Google ADKSDK

Reverb MCP Server

Bring Marketplace
to Google ADK

Name: Reverb MCP Server
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

Learn how to connect Reverb to Google ADK and start using 30 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Add To SaleBump ListingCreate ListingDelete DraftDelete Listing ImageDisable Vacation ModeEnable Vacation ModeEnd ListingFind ListingsGet Bump InfoGet Feedback ReceivedGet Feedback SentGet Listing ImagesGet Order PaymentGet Payment MethodsGet Payout Line ItemsGet Vacation StatusLeave FeedbackList ConversationsList DraftsList PayoutsMark Order Picked UpPublish ListingRemove BumpRemove From SaleReply To ConversationRetrieve OrdersShip OrderUpdate ListingView Seller Sales

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Reverb MCP Server?

Connect your Reverb seller account to any AI agent to manage your musical gear marketplace operations through natural conversation.

What you can do

Listing Management — Create, update, publish, or end listings and manage drafts efficiently using create_listing and list_drafts.
Order Fulfillment — Retrieve orders, mark them as shipped or picked up, and track your seller sales with retrieve_orders and ship_order.
Financial Insights — Access payment methods, list payouts, and inspect specific payout line items via list_payouts.
Customer Engagement — List conversations, reply to buyers, and manage feedback received or sent using reply_to_conversation.
Shop Operations — Toggle vacation mode and check your shop's current status with get_vacation_status.

How it works

Subscribe to this server
Enter your Reverb Personal Access Token
Start managing your gear shop from Claude, Cursor, or any MCP-compatible client

Who is this for?

Gear Sellers — quickly update prices or end listings without navigating the web interface
Shop Managers — handle customer inquiries and order shipping statuses directly from your workflow
Power Users — automate reporting on payouts and sales performance

Built-in capabilities (30)

add_to_sale

Add listings to a sale

bump_listing

Bump a listing

create_listing

Requires a JSON payload matching Reverb listing schema. Create a new Reverb listing

delete_draft

Delete a draft listing

delete_listing_image

Delete an image from a listing

disable_vacation_mode

Disable vacation mode for the shop

enable_vacation_mode

Enable vacation mode for the shop

end_listing

End an active Reverb listing

find_listings

Can filter by SKU or state. Find seller listings

get_bump_info

Get bump info for a listing

get_feedback_received

Get received feedback

get_feedback_sent

Get sent feedback

get_listing_images

Find image IDs for a listing

get_order_payment

Get payment information for an order

get_payment_methods

Get eligible payment methods

get_payout_line_items

Get line items for a payout

get_vacation_status

Get vacation mode status

leave_feedback

Leave feedback for a buyer

list_conversations

List messages and conversations

list_drafts

List all draft listings

list_payouts

List earnings payouts

mark_order_picked_up

Mark an order as picked up

publish_listing

Publish a draft Reverb listing

remove_bump

Remove a bump from a listing

remove_from_sale

Remove listings from a sale

reply_to_conversation

Reply to a conversation

retrieve_orders

Retrieve selling orders

ship_order

Mark an order as shipped

update_listing

Update an existing Reverb listing

view_seller_sales

View seller sales

Why Google ADK?

Google ADK natively supports Reverb as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 30 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

—
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 Reverb
—
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 Reverb tools with BigQuery, Vertex AI, and Cloud Functions

See it in action

Reverb in Google ADK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Reverb and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Reverb to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Google ADK →

Enterprise Security

Why teams choose Vinkius for Reverb in Google ADK

The Reverb 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. All 30 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Reverb details →

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

The Vinkius Advantage

How Vinkius secures
Reverb for Google ADK

Every tool call from Google ADK to the Reverb MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I see my unpublished listings or drafts?

Yes, you can use the list_drafts tool to retrieve all listings that are currently in draft state but not yet live on the marketplace.

How do I update the shipping status of a sold item?

Use the ship_order tool. You will need to provide the order ID and relevant shipping details to mark the transaction as fulfilled.

Is it possible to reply to buyer messages directly?

Absolutely. Use list_conversations to find the thread and reply_to_conversation to send your message back to the buyer.

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.