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Vinkius

Flowise MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Flowise through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "flowise": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Flowise Agent",
    instructions:
      "You help users interact with Flowise " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Flowise?"
  );
  console.log(result.text);
}

main();
Flowise
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Flowise MCP Server

Connect your FlowiseAI instance to any AI agent and take full control of your low-code generative AI application development through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Flowise tool infrastructure. Connect 7 tools through the 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

  • Chatflow Orchestration — List and retrieve detailed architectural nodes and edges for all deployed Chatflows within your Flowise instance natively
  • Agentic Workflow Control — Access compound Agentflows defining complex AI tasks and multi-step reasoning logic synchronously
  • Live AI Prediction — Commands the backend to submit user questions to specific Chatflows and retrieve generated AI responses in real-time
  • Execution History Auditing — Pull precise past execution traces and conversational logs to debug logic chains and monitor agent performance limitlessly
  • Tool & Integration Discovery — Retrieve custom tools and third-party integrations configured in your Flowise environment to verify available capabilities
  • Credential Oversight — Enumerate stored credential components used to authenticate your AI logic chains securely within the platform
  • System Health Monitoring — Verify instance status and available base endpoints to ensure your AI orchestration layer is operational

The Flowise MCP Server exposes 7 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 Flowise to Mastra AI via MCP

Follow these steps to integrate the Flowise MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 7 tools from Flowise via MCP

Why Use Mastra AI with the Flowise MCP Server

Mastra AI provides unique advantages when paired with Flowise through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Flowise without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Flowise tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Flowise + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Flowise MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Flowise, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Flowise as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Flowise on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Flowise tools alongside other MCP servers

Flowise MCP Tools for Mastra AI (7)

These 7 tools become available when you connect Flowise to Mastra AI via MCP:

01

get_chatflow

Get chatflow details

02

get_history

Get chat execution history

03

list_agentflows

List agentflows

04

list_chatflows

List chatflows

05

list_credentials

List credentials

06

list_tools

List available tools

07

predict

Run prediction on chatflow

Example Prompts for Flowise in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Flowise immediately.

01

"Ask chatflow 'abc-123': 'Summarize this document: [Context]'"

02

"List all active chatflows in my instance"

03

"Show me the execution history for chatflow 'Legal-Assistant'"

Troubleshooting Flowise MCP Server with Mastra AI

Common issues when connecting Flowise to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Flowise + Mastra AI FAQ

Common questions about integrating Flowise MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Flowise to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.