How to Use the Firefish MCP in Mastra AI

Q: How do I require approval for Firefish actions in Mastra AI?

Set requireToolApproval to true in your agent settings. This forces the agent to pause until a human clears the action.

Build resilient recruitment workflows for Firefish with Mastra AI. Automate your hiring pipeline with built-in retry logic.

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…and any MCP-compatible client

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Connect Firefish MCP to Mastra AI

Create your Vinkius account to connect Firefish 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 Firefish with Mastra AI

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Automated recruitment task branching

Use `list_jobs` and `get_job` within your Mastra workflows to decide the next step. If a job is closed, the agent can pivot to another task automatically. This keeps your hiring process moving without manual intervention. You define the conditional logic, and the agent handles the execution.

Resilient CRM entity management

Mastra handles the network calls for `create_candidate` and `get_contact` with built-in exponential backoff. If the CRM API hiccups, your workflow stays alive. You don't have to write custom retry code. Just define the tool call, and the framework ensures the request succeeds or fails gracefully.

Multi-step placement tracking

Chain `list_placements` and `list_actions` to build a complete history of candidate progress. Your agents can monitor these lists for changes and trigger alerts. It turns static data into an active monitoring system. The workflow engine keeps track of state, ensuring no candidate slips through the cracks.

Setup guide

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

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

const result = await agent.generate(
  "List recent Firefish 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 Firefish. 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.

Why Choose Vinkius

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place for every integration

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Common questions about Firefish MCP in Mastra AI

Add the server URL to your Mastra client configuration. The framework auto-detects the tools and makes them available to your agent tasks.

Yes. The workflow engine includes automatic retries with backoff settings. It's built into the MCP client implementation.

Set `requireToolApproval` to true in your agent settings. This forces the agent to pause until a human clears the action.

It does. You can use any of the 12 tools as steps in a larger, branching workflow. It's designed for exactly this kind of complexity.

The server runs in an ephemeral sandbox. No data persists outside your session, and you control access via your endpoint token.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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