Agentis MCP
@AgentisLabs
About Agentis MCP
Python framework for creating AI agents that use MCP servers as tools. Compatible with any MCP server and model provider.
Config
No standard config provided
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RepositoryTools
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Overview
What is Agentis MCP?
Agentis MCP is a flexible multi‑agent framework for building powerful AI agents with MCP server connectivity. It allows agents to connect to MCP servers for tool access and resource retrieval, and supports multi‑agent orchestration.
How to use Agentis MCP?
Install via pip install agentis-mcp. Load a YAML configuration with load_config("config.yaml"), create an AgentContext, then instantiate an Agent and run tasks using agent.run("...").
Key features of Agentis MCP
- Connect to MCP servers for tool access and resources
- Build multi‑agent workflows with powerful orchestration
- Simple and intuitive API for custom agents
- Flexible configuration system
- Supports stdio and SSE transport mechanisms
- Persistent and temporary connection management
Use cases of Agentis MCP
- Building AI agents that use MCP server tools
- Creating multi‑agent workflows with orchestration
- Aggregating tools from multiple MCP servers
FAQ from Agentis MCP
How do I install Agentis MCP?
Install via pip: pip install agentis-mcp.
How do I start using Agentis MCP?
Create an AgentContext from a YAML config file, then create an Agent and run tasks with agent.run().
What transport mechanisms does Agentis MCP support?
It supports stdio and SSE transport.
What license is Agentis MCP under?
It is licensed under Apache 2.0.
Frequently asked questions
How do I install Agentis MCP?
Install via pip: `pip install agentis-mcp`.
How do I start using Agentis MCP?
Create an `AgentContext` from a YAML config file, then create an `Agent` and run tasks with `agent.run()`.
What transport mechanisms does Agentis MCP support?
It supports stdio and SSE transport.
What license is Agentis MCP under?
It is licensed under Apache 2.0.
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