mcp-agentis
mcp-agentisは、Pythonで開発された自動化ツールで、特にワークフローの最適化に焦点を当てています。ユーザーは簡単にタスクを自動化し、効率を向上させることができます。豊富な機能を備え、柔軟な設定が可能です。
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README
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