Pipedream▌
by pipedreamhq
Pipedream — Access hosted MCP servers or deploy your own for 2,500+ APIs (Slack, GitHub, Notion, Google Drive) with buil
Access hosted MCP servers or deploy your own for 2,500+ APIs like Slack, GitHub, Notion, Google Drive, and more, all with built-in auth and 10k tools.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers building integrations without handling auth
- / Teams automating workflows across multiple services
- / Applications needing rapid API connectivity
capabilities
- / Access 2,500+ APIs with built-in authentication
- / Deploy custom MCP servers on hosted platform
- / Connect to Slack, GitHub, Notion, Google Drive APIs
- / Use 10,000+ pre-built integration tools
- / Run Node.js, Python, Golang, or Bash code
- / Build event-driven automations
what it does
Connect to 2,500+ APIs through hosted MCP servers or deploy your own, with built-in authentication for services like Slack, GitHub, Notion, and Google Drive.
about
Pipedream is an official MCP server published by pipedreamhq that provides AI assistants with tools and capabilities via the Model Context Protocol. Pipedream — Access hosted MCP servers or deploy your own for 2,500+ APIs (Slack, GitHub, Notion, Google Drive) with buil It is categorized under developer tools.
how to install
You can install Pipedream in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
NOASSERTION
Pipedream is released under the NOASSERTION license.
readme

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 [email protected]).
<p align="center"> <br /> <img src="./images/hero2.png" width="800px" alt="HTTP trigger + step selection menu" > <br /> </p>This repo contains:
- The code for all pre-built integration components
- The product roadmap
- The Pipedream docs
- And other source code related to Pipedream.
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.
<p align="center"> <br /> <a href="https://bit.ly/3ytGgyR"> <img src="./images/demo.png" width="800px" alt="Pipedream demo static image" /> </a> </p>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:
export default {
name: "http",
version: "0.0.1",
props: {
http: "$.interface.http",
},
run(event) {
console.log(event); // event contains the method, payload, etc.
},
};
<a href="https://pipedream.com/sources/new?app=http"><img src="https://i.ibb.co/m0bBsSL/deploy-clean.png" height="35"></a>
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:
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:
<table align="center"> <tr> <td> <a href="https://pipedream.com/docs/code/nodejs/"> <img alt="Node.js" src="https://res.cloudinary.com/pipedreamin/image/upload/v1646761316/docs/icons/icons8-nodejs_aax6wn.svg" width="100"> </a> </td> <td> <a href="https://pipedream.com/docs/code/python/"> <img alt="Python" src="https://res.cloudinary.com/pipedreamin/image/upload/v1647356607/docs/icons/python-logo-generic_k3o5w2.svg" width="100"> </a> </td> </tr> </tr> <td> <a href="https://pipedream.com/docs/code/go/"> <img alt="Go" src="https://res.cloudinary.com/pipedreamin/image/upload/v1646763751/docs/icons/Go-Logo_Blue_zhkchv.svg" width="100"> </a> </td> <td> <a href="https://pipedream.com/docs/code/bash/"> <img alt="Bash" src="https://res.cloudinary.com/pipedreamin/image/upload/v1647356698/docs/icons/full_colored_dark_1_-svg_vyfnv7.svg" width="100"> </a> </td> </tr> </table>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.
// Node.js
import axios from "axios";
# Python
import pandas as pd
// 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:
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():
---
FAQ
- What is the Pipedream MCP server?
- Pipedream is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Pipedream?
- This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★68 reviews- ★★★★★Noor Smith· Dec 28, 2024
Strong directory entry: Pipedream surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Amelia Kim· Dec 16, 2024
According to our notes, Pipedream benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kwame Chawla· Dec 12, 2024
Pipedream reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Mateo Gill· Dec 8, 2024
Useful MCP listing: Pipedream is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Amelia Abbas· Dec 4, 2024
Useful MCP listing: Pipedream is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Carlos Kim· Nov 27, 2024
Pipedream is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Omar Thompson· Nov 27, 2024
Strong directory entry: Pipedream surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Mateo Menon· Nov 23, 2024
Strong directory entry: Pipedream surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Mateo Rao· Nov 23, 2024
We evaluated Pipedream against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kwame Bhatia· Nov 19, 2024
Useful MCP listing: Pipedream is the kind of server we cite when onboarding engineers to host + tool permissions.
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