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Agentic MCP Server with advanced AI capabilities including web search, summarization, database querying, and customer support. Built by the Agentics Foundation to enhance AI agents with powerful tools for research, content generation, and data analysis.

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export interface ToolCall { id?: string; function: { name: string; arguments: string; }; } export interface Message { role: "system" | "user" | "assistant" | "tool"; content: string; name?: string; tool_calls?: ToolCall[]; tool_call_id?: string; } export interface Tool { name: string; description: string; parameters: object; execute: (params: any) => Promise<any>; } export interface Guardrail { check: (msgs: Message[], context: Context) => Promise<boolean>; onFailure: (msgs: Message[], context: Context) => void; } export interface Agent { name: string; instructions: string; tools: Tool[]; model: string; input_guardrails?: Guardrail[]; } export interface UserPreferences { language: string; notifications: boolean; theme: string; } export interface AuthInfo { userId?: string; sessionId?: string; permissions?: string[]; } export interface AgentState { preferences: UserPreferences; auth: AuthInfo; workflow_id?: string; collected_info: Record<string, boolean>; previous_actions: string[]; resources: Record<string, any>; memory: Record<string, any>; } export interface Context { conversation: Message[]; state: AgentState; parent?: Context; addMessage(message: Message): void; getConversationHistory(): Message[]; setState<K extends keyof AgentState>(key: K, value: AgentState[K]): void; getState<K extends keyof AgentState>(key: K): AgentState[K] | undefined; setResource(key: string, value: any): void; getResource(key: string): any; remember(key: string, value: any): void; recall(key: string): any; trackAction(action: string): void; getActions(): string[]; markCollected(field: string): void; isCollected(field: string): boolean; initializeWorkflow(): void; getWorkflowId(): string | undefined; } export interface AgentRunConfig { run_name?: string; tracing_disabled?: boolean; trace_non_openai_generations?: boolean; } export interface StreamEvent { delta: string; type: "partial" | "tool_call" | "final"; } export interface MCPTool { name: string; description: string; inputSchema: object; execute: (params: any, context: Context) => Promise<any>; } export interface MCPServerConfig { name: string; version: string; openai: { apiKey: string; defaultModel: string; }; tracing?: { enabled: boolean; level: 'debug' | 'info' | 'error'; }; tools: { enabled: string[]; config: Record<string, any>; }; guardrails: { enabled: boolean; rules: Guardrail[]; }; } export interface MCPRequest { jsonrpc: '2.0'; id: string | number; method: string; params: any; } export interface MCPResponse { jsonrpc: '2.0'; id: string | number; result?: any; error?: { code: number; message: string; }; } export interface MCPStreamResponse { type: string; content: string; done: boolean; } export interface MCPStreamEvent { type: string; content: string; metadata?: Record<string, any>; } export interface ResourceHandler { get: (params: any) => Promise<any>; watch?: (params: any, onChange: () => void) => Promise<() => void>; } export interface Resource { uri: string; name: string; description?: string; mimeType?: string; handler: ResourceHandler; } export interface Span { id: string; name: string; startTime: number; endTime?: number; metadata?: Record<string, any>; } export interface Trace { id: string; spans: Span[]; metadata: Record<string, any>; }