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