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Marketplacer MCP. Audit orders, products, and vendors in natural conversation.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Just plug in your AI agents and start using Vinkius.

Marketplacer MCP Server connects your AI agent directly to your enterprise marketplace backend. Use this server to manage product listings, audit complex order flows, and track seller performance without manual dashboard generation.

You can list products with `list_adverts`, check invoice details using `get_invoice`, or run custom data pulls across the entire schema via `graphql_query`.

It gives your agent full operational control over vendor management and logistics tracking.

What your AI agents can do

Get advert

Retrieves detailed metadata for a single product advert given its node ID.

Get invoice

Fetches the full details of one specific billing invoice using its node ID.

Graphql query

Runs any standard, custom GraphQL query against the Marketplacer endpoint to fetch arbitrary data points.

+ 6 more capabilities included
Audit Product Listings

List and retrieve detailed metadata for individual products (adverts), including pricing and variants.

Track Financial Transactions

Retrieve full order histories by listing invoices or getting granular details on a single billing record.

Manage Vendor Data

Fetch lists of third-party sellers and vendors to audit account statuses across the platform.

Monitor Logistics Flow

List and inspect shipment records, tracking an order's progress across multiple sellers.

Execute Custom Queries

Run sophisticated GraphQL queries to fetch specific data points that existing tools cannot reach.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Marketplacer MCP Server: 9 Tools for Commerce Operations

Use these nine specific functions to retrieve product metadata, audit invoices, list sellers, and run custom queries across your enterprise marketplace.

get019d75cf

get advert

Retrieves detailed metadata for a single product advert given its node ID.

get019d75cf

get invoice

Fetches the full details of one specific billing invoice using its node ID.

graphql019d75cf

graphql query

Runs any standard, custom GraphQL query against the Marketplacer endpoint to fetch arbitrary data points.

list019d75cf

list adverts

Lists multiple product items across the marketplace platform.

list019d75cf

list categories

Retrieves a list of all category taxonomies and hierarchies on the site.

list019d75cf

list invoices

Lists records for all registered orders/invoices on the platform, providing an overview of recent transactions.

list019d75cf

list sellers

Fetches a list of active third-party sellers and vendors on your marketplace.

list019d75cf

list shipments

Lists all recorded shipments, allowing you to track the fulfillment lifecycle of orders.

list019d75cf

list webhooks

Audits configured event subscriptions and webhooks to check if automated integrations are active and working.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Make Your AI Do More

Start with Marketplacer (Enterprise Marketplace Platform), then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Marketplacer MCP Server connects your AI agent straight into your enterprise marketplace backend. You're ditching manual dashboard generation; this server gives your agent full operational control over vendor management, product listings, and logistics tracking.

You can use this to manage everything from auditing seller accounts to checking out complex order flows without ever touching a web UI. Your agent handles deep data access by exposing tools for managing products, tracing invoices, vetting vendors, and running custom queries across the whole schema.

Auditing Product Listings

Need to know what's actually on sale? You can use list_adverts to pull a comprehensive list of every product item currently listed on the marketplace. If you only need details for one specific product, your agent grabs all the metadata—including pricing and variants—by running get_advert with just the node ID.

For mapping out how products are organized, it'll retrieve all category taxonomies and hierarchies using list_categories.

Tracking Financial Transactions

Handling money stuff requires precision. To get an overview of everything that's moved, your agent first runs list_invoices to pull a record for every registered order or invoice on the platform. If you need the full guts of one specific bill—maybe checking line items or tax details—it pulls those comprehensive records using get_invoice, again requiring only the node ID.

It gives you a complete audit trail for any financial movement that happens through your marketplace.

Managing Vendor and Seller Data

When it comes to third-party sellers, this server keeps you in the loop. Your agent fetches an entire roster of active vendors and sellers using list_sellers, letting you audit account statuses across the whole platform. You can check which automated integrations are running by reviewing configured event subscriptions and webhooks with list_webhooks.

Monitoring Logistics Flow

Tracking a product from listing to doorstep is complex, but your agent simplifies it. It lists all recorded shipments using list_shipments, allowing you to track an order's progress across multiple sellers and through the entire fulfillment lifecycle. This gives you real-time visibility into where everything's at.

