Flow XO MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Flow XO through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"flow-xo": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Flow XO Agent",
instructions:
"You help users interact with Flow XO " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Flow XO?"
);
console.log(result.text);
}
main();
* 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 Flow XO MCP Server
Connect your Flow XO account to any AI agent and automate your chatbot interactions and messaging workflows through the Model Context Protocol (MCP). Flow XO is a versatile platform for building and managing chatbots across various channels like Slack, Telegram, and the web. Now, you can manage your automation flows, oversee chatbot users, and trigger webhook-based workflows directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Flow XO tool infrastructure. Connect 12 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
- Workflow Management — List all your chatbot flows and toggle their active status (enable/disable) instantly.
- User Oversight — Access your end-user database, fetch detailed profiles, and create or update user records.
- Direct Messaging — Send push messages directly to users via their unique response paths from your chat interface.
- Webhook Triggers — Push data payloads to Flow XO webhook trigger URLs to start automated sequences remotely.
- Interaction History — Retrieve the message history for specific users to understand past bot engagements.
- Platform Connectivity — List all connected bot accounts and platforms (Slack, Messenger, etc.) for better integration context.
- Automation Analytics — Fetch high-level usage summaries and performance metrics for your chatbot environment.
The Flow XO 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.
How to Connect Flow XO to Mastra AI via MCP
Follow these steps to integrate the Flow XO MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Flow XO via MCP
Why Use Mastra AI with the Flow XO MCP Server
Mastra AI provides unique advantages when paired with Flow XO through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Flow XO without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Flow XO tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Flow XO + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Flow XO MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Flow XO, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Flow XO as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Flow XO on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Flow XO tools alongside other MCP servers
Flow XO MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Flow XO to Mastra AI via MCP:
create_user
Register a new user
get_automation_analytics
Get usage summary
get_user_details
Get user profile
list_bot_accounts
). List platform accounts
list_broadcasts
List sent broadcasts
list_chatbot_users
List all end users
list_user_history
List user messages
list_workflows
List automation flows
send_push_message
Send a push message
toggle_workflow
Enable/Disable a flow
trigger_webhook
Trigger flow via webhook
update_user
Update user metadata
Example Prompts for Flow XO in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Flow XO immediately.
"List all my Flow XO chatbot users."
"Disable the workflow 'Old Customer Survey'."
"Send a push message to path 'abc/123': 'Your order has been shipped!'."
Troubleshooting Flow XO MCP Server with Mastra AI
Common issues when connecting Flow XO to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFlow XO + Mastra AI FAQ
Common questions about integrating Flow XO MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Flow XO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Flow XO to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
