The video explains how to give a cursor any tool by creating a simple tools.py
file with defined functions that print outputs, allowing the cursor to perform tasks without needing an MCP server. The presenter demonstrates the cursor’s ability to utilize multiple tools simultaneously and suggests optimizing tool usage for efficiency, while also promoting a comprehensive course for further learning on the topic.
In the video, the presenter discusses how to give a cursor any tool without the need for MCP servers, emphasizing the simplicity of the process. The demonstration involves asking the cursor to perform five different tasks, showcasing its ability to utilize multiple tools simultaneously. The cursor effectively calls the GPT API to retrieve answers, demonstrating its capability to handle various functions defined in a simple Python file named tools.py
. The presenter highlights the ease of this approach compared to the complexities of hosting an MCP server.
The core idea revolves around creating a tools.py
file where users can define their functions. The presenter notes that these functions do not require docstrings and should print their outputs instead of returning them. This is crucial because the agent can only access the terminal output of the functions when they are called. By following this method, users can perform API calls, database queries, and connect to other tools on the internet without the overhead of a server.
To implement this, the presenter explains the need to create a general rule for the cursor, which is set to always consider the functions defined in the tools.py
file. The instructions provided to the cursor include a directive to use these tools when necessary. This setup allows the cursor to access the functions and utilize them effectively, streamlining the process of executing tasks without the need for complex server configurations.
The video also touches on the possibility of optimizing the tool usage by allowing the cursor to call multiple tools with a single command line argument. While the cursor may sometimes call tools one by one, the presenter suggests enhancing the instructions to improve efficiency. By providing a list of function names or even copying the entire tools.py
file into the instructions, users can ensure that the cursor operates smoothly and effectively.
Finally, the presenter invites viewers to explore more in-depth content through a dedicated course on the topic, available via a Patreon community. This course includes 45 chapters and access to live meetings, along with numerous projects. The video concludes by directing viewers to additional resources and free videos available on the presenter’s educational platform, encouraging engagement and further learning in the realm of cursor tools and functionalities.