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CHATFLY MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CHATFLY 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: {
      "chatfly": {
        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 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
CHATFLY
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 CHATFLY MCP Server

Connect your CHATFLY account to any AI agent and take full control of your custom chatbot workflows through natural conversation. Train and monitor your own AI agents using your business data.

Mastra's agent abstraction provides a clean separation between LLM logic and CHATFLY tool infrastructure. Connect 8 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

  • Chatbot Oversight — List and retrieve details for all custom AI chatbots in your account natively
  • Knowledge Logistics — List all uploaded documents and data sources used for bot training flawlessly
  • Training Automation — Trigger the training process for your chatbots to ingest new data securely
  • Conversation Intelligence — Access recent chat conversations and full message history flawlessly
  • Live Messaging — Send messages to your chatbots and receive AI-generated responses in real-time
  • System Monitoring — Retrieve core account information and monitor your AI usage quotas directly within your workspace

The CHATFLY MCP Server exposes 8 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 CHATFLY to Mastra AI via MCP

Follow these steps to integrate the CHATFLY 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 8 tools from CHATFLY via MCP

Why Use Mastra AI with the CHATFLY MCP Server

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

01

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

CHATFLY + Mastra AI Use Cases

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

01

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

02

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

04

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

CHATFLY MCP Tools for Mastra AI (8)

These 8 tools become available when you connect CHATFLY to Mastra AI via MCP:

01

get_chatbot_details

Get detailed information for a specific chatbot

02

get_chatfly_account_info

Retrieve core account and quota information

03

get_conversation_history

Retrieve the message history for a specific conversation

04

list_chatfly_bots

List all AI chatbots in your account

05

list_fly_conversations

List recent chat conversations

06

list_uploaded_documents

List all files uploaded to the knowledge base

07

send_bot_message

Send a message to a chatbot and receive a response

08

trigger_bot_training

Trigger the training process for a chatbot

Example Prompts for CHATFLY in Mastra AI

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

01

"List all my active chatbots in CHATFLY."

02

"Show me the last 5 conversations for bot 'Support Assistant'."

03

"Send a test message to bot ID 123: 'How do I reset my password?'"

Troubleshooting CHATFLY MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

CHATFLY + Mastra AI FAQ

Common questions about integrating CHATFLY 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 CHATFLY to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.