Skip to main content
Glama

Gemini MCP Server

version.pyโ€ข14 kB
""" Version Tool - Display Zen MCP Server version and system information This tool provides version information about the Zen MCP Server including version number, last update date, author, and basic system information. It also checks for updates from the GitHub repository. """ import logging import platform import re import sys from pathlib import Path from typing import Any, Optional try: from urllib.error import HTTPError, URLError from urllib.request import urlopen HAS_URLLIB = True except ImportError: HAS_URLLIB = False from mcp.types import TextContent from config import __author__, __updated__, __version__ from tools.models import ToolModelCategory, ToolOutput from tools.shared.base_models import ToolRequest from tools.shared.base_tool import BaseTool logger = logging.getLogger(__name__) def parse_version(version_str: str) -> tuple[int, int, int]: """ Parse version string to tuple of integers for comparison. Args: version_str: Version string like "5.5.5" Returns: Tuple of (major, minor, patch) as integers """ try: parts = version_str.strip().split(".") if len(parts) >= 3: return (int(parts[0]), int(parts[1]), int(parts[2])) elif len(parts) == 2: return (int(parts[0]), int(parts[1]), 0) elif len(parts) == 1: return (int(parts[0]), 0, 0) else: return (0, 0, 0) except (ValueError, IndexError): return (0, 0, 0) def compare_versions(current: str, remote: str) -> int: """ Compare two version strings. Args: current: Current version string remote: Remote version string Returns: -1 if current < remote (update available) 0 if current == remote (up to date) 1 if current > remote (ahead of remote) """ current_tuple = parse_version(current) remote_tuple = parse_version(remote) if current_tuple < remote_tuple: return -1 elif current_tuple > remote_tuple: return 1 else: return 0 def fetch_github_version() -> Optional[tuple[str, str]]: """ Fetch the latest version information from GitHub repository. Returns: Tuple of (version, last_updated) if successful, None if failed """ if not HAS_URLLIB: logger.warning("urllib not available, cannot check for updates") return None github_url = "https://raw.githubusercontent.com/BeehiveInnovations/zen-mcp-server/main/config.py" try: # Set a 10-second timeout with urlopen(github_url, timeout=10) as response: if response.status != 200: logger.warning(f"HTTP error while checking GitHub: {response.status}") return None content = response.read().decode("utf-8") # Extract version using regex version_match = re.search(r'__version__\s*=\s*["\']([^"\']+)["\']', content) updated_match = re.search(r'__updated__\s*=\s*["\']([^"\']+)["\']', content) if version_match: remote_version = version_match.group(1) remote_updated = updated_match.group(1) if updated_match else "Unknown" return (remote_version, remote_updated) else: logger.warning("Could not parse version from GitHub config.py") return None except HTTPError as e: logger.warning(f"HTTP error while checking GitHub: {e.code}") return None except URLError as e: logger.warning(f"URL error while checking GitHub: {e.reason}") return None except Exception as e: logger.warning(f"Error checking GitHub for updates: {e}") return None class VersionTool(BaseTool): """ Tool for displaying Zen MCP Server version and system information. This tool provides: - Current server version - Last update date - Author information - Python version - Platform information """ def get_name(self) -> str: return "version" def get_description(self) -> str: return "Get server version, configuration details, and list of available tools." def get_input_schema(self) -> dict[str, Any]: """Return the JSON schema for the tool's input""" return { "type": "object", "properties": {}, "required": [], "additionalProperties": False, } def get_annotations(self) -> Optional[dict[str, Any]]: """Return tool annotations indicating this is a read-only tool""" return {"readOnlyHint": True} def get_system_prompt(self) -> str: """No AI model needed for this tool""" return "" def get_request_model(self): """Return the Pydantic model for request validation.""" return ToolRequest def requires_model(self) -> bool: return False async def prepare_prompt(self, request: ToolRequest) -> str: """Not used for this utility tool""" return "" def format_response(self, response: str, request: ToolRequest, model_info: dict = None) -> str: """Not used for this utility tool""" return response async def execute(self, arguments: dict[str, Any]) -> list[TextContent]: """ Display Zen MCP Server version and system information. This overrides the base class execute to provide direct output without AI model calls. Args: arguments: Standard tool arguments (none required) Returns: Formatted version and system information """ output_lines = ["# Zen MCP Server Version\n"] # Server version information output_lines.append("## Server Information") output_lines.append(f"**Current Version**: {__version__}") output_lines.append(f"**Last Updated**: {__updated__}") output_lines.append(f"**Author**: {__author__}") model_selection_metadata = {"mode": "unknown", "default_model": None} model_selection_display = "Model selection status unavailable" # Model selection configuration try: from config import DEFAULT_MODEL from tools.shared.base_tool import BaseTool auto_mode = BaseTool.is_effective_auto_mode(self) if auto_mode: output_lines.append( "**Model Selection**: Auto model selection mode (call `listmodels` to inspect options)" ) model_selection_metadata = {"mode": "auto", "default_model": DEFAULT_MODEL} model_selection_display = "Auto model selection (use `listmodels` for