Team Page People Extractor MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APIFY_TOKEN | Yes | Your Apify API token. Get it at https://console.apify.com/account/integrations |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| extract_team_page_peopleA | Extract the people a company publishes on its own team, leadership or about page, and return their names, titles and the page each one came from. It also reports which pages it actually reached, so an empty result tells you whether the company publishes nobody or whether the site could not be read, which are very different answers. output_grain person returns one row per person and is what most tables want; output_grain company returns one row per company with a people_json array plus the first five names and titles flattened into columns. seniority_filter narrows to founders and C level, or adds VPs, directors and heads. People are ordered by seniority before max_people applies, and anything dropped is logged with a count. include_emails is off by default and should usually stay off: across the domains tested, the addresses published on team pages were role mailboxes, placeholders and literal template strings rather than real people, so when it is on the emails come back on the company row only and are never attached to a named person. Results are cached for 14 days. Nothing here scrapes LinkedIn or any profile network; it reads only what the company published itself. Requires an APIFY_TOKEN and consumes Apify credits. Read only. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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