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Harbor vs Nango

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Nango and Harbor overlap when the problem is tool and integration composition, but they assume different callers. Nango is a code-first integration platform: a backend service imports the Nango SDK, runs a managed OAuth flow, and reads pre-shaped data from Nango. Harbor is an all-in-one agent execution layer: an agent connects to a workspace of tools over MCP and either inspects connected sources or runs typed code through `hrbr exec` on Cloudflare Workers, with workspace-scoped credentials, state, artifacts, jobs, apps, workflows, and run / trace audit. Pick by who calls the integrations — your backend code (Nango) or your agent (Harbor).

Pick Harbor if
you want agents to compose connected tools and workspace state inside traced runs, not just call an integration SDK from your backend.
Pick Nango if
you are integrating SaaS APIs from a server-side codebase and want a code-first SDK and unified API across many providers.

Harbor vs Nango: the honest take

Nango is a code-first integration platform whose 2026 framing is "the integration layer for AI-built, code-owned product integrations" — coding agents help generate the TypeScript integration functions, AI agents consume them at runtime. Services import the Nango SDK, run a managed OAuth flow against a catalogue of 700+ supported APIs, and read pre-shaped data from Nango; token refresh, pagination, and provider quirks are handled for you. Nango develops its core in public at github.com/NangoHQ/nango and publishes self-serve pricing on nango.dev/pricing.

Where Harbor is the better fit

Harbor leads when the consumer is an agent, not your backend code. The protected MCP endpoint at mcp.tryharbor.ai/mcp advertises OAuth metadata, and workspace tenancy binds plugin connections, OAuth state, runs, and traces to a workspace_id. The `hrbr exec` runtime runs server-side TypeScript in a Cloudflare codemode Worker isolate with `orbit.*` primitives in scope, while provider credentials are dispatched host-side rather than exposed to user code.

Where Nango is the better fit

Nango leads when the caller is your own backend and you want full control over scheduling, retries, and persistence. The open-source core enables self-host where audit of the integration layer is a hard requirement, and the SDK / unified API across many providers is shaped for server-side code rather than agent-driven runs.

Side-by-side

Where a winner is indicated, it reflects Harbor's view of which fit is better for an AI-agent control-plane use case. Where neither cell has a marker, the choice depends on context.

