Open-source unified API platform with 700+ pre-built connectors, managed OAuth, and real-time data syncing for building product integrations.
Open-source unified API platform with 700+ pre-built connectors, managed OAuth, and real-time data syncing for building product integrations.
Nango is an open-source integration platform that lets developers build, run, and maintain product integrations with 700+ APIs using a code-first approach and AI-assisted development. It is built for SaaS engineering teams that need to ship reliable, customer-facing integrations without building custom API connectors from scratch.
At its core, Nango provides three things: a library of 700+ pre-built API connectors with managed OAuth authentication, a TypeScript scripting framework for customizing data transformations, and enterprise-grade sync infrastructure that handles pagination, retries, rate limiting, and incremental data updates automatically. This combination means teams can go from zero to production-ready integrations in days rather than months.
Nango takes a fundamentally developer-centric approach to integrations. Rather than relying on drag-and-drop workflow builders, integrations are written as TypeScript functions that live in your codebase, tracked with git, and deployed through your existing CI/CD pipeline. This means integrations benefit from the same code review, testing, and version control processes as the rest of your application. The platform provides a CLI for local development and testing, including a dryrun command that validates syncs against real API data before deployment.
The platform supports full and incremental data syncing, real-time webhook ingestion, and 2-way sync capabilities. Its managed authentication layer handles the complete OAuth 2.0 lifecycle — initial authorization, secure token storage, automatic refresh, and error recovery — for every supported provider. This alone eliminates what typically accounts for 40–60% of integration development time.
For AI-powered applications, Nango includes a built-in MCP (Model Context Protocol) server and LLM tool calling support, enabling AI agents to discover and invoke integrations through a standardized interface. Developers can also use AI assistants to generate integration scaffolds directly from their IDE, further accelerating development.
Nango's managed cloud infrastructure delivers sub-100ms execution latency, 99.9% uptime, and elastic auto-scaling that handles traffic spikes and webhook floods automatically. Tenant isolation ensures secure, fair execution across customers. For teams that need full control over data residency, the open-source core (7,000+ GitHub stars, Elastic License 2.0) can be self-hosted on your own infrastructure.
Notable production users include Motion (60+ integrations syncing tens of millions of jobs monthly), Replit (30+ integrations with connection triggers), Vapi (inline integrations during live calls requiring sub-100ms latency), and thousands of other companies from startups to enterprises. The platform processes billions of API requests per month across its managed infrastructure.
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Nango maintains a continuously updated library of 700+ API connectors with managed OAuth 2.0 and API key authentication. Each connector handles the complete auth flow including token refresh and secure credential storage, plus provider-specific quirks like rate limiting and pagination. The open-source model means developers can contribute new connectors or customize existing ones without waiting on Nango's roadmap.
Integrations are written as TypeScript functions using Nango's SDK, which provides built-in pagination (async iterators), configurable retries, batch save operations, and delete tracking. Because integration code lives in your repository and is tracked with git, it benefits from standard code review, testing, and CI/CD deployment processes — unlike black-box visual builders that store logic outside your codebase.
Developers can generate complete integration scaffolds using AI assistants like Claude directly from their IDE. The Nango CLI supports local testing via the dryrun command, allowing developers to validate syncs against real API data before deploying. This AI-in-the-loop workflow significantly accelerates development — teams can go from zero to a working sync in minutes rather than hours.
Nango's managed infrastructure delivers sub-100ms execution latency with elastic auto-scaling that handles traffic spikes and webhook floods automatically. The platform processes billions of API requests monthly with 99.9% uptime and tenant isolation that ensures fair, secure execution of each customer's integrations. Full and incremental sync modes with 2-way data support keep local data copies current without wasteful polling.
Nango natively supports AI agent use cases through LLM tool calling capabilities and a built-in MCP (Model Context Protocol) server. This allows AI agents to discover and invoke integrations through a standardized interface, making Nango a natural fit for teams building AI-powered products that need to read from or write to external APIs as part of agentic workflows.
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In 2026, Nango expanded its connector library from 250+ to 700+ APIs and introduced AI-assisted integration development, allowing developers to generate integration code using AI from any IDE. The platform added a built-in MCP (Model Context Protocol) server for AI agent interoperability and LLM tool calling support, positioning it as an integration layer for agentic AI applications. Infrastructure improvements include sub-100ms function execution latency, elastic auto-scaling for handling traffic spikes, and enhanced tenant isolation for secure multi-customer deployments.
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