Lusha ACTION
Get Contact Recommendations
Fetch recommended contacts by supplying the contact's IDs, enabling Lusha to return similar profiles aligned by job title, seniority, and company context. Use requestId to get more results from a previous search. See the documentation
- Action
- Read only
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Lusha account once, then configure and run Get Contact Recommendations from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "lusha-get-contact-recommendations",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
lusha: { authProvisionId: "apn_xxxxxxx" },
requestId: "Request ID",
contacts: ["Contacts"],
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "lusha-get-contact-recommendations",
"configured_props": {
"lusha": { "authProvisionId": "apn_xxxxxxx" },
"requestId": "Request ID",
"contacts": ["Contacts"]
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "lusha",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "lusha-get-contact-recommendations",
arguments: {
requestId: "Request ID",
contacts: ["Contacts"],
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
requestId Request ID | string | Request ID for getting more results Optional |
contacts Contacts | string[] | List of contact objects to retrieve recommendations for. Example: [{ "personId": "123321", "companyId": "456789" }]. See the documentation for more information. Required |
exclude Exclude | string[] | List of contact objects to exclude from the recommendations. Example: [{ "personId": "123321", "companyId": "456789" }]. See the documentation for more information. Required |
limit Limit | integer | The maximum number of results to return. Required |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- lusha-get-contact-recommendations
- Version
- 0.0.2
- App
- Lusha
- Authentication
- API key
- Read-only
- Yes
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