Compatible with every major AI agent and IDE
Check swiftfox status on Swiftfox
Returns a status indicator and account metadata to confirm valid credentials and active connectivity. Verify Swiftfox API connectivity
Get event fields on Swiftfox
Useful for understanding the data schema before creating or filtering events. Get custom field definitions for events
Get me on Swiftfox
Use this to verify connectivity or obtain the current user context. Get the authenticated Swiftfox user profile
Get organization on Swiftfox
Get full details of a specific organization in Swiftfox
Get person on Swiftfox
Get full details of a specific person in Swiftfox
List circles on Swiftfox
Optionally filter by a search term matching circle names. List circles (groups/domains/units) in Swiftfox
List events on Swiftfox
Events represent meetings, functions, or activities organized within the CRM. List events in Swiftfox CRM
List organizations on Swiftfox
Organizations represent companies, associations, or groups that people belong to. Optionally filter by search term. List organizations in Swiftfox CRM
List people on Swiftfox
Optionally filter by a search term that matches against names or other fields. List people (members) in Swiftfox CRM
List person subscriptions on Swiftfox
Subscriptions track membership plans, payment status, and renewal dates. List subscriptions for a specific person
List webhooks on Swiftfox
Webhooks notify external services when specific events occur (e.g., member created, subscription updated). List configured webhooks in Swiftfox
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How do I log a new phone call with a member?
Use the create_interaction tool. Provide the Member ID, the interaction type (e.g., 'call'), and your notes. The agent will instantly log it in the member's history.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
How Chatbots Interact with Swiftfox
Build automated workflows with Cursor and Claude Code by connecting to the Swiftfox MCP server.
AI-Driven member management Workflows
The Swiftfox MCP manages API routing for member management. This enables AI agents like Claude Code to execute structured communication messaging queries.
Scaling campaign management via MCP
Use the Swiftfox MCP to manage campaign management requests. Models like Claude Code utilize this connection to perform reliable communication messaging updates.
Swiftfox. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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