Comparison of Harbor and Nango on workspace-scoped MCP control plane attributes.
AttributeHarborNango
Workspace tenancyHarbor: apps/api schema. Nango: docs.nango.devHarbor's pick: Harbor.Workspace is the top-level isolation primitiveevery plugin connection, OAuth grant, run, and trace is bound to a workspace_idAccount / environment modelNango organises around an account containing one or more environments and per-end-user connections; confirm the current model on docs.nango.dev
MCP server hosting modelHarbor: CLAUDE.md "MCP Mental Model". Nango: docs.nango.devHarbor's pick: Harbor.Consumes third-party MCP servers; exposes a protected Harbor MCP endpointmcp.tryharbor.ai/mcp advertises protected-resource metadata; Harbor also installs third-party MCP servers as pluginsNot advertised as an MCP server productNango ships an SDK for backend code; verify any first-party MCP surface on docs.nango.dev before asserting
Integration / plugin countHarbor: registry catalog (build-time). Nango: nango.dev149 registry entries / 135 unique provider familiesderived at build time from packages/sdk/registry-catalog/data/v1/catalog.jsonHarbor's pick: competitor.Cite live count at nango.devNango advertises broad SaaS-provider coverage on its homepage; record the current vendor-stated count at edit time rather than asserting a stale number
Deployment modelHarbor: apps/api wrangler.jsonc. Nango: github.com/NangoHQ/nango + nango.devHosted onlymanaged tryharbor.ai; first-party self-host is on the Enterprise roadmapHarbor's pick: competitor.Hosted SaaS + open-source self-hostNango is a managed cloud product on nango.dev and an open-source repo on github.com/NangoHQ/nango that can be self-hosted; confirm current self-host scope in the repo README
Runtime substrateHarbor: apps/api/wrangler.jsonc. Nango: nango.devCloudflare Workers + D1 + KV + R2 + Vectorize + Workflows + Durable Objectsapps/api on Workers; runs persisted to D1; credential state is KV-backedNot publicly disclosedNango runs a managed cloud product and ships an open-source backend; the deployed substrate is not stated on nango.dev
OAuth modelHarbor: apps/api/src/plugins/oauth/. Nango: docs.nango.devHarbor's pick: Harbor.Workspace-scoped grants and policy checksauthorization above the provider consent screen; tokens bound to workspace_id, not user profilePer-connection OAuth (managed flow)Nango exposes a managed connection per (integration, end-user); confirm finer-grained tool-level revocation semantics on docs.nango.dev
OSS licenseHarbor: github.com/zonko-ai. Nango: github.com/NangoHQ/nangoSDK public on github.com/zonko-ai/harbor-sdkcontrol plane closed sourceHarbor's pick: competitor.Open-source core at github.com/NangoHQ/nangoverify the current SPDX identifier in the repo LICENSE file before relying on a specific OSS classification
Pricing modelHarbor: tryharbor.ai/. Nango: nango.dev/pricingHarbor's pick: tie.Free + Workspace + Enterprise tiersWorkspace tier usage-based units not yet priced publiclyHarbor's pick: tie.Public pricing page at nango.dev/pricingrecord the live plan names, units, and self-serve thresholds at edit time
Observability surfaceHarbor: apps/api/src/plugins/worker/. Nango: docs.nango.devHarbor's pick: Harbor.Runs + spans + workspace-scoped history, persisted to D1exec paths create runs with spans for query and inspectionPer-connection sync logs and webhooksNango exposes sync runs and per-connection event logs in its dashboard; verify whether per-call traces are surfaced as a first-class object on docs.nango.dev
Identity & inbound authHarbor: WorkOS dashboard + apps/api auth routes. Nango: docs.nango.devWorkOS / AuthKit for web sign-in; protected metadata for inbound MCPSAML / OIDC / SCIM available via WorkOS on EnterpriseNot publicly disclosed in fullNango is consumed by your backend code; the IdP options for its dashboard (SAML / OIDC / SCIM tier availability) should be confirmed on nango.dev / docs.nango.dev
Sandbox / execution isolationHarbor: apps/api/src/plugins/worker/. Nango: docs.nango.dev SDK guidesHarbor's pick: Harbor.Cloudflare codemode Worker isolate, separate from the Harbor API Workerprovider tokens are never exposed to executing code; credentials are dispatched host-sideCustomer code runs in the customer service processthe Nango SDK is imported into your backend; integration code therefore runs wherever you deploy that service, and provider tokens are accessible to that process via Nango's APIs
Durable workflow supportHarbor: harbor-workflows skill. Nango: docs.nango.devHarbor's pick: tie.step.do / step.sleep / step.waitForEvent via hrbr exec → Cloudflare Workflowsauto-routed to the Workflows lane when hrbr exec uses step.*; survives the 30s synchronous capHarbor's pick: tie.Scheduled syncs frameworkNango provides a syncs / actions framework for periodic provider data ingestion; verify durable retry / sleep / external-event resume primitives on docs.nango.dev
Public docsHarbor: docs.tryharbor.ai. Nango: docs.nango.devHarbor's pick: tie.docs.tryharbor.ai with concept docs, guides, recipes; llms.txt publishedllms.txt is live; verify any expanded LLM docs when they shipHarbor's pick: tie.docs.nango.dev with SDK reference and per-provider integration pagesrecord llms.txt presence at edit time

Source · Harbor cells grounded in this repository (routes, schemas, registry catalog, and runtime bindings). Nangocells grounded in the competitor's own public site and docs at www.nango.dev. Cells we could not verify from a primary source are marked “Not publicly disclosed” rather than guessed.

What does Nango do?

Nango is a code-first integration platform aimed at backend developers. A service imports the Nango SDK, points users through a managed OAuth flow, and reads pre-shaped data from Nango; Nango handles token refresh, pagination, and per-provider quirks so the backend can treat many SaaS providers through a more uniform shape. Nango also offers a syncs / actions framework for keeping provider data continuously up to date.

The Nango core repository is publicly developed on GitHub at github.com/NangoHQ/nango, and the product surface (docs.nango.dev, nango.dev) is shaped for developers — SDK references, OAuth flow guides, and per-provider integration pages. Pricing is published on nango.dev/pricing.

