Apify MCP — run web-scraping Actors and fetch their dataset results.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add mcp-apify -- npx -y @pipeworx/mcp-apify{
"mcpServers": {
"mcp-apify": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-apify"]
}
}
}MCP Servers overview
# mcp-apify
Apify MCP — run web-scraping Actors and fetch their dataset results.
Part of [Pipeworx](https://pipeworx.io) — an MCP gateway connecting AI agents to 1576+ live data sources.
## Tools
| Tool | Description |
|------|-------------|
| `apify_run_actor` | Run an Apify Actor (a cloud scraping/automation program) and get its dataset results in a single blocking call. The run is capped at 300 seconds. Pass the Actor input as an `input` object — its shape depends on the Actor. Example: apify_run_actor({ actorId: "apify~web-scraper", input: { startUrls: [{ url: "https://example.com" }] }, _apiKey: "your-token" }). Browse Actors at https://apify.com/store. |
| `apify_scrape_url` | Scrape a single web page (or crawl from it) and get clean, RAG-friendly markdown content. Convenience wrapper around the "apify~website-content-crawler" Actor. Example: apify_scrape_url({ url: "https://docs.apify.com/api/v2", _apiKey: "your-token" }). |
| `apify_dataset_items` | Fetch items from an existing Apify dataset (e.g. the output of a prior Actor run). Example: apify_dataset_items({ datasetId: "abc123", limit: 50, _apiKey: "your-token" }). |
## Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
```json
{
"mcpServers": {
"apify": {
"url": "https://gateway.pipeworx.io/apify/mcp"
}
}
}
```
### What this endpoint actually serves
`tools/list` at `https://gateway.pipeworx.io/apify/mcp` returns the tools in the table
above **plus the shared Pipeworx meta-tools** — `ask_pipeworx`,
`discover_tools`, `search_within`, `remember`/`recall` and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's `initialize` response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
`ask_pipeworx`, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed
directly, instead of just this one's:
```json
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
```
Both URLs reach the same gateway and the same 1576+ data sources. The
only difference is which pack's tools are listed **directly**; `ask_pipeworx`
reaches all of them from either one.
## Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no
gateway round-trip:
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-apify"]
}
}
}
```
Or run it directly to confirm it starts:
```bash
npx -y @pipeworx/mcp-apify
```
It speaks MCP over stdin/stdout and answers `initialize`/`tools/list`/`tools/call`
for **only** this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
## Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English —
this works on the pack endpoint above as well as on the full gateway:
```
ask_pipeworx({ question: "your question about Apify data" })
```
The gateway picks the right tool and fills the arguments automatically.
## More
- [Docs and guides](https://pipeworx.io/docs)
- [pipeworx.io](https://pipeworx.io)
## License
MIT
What people ask about mcp-apify
What is pipeworx-io/mcp-apify?
+
pipeworx-io/mcp-apify is mcp servers for the Claude AI ecosystem. Apify MCP — run web-scraping Actors and fetch their dataset results. It has 0 GitHub stars and its last recorded update is dated 2026-09-17.
How do I install mcp-apify?
+
You can install mcp-apify by cloning the repository (https://github.com/pipeworx-io/mcp-apify) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is pipeworx-io/mcp-apify safe to use?
+
Our security agent has analyzed pipeworx-io/mcp-apify and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains pipeworx-io/mcp-apify?
+
pipeworx-io/mcp-apify is maintained by pipeworx-io. The last recorded GitHub activity is dated 2026-09-17, with 0 open issues.
Are there alternatives to mcp-apify?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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