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Swiftfox MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Check Swiftfox Status, Get Event Fields, Get Me, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Swiftfox 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 Swiftfox app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Swiftfox, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Swiftfox
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* 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 Swiftfox MCP Server

Connect your Swiftfox account to any AI agent and take full control of your member management, engagement strategy, and communication campaigns through natural conversation.

The Vercel AI SDK gives every Swiftfox 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

  • Member Management — List, query, and update individual member profiles and custom data fields.
  • Interaction Tracking — Log notes, calls, and meetings to maintain a complete history of member engagement.
  • Campaign Insights — Monitor the performance of your communication campaigns and verify outreach success.
  • Event Monitoring — List and query interactions to stay on top of your community activity.
  • Operational Status — Fetch account metadata and check API connectivity directly from the agent.

The Swiftfox 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.

All 11 Swiftfox tools available for Vercel AI SDK

When Vercel AI SDK connects to Swiftfox through Vinkius, your AI agent gets direct access to every tool listed below — spanning member-management, campaign-management, engagement-strategy, 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.

check_swiftfox_status

Returns a status indicator and account metadata to confirm valid credentials and active connectivity. Verify Swiftfox API connectivity

get_event_fields

Useful for understanding the data schema before creating or filtering events. Get custom field definitions for events

get_me

Use this to verify connectivity or obtain the current user context. Get the authenticated Swiftfox user profile

get_organization

Get full details of a specific organization in Swiftfox

get_person

Get full details of a specific person in Swiftfox

list_circles

Optionally filter by a search term matching circle names. List circles (groups/domains/units) in Swiftfox

list_events

Events represent meetings, functions, or activities organized within the CRM. List events in Swiftfox CRM

list_organizations

Organizations represent companies, associations, or groups that people belong to. Optionally filter by search term. List organizations in Swiftfox CRM

list_people

Optionally filter by a search term that matches against names or other fields. List people (members) in Swiftfox CRM

list_person_subscriptions

Subscriptions track membership plans, payment status, and renewal dates. List subscriptions for a specific person

list_webhooks

Webhooks notify external services when specific events occur (e.g., member created, subscription updated). List configured webhooks in Swiftfox

Connect Swiftfox to Vercel AI SDK via MCP

Follow these steps to wire Swiftfox into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Swiftfox and passes them to the LLM

Why Use Vercel AI SDK with the Swiftfox MCP Server

Vercel AI SDK provides unique advantages when paired with Swiftfox through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Swiftfox integration everywhere

03

Built-in streaming UI primitives let you display Swiftfox tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Swiftfox + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Swiftfox MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Swiftfox in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Swiftfox tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Swiftfox capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Swiftfox through natural language queries

Example Prompts for Swiftfox in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Swiftfox immediately.

01

"List the most recently active members in Swiftfox."

02

"Log a new interaction: 'Follow-up call completed' for member ID '10293'."

03

"Show me the details for member 'Martha Stewart'."

Troubleshooting Swiftfox MCP Server with Vercel AI SDK

Common issues when connecting Swiftfox to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Swiftfox + Vercel AI SDK FAQ

Common questions about integrating Swiftfox MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.