How to Use the FishBase MCP in Mastra AI

Q: Can Mastra AI handle complex FishBase data structures?

Yes. By utilizing getdocs, the agent parses the schema before executing queries. This ensures the output matches your expected format.

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Connect FishBase MCP to Mastra AI

Create your Vinkius account to connect FishBase 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 FishBase with Mastra AI

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Automated taxonomic lookup workflows

Chain your research steps using `list_comnames` within a Mastra agent. If a query fails, the framework automatically retries the operation based on your defined policy. This ensures your database remains consistent even if the connection drops. You define the logic, and the agent handles the execution.

Version-controlled data fetching

Use `get_versions` to pin your workflows to specific database snapshots. This prevents your research pipeline from breaking when the source data updates. You gain total control over the data lifecycle. Every agent step uses the exact version you specified in the configuration.

Schema-aware agent responses

Provide `get_docs_by_table` to your agents so they understand the structure of the data they are processing. This prevents hallucinated queries that don't match the table layout. Your agents act with precision, only calling functions that are supported by the current schema. It turns raw API documentation into actionable agent intelligence.

Setup guide

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

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

const result = await agent.generate(
  "List recent FishBase 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 FishBase. 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 FishBase MCP in Mastra AI

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

Yes. You can configure exponential backoff in your Mastra workflow definition. If `get_heartbeat` fails, the agent will wait and try again.

Use the tool approval feature in your agent setup. This forces a human-in-the-loop for sensitive operations like bulk data retrieval.

Yes. By utilizing `get_docs`, the agent parses the schema before executing queries. This ensures the output matches your expected format.

Security is enforced at the transport layer. Vinkius provides an isolated environment for your server, ensuring your taxonomic lookups remain private.

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