Narad GitHub Agent 🚀🤖

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 — 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 — no code changes needed.

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✨ Key Features

Feature	Description
💬 Interactive CLI Mode	Chat with the agent directly in your terminal using natural language
🌐 MCP Server Mode	Integrate with AI IDEs (VS Code + Antigravity, Claude Desktop) via MCP
🧠 Conversation Memory	Every session is stored in a local SQLite DB — Gemini remembers context
🔥 PR Code Reviewer	Fetch a PR's diff and get an expert AI code review (bugs, security, rating)
🌅 Daily Digest	AI-written morning report of activity across all your repos
👤 Profile Overview	View any GitHub user's bio, stats, and top repos with an AI Developer Summary
⚡ Gemini 2.0 Flash	Reasoning engine for repo health, code analysis, and GitHub Q&A
🔐 Security First	.env is git-ignored. Your token is never pushed to GitHub
📦 Clean Architecture	Pydantic Settings, structured logging, modular tool design

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🛠️ 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

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📁 Project Structure

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

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🚀 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 → Developer Settings → 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

💬 Interactive CLI Mode (Chat with the Agent)

python src/main.py --cli

🌐 MCP Server Mode (Connect to AI IDE)

python src/main.py

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🧰 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> <#>	🔥 AI Code Review of a specific PR
analyze <owner/repo>	🧠 AI repo health report + score out of 10
digest	🌅 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?

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🗄️ 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.

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🔒 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 — 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 — 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 — it fails fast with a clear error if a key is missing.

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🧰 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

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🤝 About

Narad GitHub Agent — 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 — a family of modular, premium AI agents.

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© 2026 Edge-Explorer · Narad AI Ecosystem