Chanty 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 Chanty through the 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 Chanty, 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 Chanty MCP Server
Connect your Chanty workspace to any AI agent and command your team's communication flow naturally. Bypass the UI and construct high-speed chat operations through simple prompts.
The Vercel AI SDK gives every Chanty tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Messages — Send targeted messages to any conversation, retrieve chat histories, and delete texts as needed
- Conversations — Create entirely new channels, list active ones, and irreversibly vaporize outdated spaces
- Members — Inspect company directories, track user IDs, and instantly dispatch email invitations to onboard new users
- Profile & Status — Verify token limits and globally mutate your web CRM status icon automatically
The Chanty 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 Chanty to Vercel AI SDK via MCP
Follow these steps to integrate the Chanty 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 Chanty and passes them to the LLM
Why Use Vercel AI SDK with the Chanty MCP Server
Vercel AI SDK provides unique advantages when paired with Chanty 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 Chanty integration everywhere
Built-in streaming UI primitives let you display Chanty 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
Chanty + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chanty MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chanty in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chanty tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chanty capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chanty through natural language queries
Chanty MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Chanty to Vercel AI SDK via MCP:
create_conversation
Bootstrap an entirely empty structural chat Room dynamically
delete_conversation
Irreversibly vaporize explicit Channel spaces terminating histories
delete_message
Obliterate mapped HTTP bounds removing specific Texts
get_profile
Inspect deep internal arrays evaluating self-assigned permissions
invite_member
Dispatch an automated JSON block emitting email triggers
list_conversations
Perform structural extraction of properties driving active Chanty layouts
list_members
Retrieve explicit Directory maps tracking User IDs
list_messages
Identify bounded routing spaces verifying explicit historical messages
send_message
Provision a highly-available JSON Payload dropping messages into Chanty Chats
set_status
Mutate global Web CRM boundaries substituting plain Status texts
Example Prompts for Chanty in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chanty immediately.
"We just signed a new client. Create a 'project-titan' conversation and invite 'alex@domain.com'."
"Please mark my profile status to 'In deep focus mode' for the rest of the day."
"Can you delete the message I just sent in the 'general' channel? I made a typo."
Troubleshooting Chanty MCP Server with Vercel AI SDK
Common issues when connecting Chanty to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChanty + Vercel AI SDK FAQ
Common questions about integrating Chanty 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 Chanty 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 Chanty to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.