Bring Workflow Automation
to Vercel AI SDK
Learn how to connect SketricGen to Vercel AI SDK and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the SketricGen MCP Server?
Empower your AI agents to securely orchestrate complex workflows using the SketricGen platform. With 18 dedicated tools, your AI can now programmatically trigger multi-agent tasks, inject relevant contacts into context, construct searchable knowledge bases, and granularly inspect execution traces.
What you can do
- Execute complex multi-agent workflows programmatically
- Create and query vector-searchable knowledge bases
- Debug executions with full tracing capabilities
- Track tool calls and credit consumption per run
- Access and manage CRM-style contact profiles
- Maintain distinct conversation histories
How it works
1. Subscribe to this server 2. Enter your SketricGen API Key (found in your account dashboard) 3. Start deploying orchestrated multi-agent systems via VinkiusWho is it for?
Designed for AI engineers, prompt designers, and automation teams seeking an advanced orchestration layer with full traceability for complex agentic workflows.Built-in capabilities (18)
Verify connectivity
Delete conversation
Get agent details
Get contact details
Get conversation
Get knowledge base
Get trace details
Get trace credit usage
Get workflow details
List AI agents
List contacts
List conversations
List knowledge bases
List templates
List execution traces
List workflows
Run AI workflow
Run workflow for contact
Why Vercel AI SDK?
The Vercel AI SDK gives every SketricGen tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 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 SketricGen integration everywhere
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Built-in streaming UI primitives let you display SketricGen 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
SketricGen in Vercel AI SDK
SketricGen and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SketricGen 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 | 3,400+ 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 SketricGen in Vercel AI SDK
The SketricGen 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 18 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
SketricGen for Vercel AI SDK
Every tool call from Vercel AI SDK to the SketricGen MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can my AI analyze the execution steps of a specific workflow?
Simply use the debug_workflow_trace tool. Your agent will instantly retrieve the execution trace, detailing every tool call, data transfer between agents, and total credit consumption per run.
Is it possible to programmatically manage and query documents for my agents?
Yes. By executing the manage_knowledge_base action, your AI agent can upload files (PDF, DOCX, TXT, HTML) or search existing repositories to provide context-aware, highly accurate responses.
Can I automatically trigger workflows tied to specific customer records?
Absolutely. Ask the agent to use the run_workflow_for_contact tool. It will execute the designated workflow while injecting the specific contact's history, enabling personalized, data-driven outputs.
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