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Pumble MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pumble 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: {
      "pumble": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pumble Agent",
    instructions:
      "You help users interact with Pumble " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Pumble
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 Pumble MCP Server

Connect your Pumble workspace to any AI agent and bring powerful automation directly to your team's communication hub.

Mastra's agent abstraction provides a clean separation between LLM logic and Pumble tool infrastructure. Connect 10 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

  • Read & Manage Channels — List all public and private channels, fetch detailed metadata, and dynamically create new discussion channels on the fly
  • Message Operations — Retrieve conversation histories, post new messages, update typos, or delete outdated announcements seamlessly
  • Interactive Reactions — Add emoji reactions to messages automatically to acknowledge requests without cluttering the chat
  • User Directory — List all workspace users and pull detailed profiles (including emails and time zones) to ensure accurate tagging

The Pumble MCP Server exposes 10 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 Pumble to Mastra AI via MCP

Follow these steps to integrate the Pumble 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 10 tools from Pumble via MCP

Why Use Mastra AI with the Pumble MCP Server

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

01

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

Pumble + Mastra AI Use Cases

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

01

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

02

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

04

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

Pumble MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Pumble to Mastra AI via MCP:

01

chat_add_reaction

Adds an emoji reaction to a message

02

chat_delete_message

This action is irreversible. Deletes a message from a Pumble channel

03

chat_history_messages

Retrieves recent messages from a channel

04

chat_post_message

Specify the channel ID and the message text. Sends a message to a Pumble channel

05

chat_update_message

Updates a pre-existing message

06

create_chat_channel

Specify name and whether it should be private. Creates a new communication channel

07

get_channel_info

Retrieves detailed information about a specific channel

08

get_user_info

Retrieves detailed information for a specific user

09

list_all_channels

Lists all public and private channels available in the workspace

10

list_workspace_users

Lists all users in the Pumble workspace

Example Prompts for Pumble in Mastra AI

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

01

"List all our active channels in Pumble."

02

"Post a message in the #dev-updates channel stating that 'Deployment 2.1 is completed'."

03

"Read the last 3 messages from #marketing-q4 and react to the last one with a 'thumbsup'."

Troubleshooting Pumble MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Pumble + Mastra AI FAQ

Common questions about integrating Pumble 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 Pumble to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.