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 CrewAI 12 tools — connect in under 2 minutes

Name: GoFood
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to GoFood through Vinkius, pass the Edge URL in the `mcps` parameter and every GoFood tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="GoFood Specialist",
    goal="Help users interact with GoFood effectively",
    backstory=(
        "You are an expert at leveraging GoFood tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in GoFood "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, GoFood becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GoFood tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from GoFood

Why Use CrewAI with the GoFood MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with GoFood through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

GoFood + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries GoFood for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries GoFood, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain GoFood tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries GoFood against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

GoFood MCP Tools for CrewAI (12)

These 12 tools become available when you connect GoFood to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

GoFood + CrewAI FAQ

Common questions about integrating GoFood MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.