agentislabs_mcp_agentis
by AgentisLabsAgentis MCP Framework
Overview
The Agentis MCP Framework is a Python-based multi-agent framework designed for building powerful AI agents with seamless connectivity to MCP (Model Control Protocol) servers. It provides a flexible and intuitive API for creating custom agents, enabling multi-agent workflows, and accessing tools and resources via MCP servers.
Features
- MCP Server Connectivity: Connect to MCP servers for tool access and resource retrieval.
- Multi-Agent Workflows: Build and orchestrate complex multi-agent workflows.
- Simple API: Intuitive API for creating and managing custom agents.
- Flexible Configuration: Easily configure agents and workflows using YAML files.
- Transport Mechanisms: Support for different transport mechanisms, including stdio and SSE.
- Connection Management: Manage persistent and temporary connections efficiently.
- Tool Aggregation: Aggregate multiple tool servers for enhanced functionality.
Installation
To install the Agentis MCP Framework, use the following command:
pip install agentis-mcp
Quick Start
Here’s a quick example to get started with the Agentis MCP Framework:
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, refer to the docs directory in the repository.
License
The Agentis MCP Framework is licensed under the APACHE 2.0 license.
About
The Agentis MCP Framework is a Python framework for creating AI agents that utilize MCP servers as tools. It is compatible with any MCP server and model provider, making it a versatile solution for building advanced AI workflows.
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