Pumble MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pumble through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Pumble, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Pumble MCP Server
Connect your Pumble workspace to any AI agent and bring powerful automation directly to your team's communication hub.
The Vercel AI SDK gives every Pumble tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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- Message Operations — Retrieve conversation histories, post new messages, update typos, or delete outdated announcements seamlessly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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Pumble MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Pumble and passes them to the LLM
Why Use Vercel AI SDK with the Pumble MCP Server
Vercel AI SDK provides unique advantages when paired with Pumble through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Pumble integration everywhere
Built-in streaming UI primitives let you display Pumble tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Pumble + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pumble MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pumble in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pumble tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pumble capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pumble through natural language queries
Pumble MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Pumble to Vercel AI SDK via MCP:
chat_add_reaction
Adds an emoji reaction to a message
chat_delete_message
This action is irreversible. Deletes a message from a Pumble channel
chat_history_messages
Retrieves recent messages from a channel
chat_post_message
Specify the channel ID and the message text. Sends a message to a Pumble channel
chat_update_message
Updates a pre-existing message
create_chat_channel
Specify name and whether it should be private. Creates a new communication channel
get_channel_info
Retrieves detailed information about a specific channel
get_user_info
Retrieves detailed information for a specific user
list_all_channels
Lists all public and private channels available in the workspace
list_workspace_users
Lists all users in the Pumble workspace
Example Prompts for Pumble in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pumble immediately.
"List all our active channels in Pumble."
"Post a message in the #dev-updates channel stating that 'Deployment 2.1 is completed'."
"Read the last 3 messages from #marketing-q4 and react to the last one with a 'thumbsup'."
Troubleshooting Pumble MCP Server with Vercel AI SDK
Common issues when connecting Pumble to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPumble + Vercel AI SDK FAQ
Common questions about integrating Pumble MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Pumble 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 Pumble to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.