import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import type { RunOptions } from './commands/run.js';
type ServerOptions = RunOptions;
/**
 * Initializes and starts the OpenZiti MCP server to provide AI assistants
 * with secure, controlled access to OpenZiti Controller Management API capabilities.
 *
 * This server acts as a secure bridge between AI models and OpenZiti Controller Management APIs,
 * enforcing proper authentication, authorization, and validation at every step.
 * The server validates credentials before any operations and continuously
 * monitors token validity during operation to prevent security issues.
 *
 * Security architecture:
 * - Initial user-friendly validation occurs in `run.ts` with detailed CLI feedback
 * - Startup validation here provides a secondary checkpoint
 * - Continuous validation during tool calls ensures credentials remain valid
 * - Token expiration checking prevents use of expired credentials
 *
 * This multi-layered approach balances security requirements with developer
 * experience by providing appropriate feedback at each stage.
 *
 * Key responsibilities include:
 * - Securing access to OpenZiti Controller Management API
 * - Validating user credentials and token expiration
 * - Automatically refreshing invalid configurations when possible
 * - Exposing selected tools based on user permissions and preferences
 * - Handling MCP protocol requests through configured transports
 *
 * @param {ServerOptions} [options] - Optional configuration for tool filtering and read-only mode
 * @returns {Promise<Server>} The initialized MCP server instance
 * @throws {Error} If configuration validation fails or server setup encounters errors
 */
export declare function startServer(options?: ServerOptions): Promise<Server<{
    method: string;
    params?: {
        [x: string]: unknown;
        _meta?: {
            [x: string]: unknown;
            progressToken?: string | number | undefined;
            "io.modelcontextprotocol/related-task"?: {
                taskId: string;
            } | undefined;
        } | undefined;
    } | undefined;
}, {
    method: string;
    params?: {
        [x: string]: unknown;
        _meta?: {
            [x: string]: unknown;
            progressToken?: string | number | undefined;
            "io.modelcontextprotocol/related-task"?: {
                taskId: string;
            } | undefined;
        } | undefined;
    } | undefined;
}, {
    [x: string]: unknown;
    _meta?: {
        [x: string]: unknown;
        progressToken?: string | number | undefined;
        "io.modelcontextprotocol/related-task"?: {
            taskId: string;
        } | undefined;
    } | undefined;
}>>;
export {};