Leadfeeder MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Leadfeeder through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"leadfeeder": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Leadfeeder Agent",
instructions:
"You help users interact with Leadfeeder " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Leadfeeder?"
);
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 Leadfeeder MCP Server
Connect your Leadfeeder tracking system to an AI agent to analyze high-quality B2B internet traffic. Track precise analytics without using heavy third-party dashboard setups directly in Cursor or Claude.
Mastra's agent abstraction provides a clean separation between LLM logic and Leadfeeder tool infrastructure. Connect 9 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
- Discover Target Leads: Fetch the list of verified companies engaging with your tracking pixel on specific domains.
- Visitor Analytics: Drill into session specifics of organizations interacting behind the scenes.
- Sales Pipeline: Identify key B2B traffic and prioritize new cold email targets or warm follow-ups immediately.
The Leadfeeder MCP Server exposes 9 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.
How to Connect Leadfeeder to Mastra AI via MCP
Follow these steps to integrate the Leadfeeder MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from Leadfeeder via MCP
Why Use Mastra AI with the Leadfeeder MCP Server
Mastra AI provides unique advantages when paired with Leadfeeder through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Leadfeeder 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 Leadfeeder 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
Leadfeeder + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Leadfeeder MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Leadfeeder, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Leadfeeder as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Leadfeeder on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Leadfeeder tools alongside other MCP servers
Leadfeeder MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Leadfeeder to Mastra AI via MCP:
get_account
Get details for a specific Leadfeeder account
get_custom_feed
Get details for a specific custom feed filter
get_lead
Get details for a specific lead
get_tracking_script
Get the tracking script for the account
list_account_visits
Get aggregate visits data across the entire account
list_accounts
Retrieve a list of accounts from Leadfeeder
list_custom_feeds
Retrieve the custom feeds active within a specific account
list_lead_visits
Get the website visits directly associated with a specific lead
list_leads
Retrieve a list of discovered leads within an account
Example Prompts for Leadfeeder in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Leadfeeder immediately.
"Analyze and list all identified corporate visitors targeting my site."
"Are there any manufacturing sector companies viewing our price points?"
"Highlight repeat prospects viewing documentation sections."
Troubleshooting Leadfeeder MCP Server with Mastra AI
Common issues when connecting Leadfeeder to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLeadfeeder + Mastra AI FAQ
Common questions about integrating Leadfeeder 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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Leadfeeder with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Leadfeeder to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.