How to Use the Funil de Vendas MCP in Mastra AI

Q: How do I register the Funil de Vendas MCP Server in Mastra AI?

Instantiate the MCPClient with your Vinkius HTTP endpoint. Once registered, call listTools() and spread them directly into your Mastra agent's tool configuration block to begin automation.

Q: How does Mastra AI handle lead source tracking with Funil de Vendas?

The agent queries listleadorigins to identify valid marketing channels. It then maps incoming webhooks to these exact origins before calling createnewdeallead, preventing bad tracking data from corrupting your analytics.

Q: Can I build multi-step sales loops using Funil de Vendas and Mastra AI?

Yes. You can chain tools like listcrmopportunities to find stagnant deals, then run a loop that uses createcrmactivity to prompt reps to follow up on those specific accounts.

Q: How is my Funil de Vendas pipeline data protected within Mastra AI?

Your raw deal details and custom fields from listcrmcustomfields are processed locally within your Mastra deployment. Vinkius secures the transport layer with isolated V8 sandboxes, keeping the MCP connection isolated and encrypted.

Build self-healing sales workflows by connecting Mastra AI to your Funil de Vendas CRM.

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Connect Funil de Vendas MCP to Mastra AI

Create your Vinkius account to connect Funil de Vendas to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Funil de Vendas with Mastra AI

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Self-healing CRM updates via Mastra AI

The `check_crm_api_health` tool acts as the primary gatekeeper for all automated sales workflows in your system. Mastra AI uses this endpoint to verify API availability before running complex multi-step syncs, pausing execution if the CRM is undergoing maintenance. If a write fails due to rate limits, Mastra's built-in retry engine backs off exponentially before trying again. This keeps your pipeline intact, ensuring that critical updates like `update_crm_activity` are never lost in transit during high-traffic periods.

Smart lead distribution with MCP Server tools

The `list_sales_vendors` tool retrieves your active sales team members directly from the CRM. Mastra AI workflows ingest this list to route new opportunities to the right rep based on workload, region, or vertical. When a new inquiry hits `create_new_deal_lead`, the agent cross-references `list_lead_origins` to categorize the source. It then assigns the deal and triggers `create_crm_activity` to schedule an immediate introductory call for the assigned vendor.

Automated post-mortems for lost deals

The `list_loss_motives` tool pulls your predefined reasons for closed-lost opportunities. Mastra AI monitors your pipeline, and when a deal is marked lost, it triggers a workflow that queries these motives to categorize the failure. Using this MCP Server, the agent then uses `update_crm_activity` to log a final debrief task. This automated loop ensures your sales operations team gets clean, structured feedback on why deals fall through without requiring reps to fill out endless forms.

Setup guide

Set up Funil de Vendas MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Funil de Vendas tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "funil-de-vendas-alternative-mcp-client",
  servers: {
    "funil-de-vendas-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Funil de Vendas Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Funil de Vendas tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Funil de Vendas transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Funil de Vendas. 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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Common questions about Funil de Vendas MCP in Mastra AI

Instantiate the `MCPClient` with your Vinkius HTTP endpoint. Once registered, call `listTools()` and spread them directly into your Mastra agent's tool configuration block to begin automation.

Yes. You can configure Mastra's workflow engine to pause and request manual confirmation before executing critical state changes like `create_new_deal_lead` or updating active opportunities.

The agent queries `list_lead_origins` to identify valid marketing channels. It then maps incoming webhooks to these exact origins before calling `create_new_deal_lead`, preventing bad tracking data from corrupting your analytics.

Yes. You can chain tools like `list_crm_opportunities` to find stagnant deals, then run a loop that uses `create_crm_activity` to prompt reps to follow up on those specific accounts.

Your raw deal details and custom fields from `list_crm_custom_fields` are processed locally within your Mastra deployment. Vinkius secures the transport layer with isolated V8 sandboxes, keeping the MCP connection isolated and encrypted.

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