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Reverb MCP Server for LangChainGive LangChain instant access to 30 tools to Add To Sale, Bump Listing, Create Listing, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

The Reverb MCP Server for LangChain is a standout in the Ecommerce category — giving your AI agent 30 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "reverb": {
            "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 Reverb, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Reverb
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 Reverb MCP Server

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

LangChain's ecosystem of 500+ components combines seamlessly with Reverb through native MCP adapters. Connect 30 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

  • 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.

The Reverb MCP Server exposes 30 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 30 Reverb tools available for LangChain

When LangChain connects to Reverb through Vinkius, your AI agent gets direct access to every tool listed below — spanning marketplace, musical-instruments, order-fulfillment, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add to sale on Reverb

Add listings to a sale

bump

Bump listing on Reverb

Bump a listing

create

Create listing on Reverb

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

delete

Delete draft on Reverb

Delete a draft listing

delete

Delete listing image on Reverb

Delete an image from a listing

disable

Disable vacation mode on Reverb

Disable vacation mode for the shop

enable

Enable vacation mode on Reverb

Enable vacation mode for the shop

end

End listing on Reverb

End an active Reverb listing

find

Find listings on Reverb

Can filter by SKU or state. Find seller listings

get

Get bump info on Reverb

Get bump info for a listing

get

Get feedback received on Reverb

Get received feedback

get

Get feedback sent on Reverb

Get sent feedback

get

Get listing images on Reverb

Find image IDs for a listing

get

Get order payment on Reverb

Get payment information for an order

get

Get payment methods on Reverb

Get eligible payment methods

get

Get payout line items on Reverb

Get line items for a payout

get

Get vacation status on Reverb

Get vacation mode status

leave

Leave feedback on Reverb

Leave feedback for a buyer

list

List conversations on Reverb

List messages and conversations

list

List drafts on Reverb

List all draft listings

list

List payouts on Reverb

List earnings payouts

mark

Mark order picked up on Reverb

Mark an order as picked up

publish

Publish listing on Reverb

Publish a draft Reverb listing

remove

Remove bump on Reverb

Remove a bump from a listing

remove

Remove from sale on Reverb

Remove listings from a sale

reply

Reply to conversation on Reverb

Reply to a conversation

retrieve

Retrieve orders on Reverb

Retrieve selling orders

ship

Ship order on Reverb

Mark an order as shipped

update

Update listing on Reverb

Update an existing Reverb listing

view

View seller sales on Reverb

View seller sales

Connect Reverb to LangChain via MCP

Follow these steps to wire Reverb into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 30 tools from Reverb via MCP

Why Use LangChain with the Reverb MCP Server

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

01

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

02

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

03

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

04

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

Reverb + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Reverb in LangChain

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

01

"Find all my active listings with the SKU 'GUITAR-001'."

02

"Check if my shop is currently in vacation mode."

03

"List my recent payouts and their amounts."

Troubleshooting Reverb MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Reverb + LangChain FAQ

Common questions about integrating Reverb MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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