Skip to main content
Glama

SuiAgentic

by AnhQuan2004
schemas.py807 B
from typing import Dict, Optional from pydantic import BaseModel, HttpUrl class AuthHeaders(BaseModel): """Custom headers for authentication""" headers: Dict[str, str] class BasicAuth(BaseModel): """Basic authentication credentials""" username: str password: str class URLInput(BaseModel): """Input model for document embedding""" url: HttpUrl call_name: str auth_headers: Optional[AuthHeaders] = None basic_auth: Optional[BasicAuth] = None class FileUploadResponse(BaseModel): """Response model for file upload""" message: str doc_id: str call_name: str date: str is_update: bool file_name: str class QueryInput(BaseModel): """Input model for document retrieval""" query: str top_k: int = 5 group_by_doc: bool = True

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/AnhQuan2004/mcp_agent'

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