Agentis MCP Server

@AgentisLabs

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AgentisLabs

关于 Agentis MCP Server

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

#mcp-agentis#ai-agents#python-framework

Agentis MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Agentis MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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