find_similar
Pack: exa · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)
No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/find_similar for the schema, then POST the same URL with its arguments for the data.
Find pages similar to a given URL using neural/semantic matching. Returns title, URL, relevance score, and published date. Example: find_similar({ url: “https://example.com/great-article”, num_results: 10 })
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
url | string | yes | The URL to find semantically similar pages for. |
num_results | number | no | Number of results to return (default 10, max 25) |
_apiKey | string | no | Optional — your own Exa API key for higher limits; omit to use the shared Pipeworx key. |
Example call
Arguments
{
"url": "https://example.com/great-article",
"num_results": 10
}
curl
curl -X POST https://gateway.pipeworx.io/exa/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_similar","arguments":{"url":"https://example.com/great-article","num_results":10}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('find_similar', {
"url": "https://example.com/great-article",
"num_results": 10
});
Connect
Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:
{
"mcpServers": {
"pipeworx": {
"url": "https://pipeworx.io/mcp"
}
}
}
Connect to just the exa pack
{
"mcpServers": {
"exa": {
"url": "https://gateway.pipeworx.io/exa/mcp"
}
}
}
See Getting Started for client-specific install steps.