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Nango makes it simple to authorize APIs and call external tools from any LLM or AI framework.

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When should you use Nango for AI tool calling?

Use Nango whenever your AI needs to take action in the real world.
  • You want your agent or LLM workflow to create, update, or fetch data from real APIs.
  • You want to avoid building your own auth, tool infrastructure, or execution sandbox.
  • You need reliability, observability, and scalability for tool calls.

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Common examples

  • Letting an AI agent create or update a CRM opportunity.
  • Having a chatbot fetch live context from Notion, Linear, or HubSpot.
  • Running automations triggered by an LLM (e.g., “schedule a meeting” or “create a task”).
For RAG-style use cases where data must be replicated locally, use Syncs instead.

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Key facts

  • Framework-agnostic: Works with any agentic or LLM framework (or none at all).
    Compatible with OpenAI Agents SDK, Vercel AI SDK, LangChain, LlamaIndex, and more.
  • Unified API auth: Securely authorize access to third-party APIs via Nango’s Auth system.
    You can even surface Connect Links directly in your chat UI for user-driven OAuth.
  • Tool execution via Actions:
    • Tools in Nango are powered by Actions.
    • Use prebuilt templates for common tools (e.g. “Create Lead”, “Send Message”).
    • Or build your own Actions for full control and reliability.
    • Autonomous tool introspection & selection (reference)
  • MCP-compatible:
    • Expose your integrations through Nango’s built-in MCP Server.
    • Follow our implement the MCP Server guide.
    • Check out the MCP server demo
    • Connect to existing official MCP servers (e.g. Notion, Linear) with Nango’s MCP auth.
  • Secure, scalable, and observable:
    • Tool code runs in sandboxed, elastic environments.
    • Under 100ms overhead for tool executions — fast enough for human-in-the-loop workflows.
    • Logs and metrics to monitor and optimize your tool calls.

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How it works

  1. Authorize: Your users connect their accounts via Nango.
  2. Expose tools: You configure which Actions your LLM or agent can call.
  3. Call tools: The agent invokes Nango-hosted Actions via API or MCP.
  4. Observe & optimize: Track results and performance in Nango’s Logs.

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Implementation guides

Nango works with any framework or SDK that supports tool calling. Here some example guides: