mcp-server-clp

hoophalab/mcp-server-clp

3.1

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The Model Context Protocol (MCP) server is a versatile tool designed to facilitate communication and data exchange between different components in a computing environment, particularly for handling log files and other structured data.

CLP MCP Server

A model context protocol server to work with accessing Compressed Log Processor (CLP).

Getting Started

Option 1 (Easiest): Use uv package manager

Step 1: Install uv package manager.
Step 2: Clone this repository (e.g., to "C:\mcp-server-clp")
Step 3: Configure your editor
Cursor

Copy the following contents to Menu Bar -> File -> Preferences -> Cursor Settings -> Tools & Integrations -> MCP Tools -> Add Custom MCP

{
  "mcpServers": {
    "CLP file reader": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\mcp-server-clp", // or "/home/user_name/mcp-server-clp"
        "run",
        "python",
        "-m",
        "mcp_server_clp",
        "C:\\path_to_log_files" // replace this path
      ]
    }
  }
}
Visual Studio Code (with Copilot)

  1. Open command palette with Ctrl + Shift + P.

  2. Choose MCP: Add Server....

  3. Choose Command (stdio) Run a local command that implements the MCP protocol.

  4. Type uv --directory C:\mcp-server-clp run python -m mcp_server_clp C:\path_to_log_files.

  5. Type the name of the server, e.g., mcp-server-clp.

  6. You should end up with a file looking like

{
    ...
    "mcp": {
        "servers": {
            "mcp-server-clp": {
                "type": "stdio",
                "command": "uv",
                "args": [
                  "--directory",
                  "C:\\mcp-server-clp", // or "/home/user_name/mcp-server-clp"
                  "run",
                  "python",
                  "-m",
                  "mcp_server_clp",
                  "C:\\path_to_log_files" // replace this path
                ]
            },
        }
    }
}
Claude Desktop

Copy the following contents to claude_desktop_config.json by Menu Bar -> File -> Settings -> Developer -> Edit Config

{
  "mcpServers": {
    "CLP file reader": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\mcp-server-clp", // or "/home/user_name/mcp-server-clp"
        "run",
        "python",
        "-m",
        "mcp_server_clp",
        "C:\\path_to_log_files" // replace this path
      ]
    }
  }
}

Option 2: If you already have a Python and Node.js environment

Show steps
Step 1: Clone this repository
Step 2: Setup a venv and install dependencies in pyproject.toml
python -m venv venv
. ./venv/bin/activate
pip install .
Step 3: Run the MCP server in server mode
python -m mcp_server_clp /home/user_name/path_to_log_files --sse --host localhost --port 8000
Step 4: Configure your editor

Copy the following contents to your mcp configuration file. You can find more details in Step 3 of Option 1.

{
  "mcpServers": {
    "CLP file reader": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8000/sse"
      ]
    }
  }
}

Example Prompts

Here are some example prompts you can use:

  • Please list all files accessible through CLP mcp server.

  • Read example.clp.zst file and summarize the log file.

  • Locate the error in example.clp.zst log file.

Contributing