How to Use the Mailshake MCP in Mastra AI
Build complex outreach workflows in Mastra AI. Automate your Mailshake sequences with conditional logic and error recovery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailshake MCP to Mastra AI
Create your Vinkius account to connect Mailshake 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.
Conditional campaign control in Mastra AI
Use `pause_outreach_campaign` inside your workflow engine to stop outreach if a lead responds negatively. You set the rules, and the agent acts the moment the criteria are met. This removes manual oversight from your sales cycle. The system monitors the state and reacts without you needing to press a button.
Automated prospect ingestion in Mastra AI
Use `add_prospects_to_campaign` to push leads from your CRM into active Mailshake sequences automatically. It handles the batching logic so your campaigns stay full. Failures trigger your defined retry policies. If an API call hits a rate limit, the agent waits and tries again automatically.
Granular lead tracking in Mastra AI
Query `list_campaign_leads` to identify stalled prospects that require human intervention. Your agent filters the list and alerts your team via your preferred channel. This keeps your pipeline clean. You stop wasting time on dead leads and focus on prospects that actually engage with your messaging.
Set up Mailshake MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All Mailshake tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "mailshake-mcp-client",
servers: {
"mailshake-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Mailshake Agent",
model: openai("gpt-4o"),
instructions: "You have access to Mailshake tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Mailshake transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailshake. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Mailshake MCP in Mastra AI
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