Agentis MCP
Python framework for creating AI agents that use MCP servers as tools. Compatible with any MCP server and model provider.
Overview
what is Agentis MCP?
Agentis MCP is a Python framework designed for creating AI agents that utilize MCP servers as tools, enabling flexible multi-agent workflows.
how to use Agentis MCP?
To use Agentis MCP, install the package via pip and create an agent using the provided API. Load your configuration and run tasks with the agent in an asynchronous context.
key features of Agentis MCP?
- 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
use cases of Agentis MCP?
- Developing AI agents for data retrieval and processing
- Creating automated workflows that involve multiple tools
- Building custom agents for specific tasks using MCP servers
FAQ from Agentis MCP?
- What programming language is Agentis MCP built with?
Agentis MCP is built with Python.
- How do I install Agentis MCP?
You can install it using the command:
pip install agentis-mcp.
- Can I use Agentis MCP with any MCP server?
Yes! Agentis MCP is compatible with any MCP server and model provider.
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