---
title: "Sequential Thinking MCP Integration"
sidebarTitle: "Sequential Thinking"
description: "Guide for integrating sequential thinking capabilities with PraisonAI agents using MCP"
icon: "brain"
---

## Add Sequential Thinking Tool to AI Agent

```mermaid
flowchart LR
    In[Query] --> Agent[AI Agent]
    Agent --> Tool[Sequential Thinking MCP]
    Tool --> Agent
    Agent --> Out[Answer]
    
    style In fill:#8B0000,color:#fff
    style Agent fill:#2E8B57,color:#fff
    style Tool fill:#6A5ACD,color:#fff
    style Out fill:#8B0000,color:#fff
```

## Quick Start

<Steps>
    <Step title="Install Dependencies">
        Make sure you have Node.js installed, as the MCP server requires it:
        ```bash
        pip install praisonaiagents mcp
        ```
    </Step>
    <Step title="Set API Key">
        Set your OpenAI API key as an environment variable in your terminal:
        ```bash
        export OPENAI_API_KEY=your_openai_api_key_here
        ```
    </Step>

    <Step title="Create a file">
        Create a new file `sequential_thinking.py` with the following code:
        ```python
        from praisonaiagents import Agent, MCP
        import os

        # Use a single string command with Sequential Thinking configuration
        sequential_agent = Agent(
            instructions="""You are a helpful assistant that can break down complex problems.
            Use the available tools when relevant to perform step-by-step analysis.""",
            llm="gpt-4o-mini",
            tools=MCP("npx -y @modelcontextprotocol/server-sequential-thinking")
        )

        sequential_agent.start("Break down the process of making a cup of tea")
        ```
    </Step>

    <Step title="Run the Agent">
        Execute your script:
        ```bash
        python sequential_thinking.py
        ```
    </Step>
</Steps>

<Note>
  **Requirements**
  - Python 3.10 or higher
  - Node.js installed on your system
  - OpenAI API key (for the agent's LLM)
</Note>