Skip to main content
Glama

Codebase MCP Server

by Ravenight13
module_0139.py2.21 kB
from __future__ import annotations import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0139 - Synthetic test module. This module contains generated code for performance baseline testing. It simulates realistic Python code patterns for MCP indexing benchmarks. """ class FileHandler0: """Generated class for testing purposes. This class demonstrates typical Python class patterns used in real-world codebases. """ def __init__(self, metadata: list[str]) -> None: """Initialize FileHandler0. Args: metadata: Configuration list[str] """ self.metadata = metadata def setup(self, context: Path) -> bool: """Perform setup operation. Args: context: Input Path parameter Returns: Operation success status """ return True def transform(self) -> str: """Perform transform operation. Returns: Operation result string """ return f"{self.metadata}" def calculate_metrics_0(context: dict[str, Any], config: str) -> str: """Process context and config to produce result. Args: context: Input dict[str, Any] value config: Additional str parameter Returns: Processed str result """ result = f"{context} - {config}" return result # type: ignore[return-value] class CacheManager1: """Generated class for testing purposes. This class demonstrates typical Python class patterns used in real-world codebases. """ def __init__(self, payload: datetime) -> None: """Initialize CacheManager1. Args: payload: Configuration datetime """ self.payload = payload def transform(self, payload: Path) -> bool: """Perform transform operation. Args: payload: Input Path parameter Returns: Operation success status """ return True def process(self) -> str: """Perform process operation. Returns: Operation result string """ return f"{self.payload}"

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