How to Use the Harmonic MCP in Mastra AI

Q: How do I find active venture capital firms?

You use searchinvestors to locate specific investment firms and angels. Your agent can then call getinvestorportfolio to analyze their active investments and find co-investment partners.

Build resilient, automated deal-flow workflows using Mastra AI and the Harmonic MCP Server.

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Connect Harmonic MCP to Mastra AI

Create your Vinkius account to connect Harmonic 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 Harmonic with Mastra AI

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Automated deal-flow pipelines with Mastra AI

The `search_startups` tool serves as the entry point for your automated sourcing workflows in Mastra AI. You configure a trigger based on specific industry filters, and the Mastra AI agent initiates a search to find new companies matching your investment thesis. If a search fails or hits an API limit, Mastra AI handles the backoff automatically. The system passes the raw startup list to the next step in your pipeline, ensuring your sourcing runs 24/7 without manual intervention.

Multi-step founder enrichment workflows

The `enrich_person` tool extracts professional histories and social signals for founders discovered in your sourcing runs. Within Mastra AI, you chain this tool with `enrich_company` to build a complete profile of both the startup and its leadership team. You set up conditional branching in Mastra AI to handle incomplete data. If a founder's profile lacks social links, the workflow automatically triggers `list_traction_signals` to gather web presence data, ensuring your CRM is always populated with verified leads.

Automated funding track alerts

The `list_funding_rounds` tool retrieves historical financing events for targeted startups in your pipeline. Mastra AI uses this data to track market momentum, letting you build workflows that flag companies raising capital in specific sectors. Your Mastra AI agent monitors these rounds and cross-references them with `get_company_stats` to verify headcount growth. When a company hits your growth threshold, the workflow automatically alerts your investment team via your configured communication channels.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Harmonic. 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 Harmonic MCP in Mastra AI

You use a step-by-step workflow. Your Mastra AI agent triggers a background request and uses `get_enrichment_status` to poll for completion before moving to the next stage of company analysis.

Yes, you can branch your workflows based on live data. For example, if `get_company_stats` shows a headcount decline, your Mastra AI agent can route that company to a watch list instead of an active pipeline.

The framework has built-in retry logic with exponential backoff. If `enrich_company` encounters a temporary network issue, Mastra AI retries the call automatically, preventing your data pipeline from breaking.

You use `search_investors` to locate specific investment firms and angels. Your agent can then call `get_investor_portfolio` to analyze their active investments and find co-investment partners.

All professional histories and personal social signals processed by `enrich_person` are handled in a zero-trust environment. The server uses ephemeral runtime instances, meaning no personal data is cached or stored after the workflow execution completes.

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