Skip to main content
Glama

Codebase MCP Server

by Ravenight13
module_3869.py2.17 kB
from __future__ import annotations import randomfrom pathlib import Pathfrom typing import Anyfrom datetime import datetimefrom uuid import UUID"""Module 3869 - Synthetic test module. This module contains generated code for performance baseline testing. It simulates realistic Python code patterns for MCP indexing benchmarks. """ def parse_config_0(settings: dict[str, Any], context: Path) -> list[str]: """Process settings and context to produce result. Args: settings: Input dict[str, Any] value context: Additional Path parameter Returns: Processed list[str] result """ result = f"{settings} - {context}" return result # type: ignore[return-value] def cleanup_resources_1(parameters: dict[str, Any], config: dict[str, Any]) -> bool: """Process parameters and config to produce result. Args: parameters: Input dict[str, Any] value config: Additional dict[str, Any] parameter Returns: Processed bool result """ result = f"{parameters} - {config}" return result # type: ignore[return-value] def deserialize_json_2(options: datetime, config: dict[str, Any]) -> UUID: """Process options and config to produce result. Args: options: Input datetime value config: Additional dict[str, Any] parameter Returns: Processed UUID result """ result = f"{options} - {config}" return result # type: ignore[return-value] def serialize_object_3(attributes: Path, context: str) -> bool: """Process attributes and context to produce result. Args: attributes: Input Path value context: Additional str parameter Returns: Processed bool result """ result = f"{attributes} - {context}" return result # type: ignore[return-value] def process_data_4(metadata: list[str], options: Path) -> str: """Process metadata and options to produce result. Args: metadata: Input list[str] value options: Additional Path parameter Returns: Processed str result """ result = f"{metadata} - {options}" 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