ChatFly MCP Server for Mastra AIGive Mastra AI instant access to 7 tools to Chat, Create Bot, Get Bot, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ChatFly 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 ChatFly app connector for Mastra AI is a standout in the Customer Support category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"chatfly-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ChatFly Agent",
instructions:
"You help users interact with ChatFly " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ChatFly?"
);
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 ChatFly MCP Server
Connect your ChatFly account to any AI agent and take full control of your custom chatbot orchestration and automated knowledge ingestion workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and ChatFly tool infrastructure. Connect 7 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
- Bot Orchestration — Create and manage multiple high-fidelity AI chatbot instances programmatically, including configuring welcome messages and internal metadata
- Knowledge Ingestion — Programmatically train your bots by uploading website URLs and documents to coordinate an accurate, data-driven knowledge base
- Real-Time Interaction — Send messages and retrieve AI responses from specific bots to test performance or integrate chat into custom business applications
- Source Management — Access and monitor your complete directory of data sources (URLs, docs) to oversee the information feeding your digital assistants
- Operational Monitoring — Track chatbot performance, session histories, and account-level status directly through your agent for instant reporting
The ChatFly 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.
All 7 ChatFly tools available for Mastra AI
When Mastra AI connects to ChatFly through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-ai, lead-qualification, 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.
Interact with a chatbot
Provide name and welcome message. Create a new chatbot
Get details of a specific bot
List all chatbots
List data sources for a bot
Update an existing bot
Add a knowledge source to a bot
Connect ChatFly to Mastra AI via MCP
Follow these steps to wire ChatFly into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the ChatFly MCP Server
Mastra AI provides unique advantages when paired with ChatFly through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ChatFly 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 ChatFly 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
ChatFly + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ChatFly MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ChatFly, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ChatFly as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ChatFly on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ChatFly tools alongside other MCP servers
Example Prompts for ChatFly in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ChatFly immediately.
"List all my available chatbots in ChatFly."
"Train 'bot_1' by ingesting 'https://vinkius.com/faq'."
"Ask 'bot_1': 'What are your support hours?'."
Troubleshooting ChatFly MCP Server with Mastra AI
Common issues when connecting ChatFly to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpChatFly + Mastra AI FAQ
Common questions about integrating ChatFly 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.