Pipedream

Pipedream handles the hard part of integrations, which is authentication. You accept OAuth or API keys on behalf of your users through a client SDK or a Connect Link, and Pipedream stores and refreshes the credentials for you. The catalog spans more than 3,000 APIs, so you skip registering OAuth clients for each one. Credentials are encrypted at rest and scoped per project, and the docs say you can revoke any account with a single API call, which matters when a user disconnects.

The platform ships a source-available registry of tools and triggers you can use as no-code building blocks or as scaffolding for your own code. Pipedream says the count runs past 10,000 across its 3,000+ APIs. A tool is a single action like sending a Slack message, and a trigger is an event like a new row in a sheet. You can add the whole registry to a SaaS app or a workflow builder, or contribute a new component through GitHub.

Pipedream's MCP server gives an AI agent a large toolbox through one endpoint. You point any MCP client at Pipedream's remote server, pass an external user ID, and the agent picks the tool and calls it with auth already handled. That means an agent can send a message, update a record or fetch data without you wiring each action by hand. It is the piece that turns an integration catalog into something an agent can actually use.

Not every request fits a prebuilt tool, so the Connect proxy lets you send custom API calls while still avoiding customer credentials in your code. You route the request through Pipedream, which injects the fresh token for that user and forwards it. You get code-level control over the request while the platform keeps secrets out of your app. It is the fallback for the long tail of endpoints no component covers yet.

Pipedream meets developers where they work. There are SDKs for TypeScript, Python and Java, plus a REST API, so you can build integrations in your own stack. For automations, a visual builder lets you chain triggers and actions without code, and you can drop into Node.js or Python when a step needs logic. The mix means the same platform serves a no-code workflow and a fully coded agent backend.

When you move past development, Pipedream runs your integrations in its managed runtime, so there is nothing to host or scale. Usage is metered two ways: external users and usage credits. Credits track Connect usage, and each action, MCP tool call, proxy request or emitted event spends credits per 30 seconds of compute. A usage records API lets you track spend programmatically, which helps teams forecast cost as adoption grows.