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