Advanced Data Operations

When standard tools don't cut it, you use graphql_query. It runs any custom GraphQL query against the Marketplacer endpoint, letting your agent fetch specific data points that existing functions can't reach. This gives you total schema access to pull arbitrary information across the board.

Your agent doesn't just read data; it manages workflows by pulling all this disparate info together. It lets you check product listings, audit invoices and orders, track vendor accounts, monitor shipments, and run deep custom queries—all within a single operational flow.

How Marketplacer MCP Works

  1. 1 Subscribe the Marketplacer server and input your required API URL and API Key.
  2. 2 Ask your AI agent for a task (e.g., 'What are the latest 10 invoices?').
  3. 3 The agent calls the appropriate tool (list_invoices), gets the raw data, and presents the summarized result to you.

The bottom line is: your AI client executes complex backend operations using the tools, so you get direct answers without writing code or navigating dashboards.

Who Is Marketplacer MCP For?

This server targets marketplace managers and operations leads who are tired of spending hours manually building reports from disparate dashboards. If your job involves auditing cross-vendor performance, tracking logistics across different fulfillment centers, or verifying complex order line items, this is for you.

Marketplace Manager

Uses the agent to monitor overall order flow and vendor health. They ask things like, 'List all sellers who haven't listed an advert in 30 days,' or 'What were last week's total tax distributions?'

Dropshipping Operations Lead

Needs to audit fulfillment statuses across multiple independent vendors. They use list_shipments and get_invoice together to ensure cross-vendor payment and delivery tracking is accurate.

Software Developer

Tests API endpoints and data schemas directly from their terminal using the graphql_query tool, verifying product attribute mappings without writing boilerplate code.

What Changes When You Connect

  • Deep Audit Capability: Stop manually pulling reports. By calling list_invoices and then using get_invoice, your agent pulls the exact line items, tax distributions, and customer data you need for an audit, instantly.
  • Full Schema Access: When simple list functions fail, use the graphql_query tool. This lets you run ad-hoc queries to pull specific data points (like a legacy ID or inventory count) that aren't exposed through dedicated endpoints.
  • Vendor Oversight: Quickly audit your supply chain health. Use list_sellers to see who is active, then use list_adverts to verify how many products each vendor has listed right now.
  • Fulfillment Tracking: Never lose track of an order again. The agent can check the full journey by calling list_shipments, providing real-time status updates across your distributed seller network.
  • System Health Check: Don't wait for failure alerts. Run list_webhooks to ensure all automated integrations are configured correctly, validating that your marketplace processes aren't breaking silently.

Real-World Use Cases

01

Investigating a Missing Order

A customer complains their order is late. Instead of checking three different dashboards, you ask the agent to run list_invoices for that user's ID. The agent finds the invoice, then uses get_invoice and list_shipments simultaneously to tell you exactly which seller holds the item up and why.

02

Auditing Tax Compliance

You need to verify that all tax rates were applied correctly across a batch of sales. You prompt the agent to run list_invoices for Q3, then ask it to filter those results by tax distribution payload and flag any inconsistencies immediately.

03

Checking Seller Compliance

You suspect some vendors are inactive or listing unauthorized items. You use list_sellers first to get a roster. Then, you run list_adverts against that list, filtering by date range to see which sellers haven't updated their product catalog recently.

04

Pulling Cross-Product Data

The standard tools don't let you compare a seller's current advertised inventory with the historical data. You use graphql_query to run a custom query that joins product metadata (list_adverts) with vendor IDs (list_sellers), giving you a comprehensive report.

The Tradeoffs

Assuming Consistency

A user runs list_adverts to get product data, then assumes that when they run get_advert, the data will be perfect. But if inventory changed between calls, the data might mismatch.

Don't rely on sequential list-then-get operations for critical data points. For complex checks involving multiple entities (like product and seller), always execute a single, comprehensive graphql_query to ensure all related fields are pulled in one atomic request.

Ignoring the Schema

A developer tries to check shipment status by only looking at the invoice details. This fails because logistics data is separate from billing records.

Always cross-reference your tools. To track a full order, you must call list_invoices (for payment), then use get_invoice for line items, and finally call list_shipments to verify fulfillment status.

Over-relying on the UI

Trying to find out if a key integration is working by just looking at a dashboard. Dashboards often show 'last successful run,' not real-time truth.

Always verify automated systems using list_webhooks. This tool explicitly audits configured event subscriptions, giving you a direct view of your platform's automation status.