options)" else: output_lines.append(f"**Model Selection**: Default model set to `{DEFAULT_MODEL}`") model_selection_metadata = {"mode": "default", "default_model": DEFAULT_MODEL} model_selection_display = f"Default model: `{DEFAULT_MODEL}`" except Exception as exc: logger.debug(f"Could not determine model selection mode: {exc}") output_lines.append("") output_lines.append("## Quick Summary โ€” relay everything below") output_lines.append(f"- Version `{__version__}` (updated {__updated__})") output_lines.append(f"- {model_selection_display}") output_lines.append("- Run `listmodels` for the complete model catalog and capabilities") output_lines.append("") # Try to get client information try: # We need access to the server instance # This is a bit hacky but works for now import server as server_module from utils.client_info import format_client_info, get_client_info_from_context client_info = get_client_info_from_context(server_module.server) if client_info: formatted = format_client_info(client_info) output_lines.append(f"**Connected Client**: {formatted}") except Exception as e: logger.debug(f"Could not get client info: {e}") # Get the current working directory (MCP server location) current_path = Path.cwd() output_lines.append(f"**Installation Path**: `{current_path}`") output_lines.append("") output_lines.append("## Agent Reporting Guidance") output_lines.append( "Agents MUST report: version, model-selection status, configured providers, and available-model count." ) output_lines.append("Repeat the quick-summary bullets verbatim in your reply.") output_lines.append("Reference `listmodels` when users ask about model availability or capabilities.") output_lines.append("") # Check for updates from GitHub output_lines.append("## Update Status") try: github_info = fetch_github_version() if github_info: remote_version, remote_updated = github_info comparison = compare_versions(__version__, remote_version) output_lines.append(f"**Latest Version (GitHub)**: {remote_version}") output_lines.append(f"**Latest Updated**: {remote_updated}") if comparison < 0: # Update available output_lines.append("") output_lines.append("๐Ÿš€ **UPDATE AVAILABLE!**") output_lines.append( f"Your version `{__version__}` is older than the latest version `{remote_version}`" ) output_lines.append("") output_lines.append("**To update:**") output_lines.append("```bash") output_lines.append(f"cd {current_path}") output_lines.append("git pull") output_lines.append("```") output_lines.append("") output_lines.append("*Note: Restart your session after updating to use the new version.*") elif comparison == 0: # Up to date output_lines.append("") output_lines.append("โœ… **UP TO DATE**") output_lines.append("You are running the latest version.") else: # Ahead of remote (development version) output_lines.append("") output_lines.append("๐Ÿ”ฌ **DEVELOPMENT VERSION**") output_lines.append( f"Your version `{__version__}` is ahead of the published version `{remote_version}`" ) output_lines.append("You may be running a development or custom build.") else: output_lines.append("โŒ **Could not check for updates**") output_lines.append("Unable to connect to GitHub or parse version information.") output_lines.append("Check your internet connection or try again later.") except Exception as e: logger.error(f"Error during version check: {e}") output_lines.append("โŒ **Error checking for updates**") output_lines.append(f"Error: {str(e)}") output_lines.append("") # Configuration information output_lines.append("## Configuration") # Check for configured providers try: from providers.registry import ModelProviderRegistry from providers.shared import ProviderType provider_status = [] # Check each provider type provider_types = [ ProviderType.GOOGLE, ProviderType.OPENAI, ProviderType.XAI, ProviderType.DIAL, ProviderType.OPENROUTER, ProviderType.CUSTOM, ] provider_names = ["Google Gemini", "OpenAI", "X.AI", "DIAL", "OpenRouter", "Custom/Local"] for provider_type, provider_name in zip(provider_types, provider_names): provider = ModelProviderRegistry.get_provider(provider_type) status = "โœ… Configured" if provider is not None else "โŒ Not configured" provider_status.append(f"- **{provider_name}**: {status}") output_lines.append("**Providers**:") output_lines.extend(provider_status) # Get total available models try: available_models = ModelProviderRegistry.get_available_models(respect_restrictions=True) output_lines.append(f"\n\n**Available Models**: {len(available_models)}") except Exception: output_lines.append("\n\n**Available Models**: Unknown") except Exception as e: logger.warning(f"Error checking provider configuration: {e}") output_lines.append("\n\n**Providers**: Error checking configuration") output_lines.append("") # Format output content = "\n".join(output_lines) tool_output = ToolOutput( status="success", content=content, content_type="text", metadata={ "tool_name": self.name, "server_version": __version__, "last_updated": __updated__, "python_version": f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}", "platform": f"{platform.system()} {platform.release()}", "model_selection_mode": model_selection_metadata["mode"], "default_model": model_selection_metadata["default_model"], }, ) return [TextContent(type="text", text=tool_output.model_dump_json())] def get_model_category(self) -> ToolModelCategory: """Return the model category for this tool.""" return ToolModelCategory.FAST_RESPONSE # Simple version info, no AI needed

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BeehiveInnovations/gemini-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server