pipedream

pipedream

Integration platform for event-driven automations

10,517
Stars
5,479
Forks
10,517
Watchers
4,231
Issues
Pipedream is a hosted integration platform enabling developers to connect applications and automate workflows through event-driven sequences. It supports over 1,000 pre-built integrations with popular services, allowing users to combine pre-built actions with custom code in Node.js, Python, Go, or Bash. The platform offers features such as workflows, event sources, actions, and destinations for flexible automation, and provides a generous free tier for individuals. Its extensible architecture supports both low-code and custom coding approaches.

Key Features

Supports over 1,000 pre-built app integrations
Enables event-driven workflow automation
Allows custom code steps in Node.js, Python, Go, and Bash
Provides event sources for triggering workflows from external services
Offers reusable actions for common operations
Integrates with various destinations like Amazon S3, Snowflake, HTTP, and email
REST API and SSE stream for real-time event consumption
Component-based architecture for modularity
Low-code interface combined with advanced coding capabilities
SOC 2 Type 2 compliant for security

Use Cases

Automate sending Slack notifications based on GitHub events
Sync new data entries from Airtable to Google Sheets
Create custom integrations between SaaS tools using code
Schedule recurring workflows and cron jobs
Push data to Amazon S3 or Snowflake for analytics
Rapid prototyping of business automation without heavy DevOps
Monitor RSS feeds and trigger actions on updates
Send automated emails on specific triggers
Batch process and transform API data across multiple platforms
Build custom event sources and actions for proprietary internal apps

README

pipedream

Pipedream is an integration platform for developers.

Pipedream provides a free, hosted platform for connecting apps and developing event-driven automations. The platform has over 1,000 fully-integrated applications, so you can use pre-built components to quickly send messages to Slack, add a new row to Google Sheets, and more. You can also run any Node.js, Python, Golang, or Bash code when you need custom logic. Pipedream has demonstrated SOC 2 compliance and can provide a SOC 2 Type 2 report upon request (please email support@pipedream.com).

This repo contains:

This README explains the key features of the platform and how to get started.

To get support, please visit https://pipedream.com/support.

Key Features

  • Workflows - Workflows run automations. Workflows are sequences of steps - pre-built actions or custom Node.js, Python, Golang, or Bash code - triggered by an event (HTTP request, timer, when a new row is added to a Google Sheets, and more).
  • Event Sources - Sources trigger workflows. They emit events from services like GitHub, Slack, Airtable, RSS and more. When you want to run a workflow when an event happens in any third-party app, you're using an event source.
  • Actions - Actions are pre-built code steps that you can use in a workflow to perform common operations across Pipedream's 1,000+ API integrations. For example, you can use actions to send email, add a row to a Google Sheet, and more.
  • Custom code - Most integrations require custom logic. Code is often the best way to express that logic, so Pipedream allows you to run any Node.js, Python, Golang, or Bash code. You can import any package from the languages' package managers, connect to any Pipedream connected app, and more. Pipedream is "low-code" in the best way: you can use pre-built components when you're performing common actions, but you can write custom code when you need to.
  • Destinations - Deliver events asynchronously to common destinations like Amazon S3, Snowflake, HTTP and email.
  • Free - No fees for individual developers (see limits)

Demo

Click the image below to watch a brief demo on YouTube.

Workflows

Workflows are sequences of linear steps triggered by an event (like an HTTP request, or when a new row is added to a Google sheet). You can quickly develop complex automations using workflows and connect to any of our 1,000+ integrated apps.

See our workflow quickstart to get started.

Event Sources

Event Sources watch for new data from services like GitHub, Slack, Airtable, RSS and more. When a source finds a new event, it emits it, triggering any linked workflows.

You can also consume events emitted by sources using Pipedream's REST API or a private, real-time SSE stream.

When a pre-built source doesn't exist for your use case, you can build your own. Here is the simplest event source: it exposes an HTTP endpoint you can send any request to, and prints the contents of the request when invoked:

javascript
export default {
  name: "http",
  version: "0.0.1",
  props: {
    http: "$.interface.http",
  },
  run(event) {
    console.log(event); // event contains the method, payload, etc.
  },
};

You can find the code for all pre-built sources in the components directory. If you find a bug or want to contribute a feature, see our contribution guide.

Actions

Actions are pre-built code steps that you can use in a workflow to perform common operations across Pipedream's 500+ API integrations. For example, you can use actions to send email, add a row to a Google Sheet, and more.

You can create your own actions, which you can re-use across workflows. You can also publish actions to the entire Pipedream community, making them available for anyone to use.

