Apideck MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Vault Session, Delete Vault Connection, Execute Proxy, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Apideck 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 MCP Server for Vercel AI SDK
The Apideck MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Apideck, 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 Apideck MCP Server
Connect Apideck to your AI agent to streamline how you interact with multiple SaaS platforms. By using Apideck's Unified APIs, your agent can communicate with various CRM providers and manage user integrations without writing custom code for every service.
The Vercel AI SDK gives every Apideck tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Unified CRM Access — List and filter contacts across different CRM providers like Salesforce, HubSpot, or Pipedrive using the
list_crm_contactstool. - Vault Management — Create sessions for users to link their own accounts (
create_vault_session), list existing connections, and retrieve or delete specific service links. - API Proxying — Execute direct requests to downstream service endpoints using
execute_proxywhen you need specific functionality not covered by the unified schema. - Connection Auditing — Inspect the status and details of active integrations using
get_vault_connectionto ensure data flow is healthy.
The Apideck MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Apideck tools available for Vercel AI SDK
When Vercel AI SDK connects to Apideck through Vinkius, your AI agent gets direct access to every tool listed below — spanning unified-api, crm-integration, vault, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create vault session on Apideck
Create a Vault session
Delete vault connection on Apideck
Delete a Vault connection
Execute proxy on Apideck
Execute a Proxy API request
Get vault connection on Apideck
Get a specific Vault connection
List crm contacts on Apideck
g., salesforce, hubspot) using the Unified CRM API. List CRM contacts from a unified integration
List vault connections on Apideck
List Vault connections
Connect Apideck to Vercel AI SDK via MCP
Follow these steps to wire Apideck into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Apideck MCP Server
Vercel AI SDK provides unique advantages when paired with Apideck 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 Apideck integration everywhere
Built-in streaming UI primitives let you display Apideck 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
Apideck + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Apideck MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Apideck in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Apideck tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Apideck capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Apideck through natural language queries
Example Prompts for Apideck in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Apideck immediately.
"List all CRM contacts from the hubspot integration."
"Show me all active Vault connections for the current consumer."
"Create a Vault session with a redirect URI to https://example.com/dashboard."
Troubleshooting Apideck MCP Server with Vercel AI SDK
Common issues when connecting Apideck to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpApideck + Vercel AI SDK FAQ
Common questions about integrating Apideck 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.Explore More MCP Servers
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