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FlowiseAI MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Execute Chatflow Prediction, Get Chatflow Details, Get Server Version, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for Mastra AI

The FlowiseAI app connector for Mastra AI is a standout in the Friends Mcp category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "FlowiseAI Agent",
    instructions:
      "You help users interact with FlowiseAI " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
FlowiseAI
Fully ManagedVinkius Servers
60%Token savings
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 FlowiseAI MCP Server

Connect your FlowiseAI (self-hosted) instance to any AI agent and take full control of your LLM orchestration and RAG workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and FlowiseAI tool infrastructure. Connect 12 tools through 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

  • Prediction Orchestration — Trigger specific chatflows and retrieve LLM-generated responses programmatically using natural language inputs
  • Chatflow Management — List all orchestration flows and retrieve detailed technical structures and metadata to monitor your AI agents
  • Vector Intelligence — Programmatically upsert documents or raw data into the vector stores linked to your chatflows to ensure high-fidelity context
  • Component Oversight — Access server-wide credentials, custom tools, and global variables to manage your complete Flowise ecosystem
  • Operational Visibility — Monitor user feedback, leads, and assistant profiles directly through your agent for instant reporting

The FlowiseAI MCP Server exposes 12 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.

All 12 FlowiseAI tools available for Mastra AI

When Mastra AI connects to FlowiseAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-workflows, rag-pipelines, chatbot-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

execute_chatflow_prediction

Trigger an LLM flow prediction

get_chatflow_details

Get details for a specific chatflow

get_server_version

Get Flowise server version

list_ai_assistants

List OpenAI-style assistants

list_chat_feedback

List user feedback for a chatflow

list_chatflows

List all LLM orchestration flows

list_external_tools

List custom tools

list_flow_leads

List captured leads

list_flow_variables

List global variables

list_flowise_credentials

List configured credentials

list_marketplace_templates

List chatflow templates

upsert_vector_data

Push data into a vector store

Connect FlowiseAI to Mastra AI via MCP

Follow these steps to wire FlowiseAI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from FlowiseAI via MCP

Why Use Mastra AI with the FlowiseAI MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add FlowiseAI 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 FlowiseAI 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

FlowiseAI + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed FlowiseAI 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 FlowiseAI on a cron and store results in your database automatically

04

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

Example Prompts for FlowiseAI in Mastra AI

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

01

"List all my chatflows in Flowise."

02

"Execute chatflow 'cf_1' with question: 'How do I reset my password?'"

03

"Upsert this data into vector store for chatflow 'cf_2': [data]"

Troubleshooting FlowiseAI MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

FlowiseAI + Mastra AI FAQ

Common questions about integrating FlowiseAI 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.