Skip to main content
Glama

Codebase MCP Server

by Ravenight13
module_0599.py2.21 kB
from __future__ import annotations import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0599 - Synthetic test module. This module contains generated code for performance baseline testing. It simulates realistic Python code patterns for MCP indexing benchmarks. """ def process_data_0(properties: datetime, config: Path) -> datetime: """Process properties and config to produce result. Args: properties: Input datetime value config: Additional Path parameter Returns: Processed datetime result """ result = f"{properties} - {config}" return result # type: ignore[return-value] class DataProcessor0: """Generated class for testing purposes. This class demonstrates typical Python class patterns used in real-world codebases. """ def __init__(self, parameters: bool) -> None: """Initialize DataProcessor0. Args: parameters: Configuration bool """ self.parameters = parameters def serialize(self, parameters: datetime) -> bool: """Perform serialize operation. Args: parameters: Input datetime parameter Returns: Operation success status """ return True def serialize(self) -> str: """Perform serialize operation. Returns: Operation result string """ return f"{self.parameters}" def cleanup_resources_1(context: datetime, metadata: str) -> dict[str, Any]: """Process context and metadata to produce result. Args: context: Input datetime value metadata: Additional str parameter Returns: Processed dict[str, Any] result """ result = f"{context} - {metadata}" return result # type: ignore[return-value] def initialize_service_2(context: str, data: datetime) -> list[str]: """Process context and data to produce result. Args: context: Input str value data: Additional datetime parameter Returns: Processed list[str] result """ result = f"{context} - {data}" return result # type: ignore[return-value]

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/Ravenight13/codebase-mcp'

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