Compatible with every major AI agent and IDE
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_listingandlist_drafts. - Order Fulfillment — Retrieve orders, mark them as shipped or picked up, and track your seller sales with
retrieve_ordersandship_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 listings to a sale
Bump a listing
Requires a JSON payload matching Reverb listing schema. Create a new Reverb listing
Delete a draft listing
Delete an image from a listing
Disable vacation mode for the shop
Enable vacation mode for the shop
End an active Reverb listing
Can filter by SKU or state. Find seller listings
Get bump info for a listing
Get received feedback
Get sent feedback
Find image IDs for a listing
Get payment information for an order
Get eligible payment methods
Get line items for a payout
Get vacation mode status
Leave feedback for a buyer
List messages and conversations
List all draft listings
List earnings payouts
Mark an order as picked up
Publish a draft Reverb listing
Remove a bump from a listing
Remove listings from a sale
Reply to a conversation
Retrieve selling orders
Mark an order as shipped
Update an existing Reverb listing
View seller sales
Why LlamaIndex?
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.
- —
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 in LlamaIndex
Reverb and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Reverb to LlamaIndex 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.
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 |
Why teams choose Vinkius for Reverb in LlamaIndex
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 LlamaIndex 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.

* 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
How Vinkius secures
Reverb for LlamaIndex
Every tool call from LlamaIndex to the Reverb MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 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.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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