Agentis MCP

Name: Agentis MCP
Author: AgentisLabs

@AgentisLabs

About Agentis MCP

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

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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.

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