MCP server
by pipedreamhq
Pipedream — Access hosted MCP servers or deploy your own for 2,500+ APIs (Slack, GitHub, Notion, Google Drive) with buil
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.
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.
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.
NOASSERTION
Pipedream is released under the NOASSERTION license.
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
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Share your MCP server with the developer community
Strong directory entry: Pipedream surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Pipedream benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Pipedream reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Pipedream is the kind of server we cite when onboarding engineers to host + tool permissions.
Useful MCP listing: Pipedream is the kind of server we cite when onboarding engineers to host + tool permissions.
Pipedream is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Pipedream surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Pipedream surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Pipedream against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Pipedream is the kind of server we cite when onboarding engineers to host + tool permissions.
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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).
<p align="center"> <br /> <img src="./images/hero2.png" width="800px" alt="HTTP trigger + step selection menu" > <br /> </p>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.
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 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 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 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.
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, 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():
---
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ 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.