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Narad GitHub Agent

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Enables AI-powered GitHub interactions including repository analysis, code search, PR reviews, and more through the MCP protocol.

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About

Enables AI-powered GitHub interactions including repository analysis, code search, PR reviews, and more through the MCP protocol.

README

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.


✨ 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

🛠️ 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

📁 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

🚀 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

🧰 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?

🗄️ 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.


🔒 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.

🧰 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

🤝 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.


📜 License

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


© 2026 Edge-Explorer · Narad AI Ecosystem

from github.com/Edge-Explorer/Narad-GitHub-Agent

Installing Narad GitHub Agent

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Edge-Explorer/Narad-GitHub-Agent

FAQ

Is Narad GitHub Agent MCP free?

Yes, Narad GitHub Agent MCP is free — one-click install via Unyly at no cost.

Does Narad GitHub Agent need an API key?

No, Narad GitHub Agent runs without API keys or environment variables.

Is Narad GitHub Agent hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Narad GitHub Agent in Claude Desktop, Claude Code or Cursor?

Open Narad GitHub Agent on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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