Integrate Nango (Unified API & Integration Platform) with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet connection on Nango (Unified API & Integration Platform)
Get exact metadata extracting details mapped to a specific Nango connection
Get environment on Nango (Unified API & Integration Platform)
Retrieve literal environment runtime mapping logic bounds representing the active Nango instance
Get integration on Nango (Unified API & Integration Platform)
Retrieve explicit parameters mapping a single target Nango integration
List connections on Nango (Unified API & Integration Platform)
List instantiated OAuth or credential connections authenticated via Nango
List integrations on Nango (Unified API & Integration Platform)
List integration logic configurations available in Nango
List records on Nango (Unified API & Integration Platform)
List actual data records synchronized matching a connected provider mapping
List syncs on Nango (Unified API & Integration Platform)
List history or current synchronization status mapped to a connection
Security & Code Integrity Audit
Every tool in the Nango (Unified API & Integration Platform) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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 check if a data synchronization failed recently?
The list_syncs tool retrieves the synchronization history for a specific connection. Your agent will expose the log outputs and status indicators, allowing you to debug data processing issues directly from your conversation.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Nango (Unified API & Integration Platform)?
Integrate Nango (Unified API & Integration Platform) to provide your custom AI agents with direct read and write access to the capabilities listed below.
Connecting api integration with Cursor
Integrate api integration features into your LLM framework using Nango (Unified API & Integration Platform). The MCP server ensures precise command execution across your friends mcp stack.
AI-Driven oauth Workflows
Provide Claude Code and Cursor with read and write access to oauth. The Nango (Unified API & Integration Platform) toolkit handles all necessary routing for friends mcp integrations.
Nango (Unified API & Integration Platform). 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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