When It Fits, When It Doesn't

Use this server if your primary need is auditing and data aggregation across disparate marketplace functions (products, orders, vendors). You need to ask questions that require joining multiple datasets—for example, 'Show me all invoices from sellers who have fewer than 5 active adverts.'

Don't use this if you just want a simple list of names or categories. If all you need is to know the total number of product types, list_categories works fine. However, if you need to filter those categories by specific attributes (like 'only show premium electronics'), then you must jump straight into using graphql_query. Think of it this way: simple lists are for browsing; complex queries are for solving problems.

If your goal is debugging or schema verification, the dedicated tools (get_advert, list_adverts) provide structured safety. If your goal is 'What does everything look like right now?' use graphql_query. This server handles both roles, but understanding when to call which tool saves you time.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Marketplacer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_advert get_invoice graphql_query list_adverts list_categories list_invoices list_sellers list_shipments list_webhooks

Tracking marketplace performance means jumping between at least four different dashboard tabs.

Today, auditing a single vendor's flow is painful. You have to check the 'Seller Dashboard' for their advert count; then switch to 'Orders' to see recent sales; next, go to 'Shipments' to track fulfillment; and finally, pull the 'Invoices' tab just to confirm payment details. It’s a copy-paste nightmare that takes 15 minutes per vendor.

With this MCP server, you ask your agent one question: 'Audit Vendor X's performance.' The agent automatically coordinates calls across `list_adverts`, `get_invoice`, and `list_shipments`. You get the full picture in a single chat response. Period.

Using the Marketplacer MCP Server to manage vendor data via `list_sellers`.

Before, finding all active vendors required running reports on different date ranges and manually cross-referencing IDs. You’d get a list of 'registered' sellers from one tool, but you'd have no way to know if they were actually *selling* today.

Now, `list_sellers` gives you the full vendor roster instantly. Your agent can then pair that list with other tools—like checking their ad count (`list_adverts`)—to build a single, actionable report on who is live and selling right now. It’s precise.

Common Questions About Marketplacer MCP

How do I find out the details for one specific product using get_advert? +

You pass the node ID of the advert directly to get_advert. This tool pulls all metadata—pricing, variants, descriptions—for that single item. It's faster than listing everything and filtering.

Can I list every active vendor on my marketplace using list_sellers? +

Yes. list_sellers fetches a complete roster of third-party sellers and vendors currently registered on the platform. You can then use this list to audit their status.

What is the best way to check if my webhooks are set up correctly? Use list_webhooks? +

To verify system integrations, call list_webhooks. This tool audits your configured event subscriptions and ensures that automated workflows—like order updates or tax changes—are functional.

Do I need to run a GraphQL query for every piece of data? +

No. Use the specialized tools first (e.g., list_invoices). Only default to graphql_query if you need to join two or more distinct datasets that have no dedicated single tool endpoint.

When I use `list_invoices`, how can I ensure the response contains all the necessary tax and line item details? +

The tool retrieves detailed payloads for every invoice. You'll find granular data reflecting individual line items, specific tax distributions, and full customer information.

If I run `list_adverts` and the product catalog is massive, how do I handle pagination? +

The tool supports pagination. Check the response body for cursor tokens or a 'next page' link; you must pass these identifiers back into subsequent calls to get all records.

What authentication method does `graphql_query` require to run complex queries? +

You must provide your Marketplacer API URL and an active API Key. The server uses these credentials during the connection phase for secure query execution.

Using `list_shipments`, can I track a single order that passes through multiple vendors? +

Yes, the shipment records track the full fulfillment lifecycle. The output details which specific seller handled each segment of the delivery and shows the final status.

Can I retrieve product details using GraphQL identifiers through my agent? +

Yes. Use the get_advert tool and provide the specific GraphQL Node ID. Your agent will fetch the full record, including descriptions, pricing arrays, and variants directly from the Marketplacer schema.

How do I check recent orders on my marketplace through a conversation? +

The list_invoices tool allows your agent to retrieve recent order invoices. You'll see the amount, status, and associated seller for each order, helping you monitor high-level marketplace activity instantly.

Can my agent run custom GraphQL queries against the Marketplacer endpoint? +

Absolutely. Use the graphql_query tool to execute sophisticated custom queries. You can provide the query string and optional JSON variables, and your agent will return the raw GraphQL response payload securely.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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