Can the AI forcefully complete an active marketplace payment transition?

Absolutely. Through the `transition_transaction` method, your prompt can dictate the order pipeline. Ensure you pass the specific UUID of the order and the explicit, configured transition name (e.g., "transition/accept" or "transition/complete") to force the lifecycle into its subsequent operational phase immediately.

Why use the Integration API instead of the Marketplace API?

Because the `Integration API` is the unadulterated administrator backend designed for secure backend logic rather than client interfaces. This permits system-level moderation, transaction configuration, and override state.

Can this integration modify review ratings directly?

Currently, the integration specifically implements `list_reviews` as a query mechanism tailored exclusively around monitoring and auditing capabilities. It does not actively expose a write mutation structurally to alter or destroy existing community integrity ratings.

Sharetribe MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: Sharetribe
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Sharetribe as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="sharetribe_agent",
    instruction=(
        "You help users interact with Sharetribe "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

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 Sharetribe MCP Server

Grant your AI agent (like Claude or Cursor) absolute administrative dominion over your custom marketplace. The Sharetribe MCP equips your LLM to act as a fully autonomous moderator and operations manager. Forget navigating complex vendor panels—now you can manage supply, moderate transactions, and govern your community via natural conversational prompts interacting deeply with your Integration API.

Google ADK natively supports Sharetribe as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Inventory & Listing Moderation — Crawl through vendor catalogs via list_listings. Drill down seamlessly with get_listing and publicly publish vetted entries dynamically using approve_listing.
Live Transaction Steering — Audit ongoing orders, payments, and booking pipelines with list_transactions. Have an order that needs fulfillment? Force operational momentum by applying the transition_transaction verb.
Community & Vendor Auditing — Interrogate the platform using list_users and get_user to investigate behavioral profiles, while constantly scanning aggregated list_reviews to maintain healthy interactions.

The Sharetribe MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK 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 Sharetribe to Google ADK via MCP

Follow these steps to integrate the Sharetribe MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Sharetribe via MCP

Why Use Google ADK with the Sharetribe MCP Server

Google ADK provides unique advantages when paired with Sharetribe through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Sharetribe

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Sharetribe tools with BigQuery, Vertex AI, and Cloud Functions

Sharetribe + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Sharetribe MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Sharetribe and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Sharetribe tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Sharetribe regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Sharetribe

Sharetribe MCP Tools for Google ADK (9)

These 9 tools become available when you connect Sharetribe to Google ADK via MCP:

approve_listing

Approves a pending listing

get_listing

Retrieves details for a specific listing

get_transaction

Retrieves details for a specific transaction

get_user

Retrieves details for a specific user

list_listings

Lists marketplace listings

list_reviews

Lists marketplace reviews

list_transactions

Lists marketplace transactions

list_users

Lists marketplace users

transition_transaction

g., "confirm", "complete"). Transitions a transaction to a new state

Example Prompts for Sharetribe in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Sharetribe immediately.

"Retrieve all listings that are currently stuck in the 'pendingApproval' state."

"Retrieve the details and lifecycle state of the specific transaction bound to the order ID 9c42c2-8491-a9f."

Troubleshooting Sharetribe MCP Server with Google ADK

Common issues when connecting Sharetribe to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Sharetribe + Google ADK FAQ

Common questions about integrating Sharetribe MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.