robocop-mcp 1.1.2

MCP server for helping user to resolve Robot Framework code issues detected by Robocop.

Robocop MCP server

Robocop MCP server helps users to resolve their static code analysis errors and warnings with help of an LLM.

Install

Install with pip: pip install robocop-mcp

Running robocop-mcp server

running MCP server in VS Code workspace:

1. Create a .vscode/mcp.json file in your workspace.
2. Add following configuration to the mcp.json file:

{
    "servers": {
        "robocop-mcp":{
            "type": "stdio",
            "command": "${workspaceFolder}/.venv/bin/python",
            "args": [
                "-m",
                "robocop_mcp",
            ],

        }
    }
}

3. Change your CopPilot chat to Agent mode and select suitable model for your use.
4. Remember to click start button in the mcp.json file

For general detail about configuring MCP server in VS Code, see the VS Code documentation

Using robocop-mcp

https://github.com/user-attachments/assets/f446f31f-a91e-4cc1-bae0-6b691469dfba

Configuration

The robocop-mcp server can configured by using pyproject.toml file. The robocop-mcp server uses [tool.robocop_mcp] section in the toml file.

Priority of Robocop rules

Some rules are more important to fix than others or perhaps you want to use certain type of LLM to solve certain type of rule violations. In this case you can use rule_priority (list) to define which rule are first selected by the robocop-mcp and given to the LLM model. The rule_priority is a list of robocop rule id's. You can list all the rules with command:

> robocop list rules

And if one one rules looks like this:

Rule - ARG01 [W]: unused-argument: Keyword argument '{name}' is not used (enabled)

Then rule id is the ARG01.

And example if user wants to prioritize the ARG01 and ARG02 to be fixed first, then rule_priority would look like this.

[tool.robocop_mcp]
rule_priority = [
    "ARG01",
    "ARG02"
]

If rule_priority is not defined, robocop-mcp will select take first rule returned by robocop and use it to find similar rule violations.

Maximum amount violations returned

To not to clutter the LLM context with all the rule violations found from the test data, by default robocop-mcp will return twenty (20) violations from robocop. This can be changed by defining different value in the violation_count (int) setting.

To make robocop-mcp return 30 rule violations:

[tool.robocop_mcp]
violation_count = 30

How many rule violations the robocop-mcp should return depends on the LLM model being used, how verbose the proposed fix is and how long the LLM model context have been in use. It is hard to give good guidance on this subject, because LLM models change at fast pace and there are some many different models available.