Mercado Livre Interactions MCP. Track buyer questions and monitor seller compliance data.
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Mercado Livre Interactions connects your AI agent to Mercado Livre's seller backend. Use it to check reputation status, list unanswered buyer questions, reply to messages, and pull hard metrics on late shipments or cancellations.
What your AI agents can do
Answer question
Sends a reply directly to an unanswered question from a buyer on the platform.
Get messages
Retrieves all message history and communication logs for a specific sale or order ID.
Get metrics
Gets detailed, quantifiable seller performance metrics like late shipments and claim rates.
Retrieves your current seller reputation level (e.g., MercadoLíder) and associated performance metrics.
Fetches a list of buyer questions that haven't received a response, optionally filtering by item ID.
Allows your agent to compose and send a direct reply to an unanswered question from a buyer.
Pulls the full communication log between buyers and sellers for a specific sale or order.
Gathers detailed metrics, including percentages of late shipments, cancellations, and claims filed.
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Mercado Livre Interactions: 5 Tools for E-commerce Ops
These five tools let your AI agent manage everything from checking compliance scores to replying to buyers on Mercado Livre.
019d75d6answer question
Sends a reply directly to an unanswered question from a buyer on the platform.
019d75d6get messages
Retrieves all message history and communication logs for a specific sale or order ID.
019d75d6get metrics
Gets detailed, quantifiable seller performance metrics like late shipments and claim rates.
019d75d6get questions
Lists all outstanding buyer questions; an optional item ID can filter the list down to a specific product.
019d75d6get reputation
Returns your current seller reputation level, including the associated status and key performance metrics.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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- Built in DLP, auth, and compliance on every call
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- Publish to catalog or keep private
Make Your AI Do More
Start with Mercado Livre Interactions, 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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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
This server connects your AI agent straight into Mercado Livre’s seller backend. It lets you manage your sales operations—checking reputation, handling buyer questions, and pulling hard performance metrics—all without jumping between tabs.
Your agent uses the get_reputation tool to pull your current seller status, which includes key performance indicators and your overall standing on the platform. You can also use get_metrics to get detailed numbers on things like claim rates or how often you ship late. Beyond general metrics, get_messages pulls the entire communication history for any specific order ID or sale, so your agent sees every back-and-forth between buyers and sellers.
If something's wrong with a product listing, you can run get_questions, which lists all outstanding buyer questions. You can even filter that list down to a single item by providing an optional item ID for a tighter search. When your agent finds one of those unanswered questions, it uses the answer_question tool to draft and send a direct reply right there on the platform.
Handling Buyer Communication:
Your AI client retrieves all messages using get_messages, giving you a complete log tied to an order or sale. If a buyer asks something and leaves it unanswered, your agent uses get_questions to list those outstanding queries; this tool allows you to narrow the search by specifying a product's ID.
Reputation and Performance Tracking:
The get_reputation tool returns your current seller level—the status they give you—along with associated metrics. You get hard data on key performance indicators using get_metrics, which includes specific percentages for things like late shipments, cancellations, and claims filed against the sale.
How It Works In Practice:
When you need to check what's up, your AI client simply calls a tool function, say get_questions. The MCP Server executes that API call immediately, pulling structured data back for your agent. If you want to know how many people messaged about a specific order, the agent uses get_messages and passes in the relevant sale ID.
When it comes time to reply to a buyer who’s waiting on an answer, the agent first runs get_questions, pulls the query text, and then executes answer_question using that data. The system is built so your AI client can talk directly to these tools to manage everything from reputation status checks to sending direct replies.
How Mercado Livre Interactions MCP Works
- 1 Subscribe to the server and provide your Mercado Livre OAuth2 Access Token.
- 2 Your AI client invokes a specific tool function (e.g.,
get_metrics) in natural language. - 3 The MCP Server executes the required API calls and returns structured data back to your agent.
The bottom line is you use it to expose complex e-commerce operational data through simple, conversational commands.
Who Is Mercado Livre Interactions MCP For?
This server targets high-volume sellers and support staff. If your job involves monitoring seller compliance or managing hundreds of buyer queries daily, this saves you from manual dashboard logging in 4 different tabs.
Uses it to quickly check if their reputation status is slipping and uses answer_question immediately when a query comes in.
Runs the agent against get_messages and get_metrics to instantly build a full picture of an order's history, without logging into the main portal.
Uses it to audit performance by running get_reputation and comparing those results against overall sales goals.
What Changes When You Connect
- Instantly address unanswered queries. When
get_questionsshows a gap, your agent usesanswer_questionto reply immediately, keeping the sales momentum going. - Stop guessing about performance. Run
get_metricsto pull precise numbers on late shipments and cancellations, allowing you to flag issues before they affect your standing. - Maintain seller trust with one call.
get_reputationgives you the Green/Yellow/Red status instantly, letting you know exactly what needs attention from a compliance standpoint. - Build full order context fast. If there's an issue, use
get_messagesto pull the entire communication thread for that sale, eliminating manual log searching. - Audit your Q&A flow. By using
get_questions, you can identify product pain points or common buyer misunderstandings across your listings.
