AgentR

AgentR is a Python framework for building MCP servers to serve agentic applications and LLM clients. It provides a clean abstraction for incorporating various API services as "applications" into your agent workflow.

🌟 Features

• MCP (Model Context Protocol) Integration: Seamlessly works with MCP server architecture
• Simplified API Integration: Connect to services like GitHub, Google Calendar, Gmail, Reddit, Tavily, and more with minimal code
• Managed Authentication: Built-in support for API keys and OAuth-based authentication flows
• Extensible Architecture: Easily build and add new app integrations with minimal boilerplate
• Credential Management: Flexible storage options for API credentials with memory and environment-based implementations

🔧 Installation

Install AgentR using pip:

pip install agentr

🚀 Quick Start

1. Get an API Key

Before using AgentR with services that require authorization (like GitHub, Gmail, etc.), you'll need an AgentR API key:

Visit https://agentr.dev to create an account Generate an API key from your dashboard Set it as an environment variable or include it directly in your code:

export AGENTR_API_KEY="your_api_key_here"

2. Create a basic server

from agentr.server import TestServer

# Define your applications list
apps_list = [
    {
        "name": "tavily",
        "integration": {
            "name": "tavily_api_key",
            "type": "api_key",
            "store": {
                "type": "environment",
            }
        },        
    },
    {
        "name": "zenquotes",
        "integration": None
    },
    {
        "name": "github",
        "integration": {
            "name": "github",
            "type": "agentr",
        }
    }
]

# Create a server with these applications
server = TestServer(name="My Agent Server", description="A server for my agent apps", apps_list=apps_list)

# Run the server
if __name__ == "__main__":
    server.run()

🧩 Available Applications

AgentR comes with several pre-built applications:

Note: More applications are coming soon! Stay tuned for updates to our application catalog.

🔐 Integration Types

AgentR supports two primary integration types:

1. API Key Integration

For services that authenticate via API keys:

{
    "name": "service_name",
    "integration": {
        "name": "service_api_key",
        "type": "api_key",
        "store": {
            "type": "environment",  # or "memory"
        }
    }
}

2. OAuth Integration (via AgentR)

For services requiring OAuth flow:

{
    "name": "service_name",
    "integration": {
        "name": "service_name",
        "type": "agentr"
    }
}

When using OAuth integrations, users will be directed to authenticate with the service provider through a secure flow managed by AgentR.

🤖 CLI Usage

AgentR includes a command-line interface for common operations:

# Get version information
agentr version

# Generate API client from OpenAPI schema
agentr generate --schema path/to/openapi.yaml

# Run the test server
agentr run

# Install AgentR for specific applications
agentr install claude

📋 Requirements

• Python 3.11+
• Dependencies (automatically installed):
  • loguru >= 0.7.3
  • mcp >= 1.5.0
  • pyyaml >= 6.0.2
  • typer >= 0.15.2

📝 License

This project is licensed under the MIT License.