> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mcp-use.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Base

> Base agent interface for MCP tools API Documentation

export const RandomGradientBackground = ({className, color, children, grayscaled = false}) => {
  const saturation = useMemo(() => {
    if (color) {
      const values = color.split("(")[1].split(")")[0].trim().split(/\s+/);
      return parseFloat(values[1] || "0");
    }
    return grayscaled ? 0 : 0.2;
  }, [color, grayscaled]);
  const lightness = useMemo(() => {
    if (color) {
      const values = color.split("(")[1].split(")")[0].trim().split(/\s+/);
      return parseFloat(values[0] || "0.5");
    }
    return grayscaled ? 0.3 : 0.4;
  }, [color, grayscaled]);
  const randomHue = useMemo(() => {
    if (color) {
      const values = color.split("(")[1].split(")")[0].trim().split(/\s+/);
      return parseFloat(values[2] || "0");
    }
    return Math.floor(Math.random() * 360);
  }, [color]);
  const randomColor = useMemo(() => {
    if (color) {
      return color;
    }
    return `oklch(${Math.min(lightness, 1)} ${saturation} ${randomHue})`;
  }, [randomHue, saturation, lightness]);
  const lightColor = useMemo(() => {
    return `oklch(${Math.min(lightness * 2, 1)} ${saturation} ${randomHue})`;
  }, [randomHue, saturation, lightness, color]);
  const direction = useMemo(() => {
    return Math.floor(Math.random() * 360);
  }, [randomHue]);
  const brightnessFilter = useMemo(() => {
    return "1000%";
  }, []);
  return <div className={`relative overflow-hidden ${className || ""}`} style={{
    background: `${lightColor}`,
    minHeight: '100%',
    width: '100%'
  }}>
      <div className="absolute inset-0 w-full h-full" style={{
    background: `linear-gradient(${direction}deg, ${randomColor}, transparent), url(https://grainy-gradients.vercel.app/noise.svg)`,
    filter: `contrast(120%) brightness(${brightnessFilter})`,
    backgroundSize: 'cover',
    backgroundRepeat: 'no-repeat'
  }} />
      {children && <div className="relative z-10 w-full h-full">{children}</div>}
    </div>;
};

<Callout type="info" title="Source Code">
  View the source code for this module on GitHub: <a href="https://github.com/mcp-use/mcp-use/blob/main/libraries/python/mcp_use/agents/base.py" target="_blank" rel="noopener noreferrer">[https://github.com/mcp-use/mcp-use/blob/main/libraries/python/mcp\_use/agents/base.py](https://github.com/mcp-use/mcp-use/blob/main/libraries/python/mcp_use/agents/base.py)</a>
</Callout>

Base agent interface for MCP tools.

This module provides a base class for agents that use MCP tools.

## BaseAgent

<div>
  <RandomGradientBackground className="rounded-lg p-4 w-full h-full rounded-full">
    <div className="text-black">
      <div className="text-black font-bold text-xl mb-2 mt-8"><code className="!text-black">class</code> BaseAgent</div>

      Base class for agents that use MCP tools.

      This abstract class defines the interface for agents that use MCP tools.
      Agents are responsible for integrating LLMs with MCP tools.
    </div>
  </RandomGradientBackground>

  ```python theme={null}
  from mcp_use.agents.base import BaseAgent
  ```

  <Card type="info">
    ### `method` **init**

    Initialize a new agent.

    **Parameters**

    > <ParamField body="session" type="mcp_use.client.session.MCPSession" required="True">   The MCP session to use for tool calls. </ParamField>

    **Signature**

    ```python wrap theme={null}
    def __init__(session: mcp_use.client.session.MCPSession):
    ```
  </Card>

  <Card type="info">
    ### `method` initialize

    Initialize the agent.

    This method should prepare the agent for use, including initializing
    the MCP session and setting up any necessary components.

    **Signature**

    ```python wrap theme={null}
    def initialize():
    ```
  </Card>

  <Card type="info">
    ### `method` run

    Run the agent with a query.

    **Parameters**

    > <ParamField body="query" type="str" required="True">   The query to run. </ParamField>
    > <ParamField body="max_steps" type="int" default="10">   The maximum number of steps to run. </ParamField>

    **Returns**

    > <ResponseField name="returns" type="dict[str, Any]">The final result from the agent.</ResponseField>

    **Signature**

    ```python wrap theme={null}
    def run(query: str, max_steps: int = 10):
    ```
  </Card>

  <Card type="info">
    ### `method` step

    Perform a single step of the agent.

    **Parameters**

    > <ParamField body="query" type="str" required="True">   The query to run. </ParamField>
    > <ParamField body="previous_steps" type="list[dict[str, typing.Any]] | None" default="None">   Optional list of previous steps. </ParamField>

    **Returns**

    > <ResponseField name="returns" type="dict[str, Any]">The result of the step.</ResponseField>

    **Signature**

    ```python wrap theme={null}
    def step(query: str, previous_steps: list[dict[str, typing.Any]] | None = None):
    ```
  </Card>
</div>