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Appwrite MCP Server

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tables_db_create_transaction

Create a database transaction to manage data operations with configurable expiration time for consistency and rollback capabilities.

Instructions

Create a new transaction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ttlNoSeconds before the transaction expires.

Implementation Reference

  • Executes the tool by calling the bound Appwrite service method (e.g., TablesDB.create_transaction) with user arguments and formats the result.
    async def handle_call_tool( name: str, arguments: dict | None ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: try: tool_info = tools_manager.get_tool(name) if not tool_info: raise McpError(f"Tool {name} not found") bound_method = tool_info["function"] result = bound_method(**(arguments or {})) if hasattr(result, 'to_dict'): result_dict = result.to_dict() return [types.TextContent(type="text", text=str(result_dict))] return [types.TextContent(type="text", text=str(result))] except AppwriteException as e: return [types.TextContent(type="text", text=f"Appwrite Error: {str(e)}")] except Exception as e: return [types.TextContent(type="text", text=f"Error: {str(e)}")]
  • Dynamically discovers public methods on TablesDB instance, creates MCP tool definitions with name 'tables_db_<method_name>' (e.g. tables_db_create_transaction), generates JSON schema from type hints/docstrings, and returns registry for registration.
    def list_tools(self) -> Dict[str, Dict]: """Lists all available tools for this service""" tools = {} for name, func in inspect.getmembers(self.service, predicate=inspect.ismethod): if name.startswith('_'): # Skip private methods continue original_func = func.__func__ # Skip if not from the service's module if original_func.__module__ != self.service.__class__.__module__: continue # Get the overridden name if it exists tool_name = self._method_name_overrides.get(name, f"{self.service_name}_{name}") docstring = parse(original_func.__doc__) signature = inspect.signature(original_func) type_hints = get_type_hints(original_func) properties = {} required = [] for param_name, param in signature.parameters.items(): if param_name == 'self': continue param_type = type_hints.get(param_name, str) properties[param_name] = self.python_type_to_json_schema(param_type) properties[param_name]["description"] = f"Parameter '{param_name}'" for doc_param in docstring.params: if doc_param.arg_name == param_name: properties[param_name]["description"] = doc_param.description if param.default is param.empty: required.append(param_name) tool_definition = Tool( name=tool_name, description=f"{docstring.short_description or "No description available"}", inputSchema={ "type": "object", "properties": properties, "required": required } ) tools[tool_name] = { "definition": tool_definition, "function": func } return tools
  • Registers the TablesDB service (conditionally via CLI flag), which triggers dynamic tool registration including 'tables_db_create_transaction'.
    if args.tables_db: tools_manager.register_service(Service(TablesDB(client), "tables_db"))
  • Registers the TablesDB service by default if no other services specified, enabling its tools like 'tables_db_create_transaction'.
    if not any([args.databases, args.tables_db, args.users, args.teams, args.storage, args.functions, args.messaging, args.locale, args.avatars, args.sites]): tools_manager.register_service(Service(TablesDB(client), "tables_db"))
  • Utility function used to convert Python type annotations to JSON Schema types for tool input schemas.
    def python_type_to_json_schema(self, py_type: Any) -> dict: """Converts Python type hints to JSON Schema types.""" type_mapping = { str: "string", int: "integer", float: "number", bool: "boolean", list: "array", dict: "object" } # Handle basic types if py_type in type_mapping: return {"type": type_mapping[py_type]} # Handle Optional types (Union[type, None]) if hasattr(py_type, "__origin__") and py_type.__origin__ is Union: args = getattr(py_type, "__args__", ()) if len(args) == 2 and args[1] is type(None): schema = self.python_type_to_json_schema(args[0]) return schema # Handle List, Dict, and other generic types if hasattr(py_type, "__origin__"): origin = py_type.__origin__ args = getattr(py_type, "__args__", ()) # Handle List[T] if origin is list or origin is List: if args: item_schema = self.python_type_to_json_schema(args[0]) return { "type": "array", "items": item_schema } return {"type": "array"} # Handle Dict[K, V] if origin is dict or origin is Dict: if len(args) >= 2: value_schema = self.python_type_to_json_schema(args[1]) return { "type": "object", "additionalProperties": value_schema } return {"type": "object"} # Default to string for unknown types return {"type": "string"}

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