Keap MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Keap 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
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 Keap, 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 Keap MCP Server
Connect your Keap (formerly Infusionsoft) account to any AI agent to optimize your CRM and sales workflows. This MCP server enables your agent to interact with contacts, tags, and automation campaigns directly from natural language interfaces.
The Vercel AI SDK gives every Keap tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Contact Management — List, retrieve, and create contact profiles to maintain your lead database
- Marketing Automation — List and monitor active campaigns and automation sequences
- Segmentation — Manage tags and apply them to contacts to trigger specific workflows
- Sales Pipeline — Query opportunities and deals to track your revenue growth
- Billing Visibility — Access invoices and orders to stay on top of customer transactions
The Keap MCP Server exposes 11 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 Keap to Vercel AI SDK via MCP
Follow these steps to integrate the Keap 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 11 tools from Keap and passes them to the LLM
Why Use Vercel AI SDK with the Keap MCP Server
Vercel AI SDK provides unique advantages when paired with Keap 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 Keap integration everywhere
Built-in streaming UI primitives let you display Keap 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
Keap + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Keap MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Keap in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Keap tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Keap capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Keap through natural language queries
Keap MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Keap to Vercel AI SDK via MCP:
apply_tag_to_contact
Apply a tag to a specific contact
create_contact
Requires at least a first name or email. Create a new contact in Keap
get_business_profile
Get Keap business profile information
get_contact
Get details for a specific contact
list_campaigns
List all marketing campaigns
list_contacts
Use this to search for leads or customers. List all contacts in Keap
list_invoices
List all invoices
list_opportunities
List sales opportunities
list_orders
List ecommerce orders
list_tags
List all available tags
list_users
List all application users
Example Prompts for Keap in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Keap immediately.
"Find a contact with email 'john@example.com' in Keap."
"Show me all my available tags in Keap."
"List my recent ecommerce orders."
Troubleshooting Keap MCP Server with Vercel AI SDK
Common issues when connecting Keap to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKeap + Vercel AI SDK FAQ
Common questions about integrating Keap 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 Keap 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 Keap to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.