How does Harbor differ?

Harbor is positioned as an all-in-one agent execution layer, not as an integration SDK for backend code. The primary consumer in Harbor's model is an MCP client or coding harness that connects to a workspace and submits exec work through Harbor's server-side runtime. The execution layer is TypeScript running in a Cloudflare codemode Worker isolate, with workspace tools, credentials, state, artifacts, jobs, apps, workflows, traces, and `orbit.*` runtime primitives (`hrbr.storage`, `hrbr.cache`, `hrbr.db`, `hrbr.ai`, `hrbr.tools`, `hrbr.jobs`) in scope.

Nango assumes you control a backend that imports its SDK. Harbor assumes you control an agent (or a person inside a coding harness) that wants to use the tools your workspace has connected. Both are valid; the choice is who initiates the integration call.

When should I pick Harbor over Nango?

Pick Harbor when the consumer is an agent and you want MCP-first ingress, workspace tenancy, and traced exec runs you can inspect later. Pick Harbor when you need workspace-scoped tool access and policy checks around connected SaaS APIs.

Pick Harbor when you want Cloudflare-native operational characteristics: KV-backed credential state, runs persisted to D1, long-running pipelines on Workflows where the step-based path applies, and a typed exec runtime with no separate server to host.

When should I pick Nango over Harbor?

Pick Nango when the consumer is your backend code, not an agent. If your team writes a Node, Python, or Go service that needs OAuth to many SaaS providers, mature per-provider quirks coverage, and a code-first SDK and unified API, Nango's model fits that more directly than wrapping the same integrations behind an MCP server.

Pick Nango when keeping the integration layer inside your own service process matters — for example, when you want full control over scheduling, retries, and persistence on your side. Nango also publishes an open-source core at github.com/NangoHQ/nango, which is useful when self-host or audit of the integration layer is a hard requirement.

Can I use both?

Yes. Harbor can consume third-party MCP servers as plugins. If Nango exposes (or you wrap Nango behind) an MCP server, you can install it into a Harbor workspace and call the same Nango-managed integrations through `hrbr exec` while keeping Harbor's workspace tenancy and run / trace history around the calls. The reverse direction depends on the Nango-side client support for Harbor's protected MCP endpoint and should be verified for the specific flow.

The practical pattern is to let each platform own the side it was designed for: Nango on the backend integration path, Harbor on the agent / MCP path. The protocol boundary that joins them is MCP.

Frequently asked

Is Harbor an MCP-first version of Nango?
No. Nango is a code-first integration SDK for backend code; Harbor is an all-in-one execution layer for agents. They overlap on "give me a managed OAuth flow to a SaaS provider" but the calling pattern is different — Nango is called from your backend; Harbor is called from an agent over MCP or from a TypeScript program submitted to `hrbr exec`.
Does Harbor have as many integrations as Nango?
Harbor's registry catalogue exposes 149 registry entries covering 135 unique provider families (derived from packages/sdk/registry-catalog/data/v1/catalog.json). Nango advertises broad SaaS coverage on its homepage. If raw integration count is the deciding factor, verify the current numbers against each vendor's catalogue at docs.tryharbor.ai/plugins/catalog and nango.dev.
How does workspace tenancy compare?
Harbor binds every plugin connection, OAuth token, run, and trace to a workspace as the top-level isolation boundary. Nango organises around an account and environments, which is a different model — appropriate for a backend SDK but not directly equivalent to a per-workspace runtime. Verify Nango's current account / environment behaviour on docs.nango.dev for procurement decisions.
Is Nango open source?
Nango develops its core in public at github.com/NangoHQ/nango. The exact license terms should be confirmed against the repository's current LICENSE file before relying on a specific OSS classification.
Can Harbor consume Nango integrations?
Yes via the MCP boundary. Anything exposed over an MCP server can be installed as a Harbor plugin and invoked through `hrbr exec`. A Nango integration accessed through your own MCP wrapper, or through an officially Nango-hosted MCP server if one exists at the time you set this up, is compatible with Harbor's plugin model.

Primary sources

These are the competitor-owned pages used to ground this comparison. We link primary sources instead of copying unsupported market claims.

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