How to Use the Agendor MCP in Mastra AI

Build resilient sales workflows with Mastra AI. Connect this MCP Server to your TypeScript agents with automatic retries and conditional branching.

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Connect Agendor MCP to Mastra AI

Create your Vinkius account to connect Agendor 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 Agendor with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate complex CRM workflows

Executing `create_organization` breaks workflows when the CRM API drops the connection. Mastra AI wraps your interactions in a resilient workflow engine that expects things to go wrong. You stop writing custom error handling for every single API call. If an agent hits a rate limit, the framework automatically retries with exponential backoff.

Chain Agendor tools with Mastra AI

Your agents can evaluate `list_tasks` responses on the fly and decide which path to take. Hardcoded pipelines belong in the past. An agent might pull the queue and spot an urgent follow-up. It immediately runs `list_deals` to check the opportunity value before alerting a manager.

Sync sales data safely

Calling `list_people` gives your workflow direct access to the source of truth. Moving data between systems usually requires messy middleware, but this MCP integration skips that entirely. You get reliable data synchronization without maintaining custom integration code. The server pulls clean directories straight into the agent's context.

Setup guide

Set up Agendor 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 Agendor 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: "agendor-mcp-client",
  servers: {
    "agendor-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Why Choose Vinkius

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Built-in savings

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One

place for every integration

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Common questions about Agendor MCP in Mastra AI

Run npm install @mastra/mcp@latest. Instantiate MCPClient with the Vinkius URL and spread the results of listTools() into your agent's configuration.

It does. The framework applies exponential backoff automatically if a creation command times out or drops the connection.

Yes. You can enforce requireToolApproval on destructive or sensitive actions, letting a manager approve new deals before the agent commits them.

Mastra auto-detects the best connection method. It negotiates between SSE and Streamable HTTP depending on your deployment environment.

Your institutional organization names and contact details run through an ephemeral, sandboxed environment. Vinkius destroys the execution context the second the workflow completes, keeping your data entirely private.

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