Skip to main content
Glama

Codebase MCP Server

by Ravenight13
module_0449.py2.12 kB
from __future__ import annotations import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 0449 - Synthetic test module. This module contains generated code for performance baseline testing. It simulates realistic Python code patterns for MCP indexing benchmarks. """ def deserialize_json_0(settings: Path, properties: bool) -> datetime: """Process settings and properties to produce result. Args: settings: Input Path value properties: Additional bool parameter Returns: Processed datetime result """ result = f"{settings} - {properties}" return result # type: ignore[return-value] def calculate_metrics_1(context: UUID, metadata: int) -> Path: """Process context and metadata to produce result. Args: context: Input UUID value metadata: Additional int parameter Returns: Processed Path result """ result = f"{context} - {metadata}" return result # type: ignore[return-value] def serialize_object_2(config: bool, settings: dict[str, Any]) -> str: """Process config and settings to produce result. Args: config: Input bool value settings: Additional dict[str, Any] parameter Returns: Processed str result """ result = f"{config} - {settings}" return result # type: ignore[return-value] def cleanup_resources_3(context: Path, context: str) -> list[str]: """Process context and context to produce result. Args: context: Input Path value context: Additional str parameter Returns: Processed list[str] result """ result = f"{context} - {context}" return result # type: ignore[return-value] def cleanup_resources_4(settings: list[str], metadata: Path) -> str: """Process settings and metadata to produce result. Args: settings: Input list[str] value metadata: Additional Path parameter Returns: Processed str result """ result = f"{settings} - {metadata}" 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