3,400+ MCP servers ready to use
Vinkius

Bring Form Builder
to Vercel AI SDK

Learn how to connect Indy to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create FormCreate WebhookDelete FormDelete WebhookGet Account InfoGet FormGet RecordGet UserList FormsList RecordsList UsersList Webhooks

What is the Indy MCP Server?

Connect your Indy account to any AI agent and manage forms and records through natural conversation.

What you can do

  • Form Management — List all forms, inspect configurations, create new forms, and delete unused ones
  • Record Tracking — Browse all form submissions, inspect individual records with full field data
  • Template Management — List and inspect form templates for reusable designs
  • Group Organization — Browse form groups for organized management
  • File Access — List files attached to form submissions

How it works

1. Subscribe to this server
2. Enter your Indy Access Token
3. Start managing forms from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Operations Teams — manage form submissions and track response data without the dashboard
  • Project Managers — create intake forms, review submissions, and organize templates
  • Developers — integrate form management into AI-driven workflows

Built-in capabilities (12)

create_form

Create a new form

create_webhook

Create a new webhook

delete_form

Delete a form

delete_webhook

Delete a webhook

get_account_info

Get account status

get_form

Get form details

get_record

Get submission details

get_user

Get user details

list_forms

List all forms

list_records

List form submissions

list_users

List connected users

list_webhooks

List active webhooks

Why Vercel AI SDK?

The Vercel AI SDK gives every Indy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • 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 Indy integration everywhere

  • Built-in streaming UI primitives let you display Indy 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

See it in action

Indy in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Indy and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Indy to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Indy in Vercel AI SDK

The Indy 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Indy
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

The Vinkius Advantage

How Vinkius secures Indy for Vercel AI SDK

Every tool call from Vercel AI SDK to the Indy MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I create new forms and manage submissions through the AI agent?

Yes. Use create_form to build new forms, list_forms to see all forms, list_records to browse submissions, and get_record to inspect individual responses with full field data. Use delete_form to remove unused forms.

02

Can I use templates to create forms faster?

Yes. Use list_templates to browse available form templates and get_template to inspect their structure. Templates provide reusable form designs that save time on repetitive form creation.

03

Can I access files attached to form submissions?

Yes. Use list_files to retrieve all files attached to form submissions. Each file includes metadata like name, size, and the record it belongs to.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp