How do I get my GoBiz OAuth 2.0 access token?

Authenticate via the GoBiz OAuth endpoint at https://accounts.go-jek.com/oauth2/token using your merchant credentials. The resulting JWT Bearer token should be pasted into the credential field. Tokens expire periodically, so refresh as needed.

Can my AI automatically accept incoming GoFood orders?

Yes! Use the `accept_order` tool with the outlet ID, order type, and order ID. Your agent will confirm and accept the order for processing immediately.

Does this integration support sandbox/testing environments?

Yes, the server is configured to use the GoBiz sandbox API by default (https://api.partner-sandbox.gobiz.co.id). When you're ready for production, update the base URL to https://api.gobiz.co.id in the engine configuration.

Can I update menu stock levels in bulk?

Absolutely. Use the `update_menu_stocks` tool and pass an array of items with their stock levels as a JSON string. You can update dozens of items in a single API call.

GoFood MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: GoFood
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GoFood through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "gofood": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using GoFood, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GoFood MCP Server

Connect your GoFood/GoBiz merchant account to any AI agent and take full control of your food delivery and POS integration through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with GoFood through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Outlet Management — List, link, and unlink merchant outlets; retrieve detailed outlet configuration and properties
Menu & Catalog — Fetch complete menu catalogs, update items, and manage stock levels for menu items and variants
Order Processing — Accept, cancel, and mark orders as prepared with full order type support
Promotions — Create, list, deactivate, and delete promotional campaigns for specific outlets
Webhooks — Set up notification subscriptions for real-time event monitoring
Payments — Create payment transactions with reference tracking

The GoFood MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GoFood to LangChain via MCP

Follow these steps to integrate the GoFood MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from GoFood via MCP

Why Use LangChain with the GoFood MCP Server

LangChain provides unique advantages when paired with GoFood through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine GoFood MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across GoFood queries for multi-turn workflows

GoFood + LangChain Use Cases

Practical scenarios where LangChain combined with the GoFood MCP Server delivers measurable value.

RAG with live data: combine GoFood tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query GoFood, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain GoFood tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every GoFood tool call, measure latency, and optimize your agent's performance

GoFood MCP Tools for LangChain (12)

These 12 tools become available when you connect GoFood to LangChain via MCP:

accept_order

Accept a pending GoFood order

cancel_order

Cancel a GoFood order

create_promo

Create a new promo for a GoFood outlet

get_catalog

Get the full menu catalog for a GoFood outlet

get_outlet_info

Get details for a specific GoFood outlet

link_outlet

Link a GoFood outlet to the integration

list_linked_outlets

List all linked GoFood outlets

list_promos

List all promos for a GoFood outlet

mark_order_prepared

Mark a GoFood order as food prepared

unlink_outlet

Unlink a GoFood outlet from the integration

update_catalog

Update the menu catalog for a GoFood outlet

update_menu_stocks

Update menu item stock levels for a GoFood outlet

Example Prompts for GoFood in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with GoFood immediately.

"List all my linked GoFood outlets."

"Show me the full menu catalog for outlet out_001."

"Accept order ORD-12345 for outlet out_001, type food."

"Create a 20% discount promo for outlet out_001 valid this weekend."

Troubleshooting GoFood MCP Server with LangChain

Common issues when connecting GoFood to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GoFood + LangChain FAQ

Common questions about integrating GoFood MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.