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 does the agentis mcp mcp server do?

Python framework for creating AI agents that use MCP servers as tools. Compatible with any MCP server and model provider. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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Agentis MCP Server

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

Local serverstdioPython

What is the Agentis MCP Server?

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

What it actually does

A flexible multi-agent framework for building powerful AI agents with MCP server connectivity.

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Agentis MCP Server

{
  "mcpServers": {
    "agentis": {
      "command": "uvx",
      "args": ["agentis-mcp"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Frequently asked questions

Install via pip: `pip install agentis-mcp`.

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