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Coding agents can speed up Nango integration work in two places: wiring Nango into your product and building Nango Functions.
Getting started with Nango and want to use a coding agent? Check out the AI-assisted quickstart.
This page is about generating integrations with AI. To expose Nango integrations to your product’s agents, see Tool calling & MCP.

Docs MCP server

Add Nango’s documentation MCP server to your coding agent to allow it to research docs & examples:
https://nango.dev/docs/mcp
It is public and does not require authentication.

Skills

Nango’s public skills live in NangoHQ/skills. Install the core skill to implement Nango integration functions:
npx skills add NangoHQ/skills -s building-nango-functions
See the functions guide for more details.

Just-in-time integrations

Nango integrations are defined as code. Usually, you or your coding agent write functions in a Git repo, review them like application code, and deploy them to Nango. Nango also exposes a Functions API for creating integrations just in time, without asking the user to interact with a codebase. A user can describe the integration behavior in text, and an agent can turn that into function code, compile it, dry run it against a connection, and deploy it directly to Nango. This is useful for faster onboarding, prototypes, and dynamic product experiences where integration behavior depends on what the user needs at that moment. It blurs the line between creating and consuming integrations: at consumption time, an agent can define the behavior, validate it, and make it available through Nango. See build with the Functions API for the workflow and API references.

Other agent tools

These resources help agents discover Nango docs, provider slugs, API shapes, and runtime tool-calling paths.
ToolURLUse it for
Docs MCP serverhttps://nango.dev/docs/mcpLive docs context inside coding agents.
llms.txthttps://nango.dev/docs/llms.txtCompact index of core Nango docs for LLM context windows.
llms-full.txthttps://nango.dev/docs/llms-full.txtFull generated docs text for deeper offline context.
api-catalog.txthttps://nango.dev/docs/api-catalog.txtProvider and integration slug discovery.
OpenAPI spechttps://nango.dev/docs/spec.yamlExact HTTP API schemas for code generation or typed clients.