Real-World Use Cases
Handling a Slow Response Crisis
A seller notices their reputation is Yellow after several late shipments. Instead of manually checking the compliance dashboard, they prompt their agent: 'Check my metrics and unanswered questions.' The agent runs get_metrics to confirm 2% lateness and then uses get_questions to find three pending queries, allowing the seller to use answer_question immediately on all three.
Investigating a Dispute
A buyer claims an item wasn't delivered correctly. The support agent doesn't have time for multiple portals. They run the agent with: 'Show me the order history and any questions about this.' The agent runs get_messages to retrieve the full conversation log, providing all necessary context in seconds.
Pre-emptive Performance Check
A brand manager needs to know if a new product launch is impacting compliance. They prompt: 'What's my current reputation and how many questions are piling up for the new item?' The agent runs get_reputation for an overall view, then uses get_questions with the specific item ID to pinpoint exactly where attention is needed.
Responding After a Break
The seller returns from vacation. They ask their agent: 'What did I miss?' The agent runs get_metrics first, providing an immediate overview of late shipments and claims. Then it runs get_questions, giving the seller a prioritized list of unanswered queries to tackle.
The Tradeoffs
Checking data piecemeal
Logging into the site, checking metrics manually. Opening a second tab for messages. Then opening a third page just to see if there are questions.
→
Run your agent against the server. You can get everything in one go. Ask it: 'What's my status and any outstanding issues?' The agent coordinates calls to get_reputation, get_metrics, and get_questions automatically.
Assuming communication is enough
Only using the messaging system without checking core seller metrics. You might be responsive, but if you're shipping late, your reputation will fall anyway.
→
Always cross-reference. Start with get_metrics to see hard performance data (late shipments, claims). Then use get_questions and answer_question for the communication layer.
Ignoring message context
Replying to a question without knowing if there were previous arguments or specific details in the order history. The reply might be wrong.
→
Before replying, run get_messages for that sale. Use the retrieved conversation log as mandatory context when formulating your response via answer_question.
When It Fits, When It Doesn't
Use this server if your primary operational need is real-time data retrieval and communication management directly related to e-commerce sales on Mercado Livre. You need an agent to pull together multiple, disparate data points (reputation status + message history + performance rates) into a single narrative.
Don't use it if you are trying to manage inventory levels, process payments outside the platform, or write product descriptions. For those tasks, you'd need different tooling categories—like dedicated Inventory Management APIs or Content Generation services. This server is strictly for post-sale communication and seller performance auditing.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mercado Livre. 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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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 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking buyer issues shouldn't require jumping between dashboards.
Right now, when a buyer asks a question, you have to check the dashboard. Then, if it escalates into a dispute, you open another tab to view the message history. If you want to see your overall compliance risk, you navigate to a third section just for metrics.
With this MCP server, you ask your agent one thing: 'What's happening with my sales?' It calls `get_questions`, checks `get_messages`, and runs `get_metrics`—all in the background. You get a single, comprehensive summary of everything that needs attention.
Mercado Livre Interactions MCP Server: Control your seller performance.
You stop having to manually cross-reference if your poor response time (visible in `get_metrics`) is causing a drop in reputation (`get_reputation`). You can immediately check the unanswered questions using `get_questions` and run `answer_question` without leaving your chat window.
It's all about workflow speed. You get immediate, structured data that lets you act on compliance issues the second they pop up.
Common Questions About Mercado Livre Interactions MCP
How do I answer buyer questions? +
Use get_questions to list them, then answer_question with the question ID and your response text.
Why is my reputation yellow or red? +
Use get_metrics to check your specific performance indicators. Late shipments, cancellations, and negative claims usually lower your reputation level.
Can I see past conversations with buyers? +
Yes, use get_messages with the Order ID to retrieve the message history for that specific sale.
Can AI auto-respond to buyer questions? +
Yes! You can set up workflows that fetch new questions with get_questions and automatically respond using answer_question. Just be mindful that each response is final and visible to all buyers browsing the listing.
How do I use the get_metrics tool to check my performance stats? +
The get_metrics tool pulls detailed operational data. It reports specific numbers like late shipments percentage, cancellation rates, and claim counts directly from Mercado Livre.
Can I filter unanswered questions using the get_questions tool? +
Yes, you can narrow down results by providing an optional item ID. This limits the list of unanswered questions to only those associated with a specific product listing.
What do I need to set up the Mercado Livre Interactions server? +
You must first subscribe to the server and supply your valid OAuth2 Access Token for Mercado Livre. This token gives your AI client the necessary permissions to access your seller data.
Does get_messages require an order ID or sale identifier? +
Yes, the tool needs context. You must provide a specific sale reference so it retrieves the accurate communication log for that single transaction from the buyer.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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