Agentic Csa
A

Agentic Csa

A tool designed for FIRST Robotics Competition teams, which can search multiple official document libraries such as WPILib, REV, and CTRE simultaneously, quickly obtain answers to programming and hardware configuration through natural language questions, and support VS Code integration and AI assistant optimization.
2.5 points
6.5K

What is FIRST Agentic CSA?

FIRST Agentic CSA is an intelligent assistant integrated into VS Code, specifically designed for FRC robot programming teams. It's like a 'document search engine'. You can ask questions in everyday language (e.g., 'How to configure the SparkMax motor controller?'), and it will automatically search for the most relevant answers in multiple official document libraries such as WPILib, REV, CTRE, Redux, and PhotonVision. This greatly saves the time of switching between and searching multiple websites.

How to use FIRST Agentic CSA?

It's very easy to use: First, install this MCP server in VS Code. Then, when writing code, you can directly ask questions through an AI assistant (such as GitHub Copilot). The AI assistant will automatically call this tool to search for documents and return the accurate information it finds to you. You can also optimize the answer quality of the AI assistant by adding a `copilot-instructions.md` file to ensure it gives priority to using official document information.

Applicable scenarios

This tool is very suitable for all FRC programming scenarios: - **Quick problem - solving**: When you forget how to use an API or encounter a configuration error. - **Learning new knowledge**: When learning new concepts such as imperative programming, PID control, and vision processing. - **Code writing assistance**: Get instant references when writing motor control, sensor integration, and autonomous program code. - **Multi - language support**: Whether you use Java, Python, or C++, you can get examples in the corresponding language.

Main features

One - stop global search
No need to open multiple websites separately. One search can cover all official documents of WPILib, REV (SparkMax), CTRE (TalonFX), Redux Robotics, and PhotonVision to obtain the most comprehensive information.
Natural language questions
Say goodbye to complex keyword searches. Just ask questions in the way you think about the problem, for example, 'What should I do if my motor doesn't turn?'. The tool will understand your intention and find the relevant troubleshooting section.
Programming language filtering
Automatically or manually filter search results to only show code examples and descriptions related to the programming language (Java, Python, C++) used in your project, avoiding information confusion.
Support for multi - season documents
Supports searching documents from different years (e.g., 2024, 2025 seasons), which is convenient for maintaining old projects or understanding historical changes of APIs.
Deep VS Code integration
As an MCP server, it is seamlessly integrated into VS Code and works in conjunction with AI coding assistants such as GitHub Copilot to provide context - related document support during the coding process.
Customizable search sources
You can enable or disable specific document sources in the configuration according to the hardware and software used by your team (for example, if you don't use CTRE, you can turn off its search).
Advantages
**Greatly improve efficiency**: Shorten hours of manual searching time to a few seconds of asking questions.
**Lower the learning threshold**: New team members don't need to be familiar with the structure of all document websites and can quickly get started by asking questions.
**Ensure information accuracy**: Answers are directly sourced from the latest official documents, avoiding misleading from outdated or incorrect forum posts.
**Improve code quality**: Get instant references to official best practices during coding and reduce trial - and - error.
**Seamless development experience**: No need to leave the VS Code environment and keep the workflow coherent.
Limitations
**Dependent on network connection**: Requires an internet connection to obtain the latest online document content.
**Requires cooperation with an AI assistant**: The best experience requires using it in combination with an AI coding assistant such as GitHub Copilot.
**Cannot replace in - depth reading**: For complex topics, the searched fragments may still need to be understood in combination with the complete document chapter.
**Limited by document quality**: The accuracy of search results ultimately depends on the clarity and completeness of the official documents themselves.

How to use

Install the MCP server
Open the command palette in VS Code (Ctrl+Shift+P / Cmd+Shift+P), search for and select 'MCP: Add Server', then select the 'Pip package' method and enter the package name `first - agentic - csa` to complete the installation.
(Recommended) Configure AI assistant instructions
For the best experience, copy the `copilot - instructions.md` file provided by the project to the `.github` directory of your FRC project. This will guide the AI assistant to give priority to using this tool to search for documents when answering FRC - related questions.
Start asking questions
After installation and configuration are completed, use the AI assistant in VS Code as usual. When you ask FRC - related questions, the assistant will automatically call this tool to search and return document - based answers.
(Optional) Adjust the configuration
If necessary, you can edit the configuration file of the MCP server, for example, turn off unused document sources or set the default programming language preference.

Usage examples

Example 1: Quickly find API usage
A team member is not sure how to set the feedback sensor of the TalonFX when writing code.
Example 2: Learn new concepts
A new team member wants to learn the imperative (Command - Based) robot programming framework.
Example 3: Fault diagnosis
The SparkMax motor of the robot is set to a speed in the code but doesn't rotate.
Example 4: Cross - language reference
A team member who usually uses C++ needs to help a teammate using Python solve a problem.

Frequently Asked Questions

After installation, I don't see this tool in VS Code. How to use it?
Do I have to use GitHub Copilot?
Are the documents it searches the latest?
What if the search doesn't return the result I want?
Is this tool free?
Does it support offline use?

Related resources

Project source code repository
Visit the GitHub repository to view the source code, report issues, or contribute code.
Model Context Protocol (MCP) official website
Understand the MCP protocol, which is the basis for this tool to communicate with VS Code and AI assistants.
WPILib official documentation
The official documentation of the FRC core programming library, one of the main search sources of this tool.
REV Robotics documentation
The official documentation of REV products such as the SparkMax motor controller.
CTRE Phoenix documentation
The official documentation (v6) of CTRE motor controllers and sensors such as the TalonFX.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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