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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "ChatBot.com Agent",
    instructions:
      "You help users interact with ChatBot.com " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
ChatBot.com
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 ChatBot.com MCP Server

Connect your ChatBot.com account to any AI agent and take full control of your conversational automation through natural conversation. Streamline how you build and monitor your customer service bots.

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

  • Story Oversight — List and retrieve details for all conversational stories and bot workflows natively
  • Interaction Intelligence — Access and monitor interactions within specific stories to understand user paths flawlessly
  • User Management — List all users who have interacted with your bot and retrieve their detailed profiles securely
  • Integration Auditing — List and review configured webhook integrations and entities flawlessly
  • Training Logistics — Retrieve unrecognized phrases to identify areas where your bot needs additional training flawlessly
  • System Metadata — Access entity definitions and core account structures directly within your workspace

The ChatBot.com 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 ChatBot.com to Mastra AI via MCP

Follow these steps to integrate the ChatBot.com 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 ChatBot.com via MCP

Why Use Mastra AI with the ChatBot.com MCP Server

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

01

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

ChatBot.com + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed ChatBot.com 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 ChatBot.com on a cron and store results in your database automatically

04

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

ChatBot.com MCP Tools for Mastra AI (8)

These 8 tools become available when you connect ChatBot.com to Mastra AI via MCP:

01

get_chatbot_user_details

Get details for a specific chatbot user

02

get_story_details

Get detailed information for a specific story

03

list_chatbot_entities

List custom entities used for NLP matching

04

list_chatbot_stories

List all stories (bot workflows)

05

list_chatbot_users

List all users who have interacted with the bot

06

list_chatbot_webhooks

List all configured webhook integrations

07

list_story_interactions

List all interactions within a story

08

list_training_data

List unrecognized phrases that require bot training

Example Prompts for ChatBot.com in Mastra AI

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

01

"List all conversational stories in my account."

02

"What training data is pending review?"

03

"Search for users who interacted with the bot today."

Troubleshooting ChatBot.com MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

ChatBot.com + Mastra AI FAQ

Common questions about integrating ChatBot.com 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 ChatBot.com to Mastra AI

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