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AgentisLabs

mcp-agentis

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Python framework for creating AI agents that use MCP servers as tools. Compatible with any MCP server and model provider.

2 stars PythonAI & Machine Learning Updated Mar 30, 2025

Documentation

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

bash
pip install agentis-mcp

Quick Start

python
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

Frequently asked questions

What is mcp-agentis?

mcp-agentis is Python framework for creating AI agents that use MCP servers as tools. Compatible with any MCP server and model provider.

How do I install mcp-agentis?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp-agentis open source?

Yes — it is hosted on GitHub at https://github.com/AgentisLabs/mcp-agentis and has 2 stars.

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