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Showing content from https://github.com/ydb-platform/ydb-mcp below:

GitHub - ydb-platform/ydb-mcp

Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances.

uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using uvx.

Example: Using Anonymous Authentication 
{
  "mcpServers": {
    "ydb": {
      "command": "uvx",
      "args": [
        "ydb-mcp",
        "--ydb-endpoint", "grpc://localhost:2136",
        "--ydb-database", "/local"
      ]
    }
  }
}

pipx allows you to run various applications from PyPI without explicitly installing each one. However, it must be installed first. Below are examples of how to configure YDB MCP using pipx.

Example: Using Anonymous Authentication 
{
  "mcpServers": {
    "ydb": {
      "command": "pipx",
      "args": [
        "run", "ydb-mcp",
        "--ydb-endpoint", "grpc://localhost:2136",
        "--ydb-database", "/local"
      ]
    }
  }
}

YDB MCP can be installed using pip, Python's package installer. The package is available on PyPI and includes all necessary dependencies.

To get started with YDB MCP, you'll need to configure your MCP client to communicate with the YDB instance. Below are example configuration files that you can customize according to your setup and then put into MCP client's settings. Path to the Python interpreter might also need to be adjusted to the correct virtual environment that has the ydb-mcp package installed.

Example: Using Anonymous Authentication 
{
  "mcpServers": {
    "ydb": {
      "command": "python3",
      "args": [
        "-m", "ydb_mcp",
        "--ydb-endpoint", "grpc://localhost:2136",
        "--ydb-database", "/local"
      ]
    }
  }
}

Regardless of the usage method (uvx, pipx or pip), you can configure authentication for your YDB installation. To do this, pass special command line arguments.

Using Login/Password Authentication

To use login/password authentication, specify the --ydb-auth-mode, --ydb-login, and --ydb-password arguments:

{
  "mcpServers": {
    "ydb": {
      "command": "uvx",
      "args": [
        "ydb-mcp",
        "--ydb-endpoint", "grpc://localhost:2136",
        "--ydb-database", "/local",
        "--ydb-auth-mode", "login-password",
        "--ydb-login", "<your-username>",
        "--ydb-password", "<your-password>"
      ]
    }
  }
}
Using Access Token Authentication

To use access token authentication, specify the --ydb-auth-mode and --ydb-access-token arguments:

{
  "mcpServers": {
    "ydb": {
      "command": "uvx",
      "args": [
        "ydb-mcp",
        "--ydb-endpoint", "grpc://localhost:2136",
        "--ydb-database", "/local",
        "--ydb-auth-mode", "access-token",
        "--ydb-access-token", "qwerty123"
      ]
    }
  }
}
Using Service Account Authentication

To use service account authentication, specify the --ydb-auth-mode and --ydb-sa-key-file arguments:

{
  "mcpServers": {
    "ydb": {
      "command": "uvx",
      "args": [
        "ydb-mcp",
        "--ydb-endpoint", "grpc://localhost:2136",
        "--ydb-database", "/local",
        "--ydb-auth-mode", "service-account",
        "--ydb-sa-key-file", "~/sa_key.json"
      ]
    }
  }
}

YDB MCP provides the following tools for interacting with YDB databases:

The project uses Make as its primary development tool, providing a consistent interface for common development tasks.

The project includes a comprehensive Makefile with various commands for development tasks. Each command is designed to streamline the development workflow and ensure code quality:

By default, tests run with minimal output (WARNING level) to keep the output clean. You can control the verbosity of test output using the LOG_LEVEL environment variable:

# Run all tests with debug output
make test LOG_LEVEL=DEBUG

# Run integration tests with info output
make integration-tests LOG_LEVEL=INFO

# Run unit tests with warning output (default)
make unit-tests LOG_LEVEL=WARNING

Available log levels:

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