Here's an action that accepts a name as input and prints it to the workflow's logs:

javascript
export default {
  name: "Action Demo",
  description: "This is a demo action",
  key: "action_demo",
  version: "0.0.1",
  type: "action",
  props: {
    name: {
      type: "string",
      label: "Name",
    },
  },
  async run() {
    return `hello ${this.name}!`;
  },
};

You can find the code for all pre-built actions in the components directory. If you find a bug or want to contribute a feature, see our contribution guide.

Custom code

Most integrations require custom logic. Code is often the best way to express that logic, so Pipedream allows you to run custom code in a workflow using:

You can import any package from the languages' package managers by declaring the imports directly in code. Pipedream will parse and download the necessary dependencies.

javascript
// Node.js
import axios from "axios";
python
# Python
import pandas as pd
golang
// Go
import (
    "fmt"
    pd "github.com/PipedreamHQ/pipedream-go"
)

You can also connect to any Pipedream connected app in custom code steps. For example, you can connect your Slack account and send a message to a channel:

javascript
import { WebClient } from "@slack/web-api";

export default defineComponent({
  props: {
    // This creates a connection called "slack" that connects a Slack account.
    slack: {
      type: "app",
      app: "slack",
    },
  },
  async run({ steps, $ }) {
    const web = new WebClient(this.slack.$auth.oauth_access_token);

    return await web.chat.postMessage({
      text: "Hello, world!",
      channel: "#general",
    });
  },
});

Destinations

Destinations, like actions, abstract the connection, batching, and delivery logic required to send events to services like Amazon S3, or targets like HTTP and email.

For example, sending data to an Amazon S3 bucket is as simple as calling $send.s3():

javascript
$send.s3({
  bucket: "your-bucket-here",
  prefix: "your-prefix/",
  payload: event.body,
});

Pipedream supports the following destinations:

Contributors

Thank you to everyone who has contributed to the Pipedream codebase. We appreciate you!

Pricing

Pipedream has a generous free tier. You can run sources and workflows for free within the limits of the free tier. If you hit these limits, you can upgrade to one of our paid tiers.

Limits

The Pipedream platform imposes some runtime limits on sources and workflows. Read more about those in our docs.

Found a Bug? Have a Feature to suggest?

Before adding an issue, please search the existing issues or reach out to our team to see if a similar request already exists.

If an issue exists, please add a reaction or add a comment detailing your specific use case.

If an issue doesn't yet exist and you need to create one, please use the issue templates.

Security

You can read about our platform security and privacy here.

If you'd like to report a suspected vulnerability or security issue, or have any questions about the security of the product, please contact our security team at security@pipedream.com.

Star History

Star History Chart

Repository Owner

PipedreamHQ
PipedreamHQ

Organization

Repository Details

Language JavaScript
Default Branch master
Size 630,152 KB
Contributors 30
License Other
MCP Verified Sep 1, 2025

Programming Languages

JavaScript
95.65%
TypeScript
4.26%
Jupyter Notebook
0.08%
Shell
0.01%
HTML
0%
Dockerfile
0%
Makefile
0%

Topics

apis automation bash cli data-flow event-sourcing eventsourcing golang integration-flow integrations ipaas low-code low-code-development-platform nodejs python serverless typescript workflow workflows

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • mcp

    mcp

    Universal remote MCP server connecting AI clients to productivity tools.

    WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

    • 27
    • MCP
    • waystation-ai/mcp
  • awslabs/mcp

    awslabs/mcp

    Specialized MCP servers for seamless AWS integration in AI and development environments.

    AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

    • 6,220
    • MCP
    • awslabs/mcp
  • mindsdb

    mindsdb

    Connect, unify, and query data at scale with an open-source AI platform.

    MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

    • 35,487
    • MCP
    • mindsdb/mindsdb
  • mcp-server-js

    mcp-server-js

    Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

    YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

    • 31
    • MCP
    • yepcode/mcp-server-js
  • mcpmcp-server

    mcpmcp-server

    Seamlessly discover, set up, and integrate MCP servers with AI clients.

    mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

    • 17
    • MCP
    • glenngillen/mcpmcp-server
  • anyquery

    anyquery

    Universal SQL query engine for files, databases, apps, and LLM integration.

    Anyquery is a SQL query engine that enables users to run SQL queries on a wide array of data sources, including files, databases, and popular applications via plugins. It supports integrations with large language models (LLMs) through the Model Context Protocol (MCP), providing seamless access for AI models to query data. Built on SQLite, it extends functionality with a plugin system and can also function as a MySQL server for compatibility with conventional SQL clients. Its flexible installation options and broad plugin ecosystem allow extensive customization and integration.

    • 1,298
    • MCP
    • julien040/anyquery
  • Didn't find tool you were looking for?

    Be as detailed as possible for better results