Bring Internal Tools
to Vercel AI SDK
Learn how to connect Superblocks to Vercel AI SDK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Superblocks MCP Server?
Connect your Superblocks organization to any AI agent to streamline the management of your internal applications and automated workflows. This server allows you to orchestrate your low-code ecosystem through natural language.
What you can do
- Application Management — List all organizational applications, fetch detailed configurations, and create or update apps programmatically.
- Workflow Orchestration — Retrieve a comprehensive list of all active workflows to monitor your backend logic and scheduled jobs.
- Secure Embedding — Generate authenticated session tokens for Embedded Apps, enabling seamless SSO integration for your end-users.
- Lifecycle Control — Perform maintenance by updating application payloads or deleting obsolete resources directly from your chat interface.
How it works
- Subscribe to this server
- Enter your Superblocks API Key
- Start managing your internal tooling infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Internal Tools Engineers — quickly audit application configurations and manage resource lifecycles without leaving the terminal or IDE.
- DevOps Teams — monitor active workflows and automate the deployment or update of Superblocks applications.
- Product Managers — list available internal tools and generate embed tokens for stakeholder reviews or client integrations.
Built-in capabilities (7)
Create a new Superblocks application
Used to request session tokens for users when embedding Superblocks applications via SSO. Create an authenticated session token for Embedded Apps
Delete a Superblocks application
Retrieve details for a specific application
Supports pagination. List all applications in the organization
List all workflows in the organization
Update an existing Superblocks application
Why Vercel AI SDK?
The Vercel AI SDK gives every Superblocks tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Superblocks integration everywhere
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Built-in streaming UI primitives let you display Superblocks tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Superblocks in Vercel AI SDK
Superblocks and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Superblocks 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Superblocks in Vercel AI SDK
The Superblocks 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 7 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.
* 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
How Vinkius secures
Superblocks for Vercel AI SDK
Every tool call from Vercel AI SDK to the Superblocks MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see all the internal tools currently built in my organization?
You can use the list_applications tool. It retrieves a paginated list of all Superblocks applications, allowing your AI to browse through your entire internal tool library.
Is it possible to generate a login token for a user to view an embedded app?
Yes, the create_embed_token tool is designed specifically for this. Provide the user's email and optional metadata to receive a secure session token for Embedded Apps.
Can I check the status of my backend workflows and scheduled jobs?
Absolutely. Use the list_workflows tool to get a full inventory of all workflows in your organization, which helps in monitoring your automated processes.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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