SketricGen MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 18 tools to Check Sketricgen Status, Delete Conversation, Get Agent, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SketricGen through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The SketricGen app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 SketricGen, 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 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.
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.
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
Who is it for?
Designed for AI engineers, prompt designers, and automation teams seeking an advanced orchestration layer with full traceability for complex agentic workflows.The SketricGen MCP Server exposes 18 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.
All 18 SketricGen tools available for Vercel AI SDK
When Vercel AI SDK connects to SketricGen through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, multi-agent-systems, knowledge-base, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect SketricGen to Vercel AI SDK via MCP
Follow these steps to wire SketricGen into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the SketricGen MCP Server
Vercel AI SDK provides unique advantages when paired with SketricGen 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 SketricGen integration everywhere
Built-in streaming UI primitives let you display SketricGen 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
SketricGen + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SketricGen MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SketricGen in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SketricGen tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SketricGen capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SketricGen through natural language queries
Example Prompts for SketricGen in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SketricGen immediately.
"Run my customer support agent workflow in SketricGen with the question 'How do I reset my password?'"
"Show me the execution trace and credit usage for my last SketricGen workflow run."
"List all knowledge bases in SketricGen and show which agents are connected to each."
Troubleshooting SketricGen MCP Server with Vercel AI SDK
Common issues when connecting SketricGen to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSketricGen + Vercel AI SDK FAQ
Common questions about integrating SketricGen 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.