Tally MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tally 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 Tally, 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 Tally MCP Server
Empower your AI agent to orchestrate your entire form ecosystem with Tally, the simplest way to create forms. By connecting Tally to your agent, you transform complex submission management into a natural conversation. Your agent can instantly list your forms, audit new submissions, and retrieve workspace details without you ever touching a dashboard. Whether you are running a simple survey or a complex lead generation process, your agent acts as a real-time form manager, ensuring your data is always accessible and organized.
The Vercel AI SDK gives every Tally tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Form Auditing — List all forms in your account and retrieve detailed metadata for each, including workspace associations.
- Submission Management — Query new and historical submissions, and retrieve specific entry details instantly.
- Workspace Oversight — List all your Tally workspaces and monitor form distribution across your organization.
- Data Governance — Autonomously delete submissions when they are no longer needed to maintain data privacy.
- Account Auditing — Quickly retrieve account-wide information to maintain strict organizational control.
The Tally MCP Server exposes 8 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 Tally to Vercel AI SDK via MCP
Follow these steps to integrate the Tally 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 8 tools from Tally and passes them to the LLM
Why Use Vercel AI SDK with the Tally MCP Server
Vercel AI SDK provides unique advantages when paired with Tally 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 Tally integration everywhere
Built-in streaming UI primitives let you display Tally 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
Tally + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tally MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tally in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tally tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tally capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tally through natural language queries
Tally MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Tally to Vercel AI SDK via MCP:
delete_submission
Delete a Tally submission
get_form
Get details for a specific form
get_me
Get Tally account details
get_submission
Get details for a specific submission
get_workspace
Get details for a specific workspace
list_forms
Optional: filter by workspace ID. List Tally forms
list_submissions
List submissions for a Tally form
list_workspaces
List all Tally workspaces
Example Prompts for Tally in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tally immediately.
"List all my Tally forms."
"Show me the last 5 submissions for form ID 12345."
"What workspaces do I have in Tally?"
Troubleshooting Tally MCP Server with Vercel AI SDK
Common issues when connecting Tally to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTally + Vercel AI SDK FAQ
Common questions about integrating Tally 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 Tally 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 Tally to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.