How to Use the FlowiseAI MCP in Mastra AI

Q: Can I use FlowiseAI to list leads in Mastra AI?

Absolutely. Use the listflowleads tool to pull captured data. Your agent can then process these leads and perform follow-up actions.

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Connect FlowiseAI MCP to Mastra AI

Create your Vinkius account to connect FlowiseAI 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 FlowiseAI with Mastra AI

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Perplexity

Branching workflows with FlowiseAI

Use `execute_chatflow_prediction` within your Mastra agent to trigger complex logic. If the flow returns a specific state, your agent can decide the next branch. This setup allows you to build multi-step processes that rely on visual logic. Your agent handles the decision-making while the MCP server executes the heavy lifting.

Automated variable state management

Sync your agent state with `list_flow_variables` to ensure consistent data across retries. If a step fails, you can check the variables to see where the process stalled. This visibility prevents your agents from getting stuck in loops. You define the logic, and the server tracks the persistent state.

Credential-aware agent operations

Access your stored keys securely using `list_flowise_credentials` before running sensitive tasks. Your agent checks for valid keys before executing any `execute_chatflow_prediction` call. This ensures your agents operate within the bounds of your configured security settings. You avoid runtime failures caused by missing or expired authentication tokens.

Setup guide

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

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

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

Pass the MCP tools into your agent definition. Mastra AI will automatically detect the schema and expose the functions to your agent's decision loop.

Yes, you can configure your agent to retry any tool call that fails. This is vital when dealing with external API requests to your server.

The server manages your credentials internally. You only need to pass the endpoint token to the MCP client for initial authentication.

Absolutely. Use the `list_flow_leads` tool to pull captured data. Your agent can then process these leads and perform follow-up actions.

The server only touches your flow configuration and chat logs. Your data remains in your private instance and is never stored by the MCP server.

Use it with your favorite AI tools

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

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Google ADK sdk-python

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Mastra AI sdk-typescript

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