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Swiftfox MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Check Swiftfox Status, Get Event Fields, Get Me, and more

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Swiftfox through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Swiftfox app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "swiftfox": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Swiftfox Agent",
    instructions:
      "You help users interact with Swiftfox " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Swiftfox?"
  );
  console.log(result.text);
}

main();
Swiftfox
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High SecurityEnterprise-grade
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DLPData protection
V8 IsolateSandboxed
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Swiftfox tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 11 tools from Swiftfox via MCP

Why Use Mastra AI with the Swiftfox MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Swiftfox without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Swiftfox tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Swiftfox + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Swiftfox, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Swiftfox as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Swiftfox on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Swiftfox tools alongside other MCP servers

Example Prompts for Swiftfox in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Swiftfox + Mastra AI FAQ

Common questions about integrating Swiftfox MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.