Celigo integrator.io 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 Celigo integrator.io 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 Celigo integrator.io, 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 Celigo integrator.io MCP Server
Connect your Celigo integrator.io account to any AI agent and take full control of your iPaaS (Integration Platform as a Service) operations through natural conversation. Streamline business process automation and data synchronization.
The Vercel AI SDK gives every Celigo integrator.io 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
- Integration Oversight — List and retrieve details for all active integrations and configured flows natively
- Flow Control — Trigger specific integration flows to run on-demand and monitor their status flawlessly
- Connectivity Audit — List all active connections and verify their current operational state securely
- Error Monitoring — Retrieve recent integration errors to identify and resolve synchronization issues in real-time
- Data Logistics — List and manage exports and imports across your various connected applications flawlessly
- Operational Visibility — Get detailed flow information and execution logs directly within your workspace
The Celigo integrator.io 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 Celigo integrator.io to Vercel AI SDK via MCP
Follow these steps to integrate the Celigo integrator.io 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 Celigo integrator.io and passes them to the LLM
Why Use Vercel AI SDK with the Celigo integrator.io MCP Server
Vercel AI SDK provides unique advantages when paired with Celigo integrator.io 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 Celigo integrator.io integration everywhere
Built-in streaming UI primitives let you display Celigo integrator.io 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
Celigo integrator.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Celigo integrator.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Celigo integrator.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Celigo integrator.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Celigo integrator.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Celigo integrator.io through natural language queries
Celigo integrator.io MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Celigo integrator.io to Vercel AI SDK via MCP:
get_flow_details
Get details for a specific flow
list_integration_connections
List all active connections
list_integration_errors
List recent integration errors
list_integration_exports
List configured exports
list_integration_flows
List all integration flows
list_integration_imports
List configured imports
list_integrations
io. List all integrations
run_integration_flow
Trigger a specific integration flow to run
Example Prompts for Celigo integrator.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Celigo integrator.io immediately.
"List all my integrations in Celigo."
"Run the flow with ID 654321."
"Check for recent integration errors."
Troubleshooting Celigo integrator.io MCP Server with Vercel AI SDK
Common issues when connecting Celigo integrator.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCeligo integrator.io + Vercel AI SDK FAQ
Common questions about integrating Celigo integrator.io 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 Celigo integrator.io 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 Celigo integrator.io to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.