Agentis MCP

Agentis MCP

A flexible multi-agent framework for building powerful AI agents with MCP server connectivity.

Features

• Connect to MCP servers for tool access and resource retrieval
• Build multi-agent workflows with powerful orchestration
• Simple and intuitive API for creating custom agents
• Flexible configuration system
• Support for different transport mechanisms (stdio, SSE)
• Persistent and temporary connection management
• Aggregation of multiple tool servers

Installation

pip install agentis-mcp

Quick Start

import asyncio
from agentis_mcp import Agent, AgentContext
from agentis_mcp.config import load_config

async def main():
    # Load the configuration from a YAML file
    config = load_config("config.yaml")
    
    # Create an agent context
    context = AgentContext(config)
    
    # Create an agent with the context
    async with Agent(context) as agent:
        # Run a task with the agent
        result = await agent.run("What's the weather in San Francisco?")
        print(result)

asyncio.run(main())

Documentation

For detailed documentation, see the docs directory.

License

APACHE 2.0