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

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

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Reverb as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Reverb MCP Server for LlamaIndex 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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Reverb. "
            "You have 30 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Reverb?"
    )
    print(response)

asyncio.run(main())

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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 Reverb MCP Server

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

LlamaIndex agents combine Reverb tool responses with indexed documents for comprehensive, grounded answers. Connect 30 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 30 tools from Reverb

Why Use LlamaIndex with the Reverb MCP Server

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

Data-first architecture: LlamaIndex agents combine Reverb tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Reverb tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Reverb, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Reverb tools were called, what data was returned, and how it influenced the final answer

Reverb + LlamaIndex Use Cases

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

Hybrid search: combine Reverb real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Reverb to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Reverb for fresh data

Analytical workflows: chain Reverb queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Reverb in LlamaIndex

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

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

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

"List my recent payouts and their amounts."

Troubleshooting Reverb MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Reverb + LlamaIndex FAQ

Common questions about integrating Reverb MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Reverb tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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