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Swiftfox MCP Server for OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Swiftfox through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The Swiftfox app connector for OpenAI Agents 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Swiftfox Assistant",
            instructions=(
                "You help users interact with Swiftfox. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Swiftfox"
        )
        print(result.final_output)

asyncio.run(main())
Swiftfox
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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DLPData protection
V8 IsolateSandboxed
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<40msKill switch
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.

The OpenAI Agents SDK auto-discovers all 11 tools from Swiftfox through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Swiftfox, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Swiftfox

Why Use OpenAI Agents SDK with the Swiftfox MCP Server

OpenAI Agents SDK provides unique advantages when paired with Swiftfox through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Swiftfox + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Swiftfox MCP Server delivers measurable value.

01

Automated workflows: build agents that query Swiftfox, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Swiftfox, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Swiftfox tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Swiftfox to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Swiftfox in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Swiftfox + OpenAI Agents SDK FAQ

Common questions about integrating Swiftfox MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.