Zixflow MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zixflow 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 Zixflow, 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 Zixflow MCP Server
Connect your Zixflow workspace to any AI agent to automate your sales and CRM operations. This MCP server enables your agent to interact with collections (People, Company, etc.), manage individual records, and track wallet transactions directly from natural language.
The Vercel AI SDK gives every Zixflow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Collection Oversight — List all data collections configured in your workspace to understand your CRM structure
- Contact Management — List, retrieve, create, and update records within any collection using detailed field mappings
- Precision Filtering — Search for specific records using JSON-based filtering and sorting criteria
- Cleanup Automation — Delete unnecessary records and maintain your database directly via natural language commands
- Wallet Tracking — Access a history of transactions and balance changes within your Zixflow wallet
The Zixflow MCP Server exposes 7 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 Zixflow to Vercel AI SDK via MCP
Follow these steps to integrate the Zixflow 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 7 tools from Zixflow and passes them to the LLM
Why Use Vercel AI SDK with the Zixflow MCP Server
Vercel AI SDK provides unique advantages when paired with Zixflow 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 Zixflow integration everywhere
Built-in streaming UI primitives let you display Zixflow 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
Zixflow + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zixflow MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zixflow in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zixflow tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zixflow capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zixflow through natural language queries
Zixflow MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Zixflow to Vercel AI SDK via MCP:
create_collection_record
g., a person or company) to a specific Zixflow collection. Create a new record in a collection
delete_collection_record
Delete a record from a collection
get_record_details
Get details for a specific record
list_collection_records
Requires a JSON body for filtering/sorting. List records within a specific collection
list_collections
List all collections (People, Company, etc.)
list_wallet_transactions
List Zixflow wallet transactions
update_collection_record
Update an existing record
Example Prompts for Zixflow in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zixflow immediately.
"List all data collections in my Zixflow workspace."
"Show details for record with ID '98765'."
"List my recent wallet transactions."
Troubleshooting Zixflow MCP Server with Vercel AI SDK
Common issues when connecting Zixflow to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZixflow + Vercel AI SDK FAQ
Common questions about integrating Zixflow 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 Zixflow 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 Zixflow to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.