codelogic-mcp-server

codelogic-mcp-server

By MCP-Mirror GitHub

Mirror of

mathgpt math-solver
Overview

what is codelogic-mcp-server?

The codelogic-mcp-server is an MCP Server designed to utilize Codelogic's rich software dependency data, providing an AI programming assistant to enhance coding efficiency.

how to use codelogic-mcp-server?

To use the codelogic-mcp-server, install the required prerequisites, configure your environment variables, and run the server using the provided commands in your IDE or terminal.

key features of codelogic-mcp-server?

  • Impact assessment tool for code dependencies
  • Integration with Windsurf IDE for enhanced coding assistance
  • Unit and integration testing capabilities

use cases of codelogic-mcp-server?

  1. Assessing the impact of code changes on software dependencies.
  2. Assisting developers in understanding the effects of modifications in their codebase.
  3. Running unit tests to ensure code quality without external dependencies.

FAQ from codelogic-mcp-server?

  • What is the purpose of the codelogic-mcp-server?

It helps developers assess the impact of their code changes using Codelogic's software dependency data.

  • Is there a specific environment required to run the server?

Yes, it requires Astral UV to run and specific configurations in your IDE.

  • Can I run tests without a connection to a CodeLogic server?

Yes, unit tests can be run without a connection, but integration tests require access to a CodeLogic server.

Content

codelogic-mcp-server

An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.

Components

Tools

The server implements one tool:

  • get-impact: Pulls an impact assessment from the codelogic server's API's for your code
    • Takes the given "method" that you're working on and it's associated "class"

Install

Pre Requisites

The MCP server relies upon Astral UV to run, please install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json On Linux: ~/.config/Claude/claude_desktop_config.json

"mcpServers": {
  "codelogic-mcp-server": {
    "command": "uvx",
    "args": [
      "codelogic-mcp-server@latest"
    ],
    "env": {
      "CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
      "CODELOGIC_USERNAME": "<my username>",
      "CODELOGIC_PASSWORD": "<my password>",
      "CODELOGIC_MV_NAME": "<my marterialized view>"
    }
  }
}

Windsurf IDE

To run this MCP server with Windsurf IDE:

Configure Windsurf IDE:

To configure Windsurf IDE, you need to create or modify the ~/.codeium/windsurf/mcp_config.json configuration file.

Add the following configuration to your file:

"mcpServers": {
  "codelogic-mcp-server": {
    "command": "uvx",
    "args": [
      "codelogic-mcp-server@latest"
    ],
    "env": {
      "CODELOGIC_SERVER_HOST": "<url to the server e.g. https://myco.app.codelogic.com>",
      "CODELOGIC_USERNAME": "<my username>",
      "CODELOGIC_PASSWORD": "<my password>",
      "CODELOGIC_MV_NAME": "<my marterialized view>"
    }
  }
}

Add a global rule to help windsurf call the tool, create or modify the ~/.codeium/windsurf/memories/global_rules.md markdown file.

Add the following or something similar:

When I ask you to modify existing code, try running the get-impact mcp tool against the code I've provided and any methods or functions that you are changing.  Make sure the results sent back from the tool are highlighted as impacts for the given method or function.

After adding the configuration, restart Windsurf IDE or refresh the tools to apply the changes.

Pinning the version

instead of using the latest version of the server, you can pin to a specific version by changing the args field to match the version in pypi e.g.

    "args": [
      "codelogic-mcp-server@0.2.2"
    ],

Testing

Running Unit Tests

The project uses unittest for testing. You can run unit tests without any external dependencies:

python -m unittest discover -s test -p "unit_*.py"

Unit tests use mock data and don't require a connection to a CodeLogic server.

Integration Tests (Optional)

If you want to run integration tests that connect to a real CodeLogic server:

  1. Copy test/.env.test.example to test/.env.test and populate with your CodeLogic server details
  2. Run the integration tests:
python -m unittest discover -s test -p "integration_*.py"

Note: Integration tests require access to a CodeLogic server instance.

No tools information available.

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