AeroLeads MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Add New Lead, Delete Lead, Find Email By Name, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect AeroLeads through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The AeroLeads app connector for Mastra AI is a standout in the Sales Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"aeroleads": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "AeroLeads Agent",
instructions:
"You help users interact with AeroLeads " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with AeroLeads?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AeroLeads MCP Server
Connect your AeroLeads account to any AI agent and take full control of your B2B lead generation and high-fidelity contact enrichment workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and AeroLeads tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Verified Email Orchestration — Instantly find professional email addresses using prospect names and company domains with high-fidelity verification status
- LinkedIn Enrichment Intelligence — Programmatically retrieve over 60 data points from LinkedIn URLs, including verified phone numbers, job roles, and skills
- Prospect Lifecycle Management — List and manage your captured leads programmatically, or create new high-fidelity records directly through your agent
- Domain Discovery Architecture — Find all professional contacts associated with a specific company domain to identify key decision-makers programmatically
- Operational Monitoring — Track your remaining account credits and monitor team activity directly through your agent for instant performance reporting
The AeroLeads MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 AeroLeads tools available for Mastra AI
When Mastra AI connects to AeroLeads through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-prospecting, email-verification, lead-enrichment, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Manually add lead
Remove captured lead
Find email by name
Get profile info
Get credit status
Get full lead info
Enrich LinkedIn profile
List your leads
List lead lists
List account users
List active webhooks
Find leads in domain
Connect AeroLeads to Mastra AI via MCP
Follow these steps to wire AeroLeads into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the AeroLeads MCP Server
Mastra AI provides unique advantages when paired with AeroLeads through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AeroLeads without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every AeroLeads tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
AeroLeads + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the AeroLeads MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query AeroLeads, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed AeroLeads as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query AeroLeads on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using AeroLeads tools alongside other MCP servers
Example Prompts for AeroLeads in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with AeroLeads immediately.
"Find the email for 'Elon Musk' at 'tesla.com'."
"Enrich the profile for this LinkedIn URL: 'https://linkedin.com/in/example'."
"Search for all leads in the 'vinkius.com' domain."
Troubleshooting AeroLeads MCP Server with Mastra AI
Common issues when connecting AeroLeads to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAeroLeads + Mastra AI FAQ
Common questions about integrating AeroLeads MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.