Agentis MCP
by AgentisLabs
Agentis MCP is a flexible multi-agent framework designed for building powerful AI agents with MCP server connectivity. It allows you to create multi-agent workflows with powerful orchestration capabilities.
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What is Agentis MCP?
Agentis MCP is a framework for building AI agents that can connect to MCP servers to access tools and resources. It provides a simple API and flexible configuration to create custom agents and multi-agent workflows.
How to use Agentis MCP?
To use Agentis MCP, install the package using pip install agentis-mcp. Then, load a configuration file, create an AgentContext, and instantiate an Agent. You can then use the agent.run() method to execute tasks.
Key features of Agentis MCP
Connect to MCP servers
Multi-agent workflow orchestration
Simple and intuitive API
Flexible configuration
Support for stdio and SSE
Persistent and temporary connection management
Use cases of Agentis MCP
Building AI assistants
Automating complex tasks
Integrating AI with existing systems
Creating intelligent workflows
Tool aggregation
FAQ from Agentis MCP
What is an MCP server?
What is an MCP server?
The documentation does not provide information on what an MCP server is.
How do I configure the agent?
How do I configure the agent?
The agent is configured using a YAML configuration file, loaded using load_config().
What transport mechanisms are supported?
What transport mechanisms are supported?
The framework supports stdio and SSE transport mechanisms.
Where can I find more detailed documentation?
Where can I find more detailed documentation?
Detailed documentation can be found in the docs/ directory.
What license is Agentis MCP released under?
What license is Agentis MCP released under?
Agentis MCP is released under the APACHE 2.0 license.