GitHub account โ€” not yours.

  • Least Privilege: Only the GitHub token scopes you need (repo is enough for all features).

  • Validated Config: Pydantic Settings validates all environment variables on startup โ€” it fails fast with a clear error if a key is missing.


๐Ÿงฐ MCP Tools (Server Mode)

When running as an MCP Server, these tools are exposed to your AI IDE:

Tool

Description

list_repositories

List repos for you or any GitHub user

get_commits

Fetch recent commit history

analyze_repository

AI-powered health & activity report

read_file

Read any file from any branch

search_github_code

Search code across all of GitHub

list_repo_branches

List all branches

ask_gemini_github

Ask Gemini any GitHub/dev question


๐Ÿค About

Narad GitHub Agent โ€” Re-engineered from the ground up with a focus on security, modularity, AI-first design, and genuine day-to-day developer utility.

Built as part of the Narad AI Ecosystem โ€” a family of modular, premium AI agents.


๐Ÿ“œ License

This project is licensed under the MIT License. See the LICENSE file for details.


ยฉ 2026 Edge-Explorer ยท Narad AI Ecosystem

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