Team Page People Extractor MCP Server
by mambalabsdev
README.md
# Team Page People Extractor MCP Server
[](https://smithery.ai/servers/mambabuilt/mcp-team-page-people-extractor) [](https://glama.ai/mcp/servers/mambalabsdev/mcp-team-page-people-extractor) [](https://registry.modelcontextprotocol.io/v0/servers?search=com.mambabuilt/mcp-team-page-people-extractor&limit=1) [](https://www.npmjs.com/package/@mambalabsdev/mcp-team-page-people-extractor) [](https://www.npmjs.com/package/@mambalabsdev/mcp-team-page-people-extractor) [](https://github.com/mambalabsdev/mcp-team-page-people-extractor/blob/main/LICENSE) [](https://mcpservers.org/servers/mambalabsdev/mcp-team-page-people-extractor)
MCP server for the Mamba Labs [Team Page People Extractor](https://apify.com/mambalabs/team-page-people-extractor) actor on Apify.
Give it a company domain and it returns the people that company publishes on its own team, leadership or about page: names, titles, and the page each one came from. Nothing here reads LinkedIn or any other profile network.
## Install
```bash
npx -y @mambalabsdev/mcp-team-page-people-extractor
```
### Claude Desktop
```json
{
"mcpServers": {
"mamba-team-page-people-extractor": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-team-page-people-extractor"],
"env": { "APIFY_TOKEN": "your-apify-token" }
}
}
}
```
Get an Apify token at [console.apify.com/account/integrations](https://console.apify.com/account/integrations).
## Tool
### `extract_team_page_people`
Give it a company domain and it returns the people that company publishes on its own team, leadership or about page: names, titles, and the page each one came from. Nothing here reads LinkedIn or any other profile network.
| Input | Type | Required | Notes |
| --- | --- | --- | --- |
| `domain` | string | yes | A single company domain, for example swishdata.com. Protocol and path are stripped. |
| `output_grain` | enum | no | person returns one row per person, which is the default and what most Clay tables want. company returns one row per company with a people_json array plus the first five names and titles flattened into columns. |
| `seniority_filter` | enum | no | all keeps everyone the page published. executive keeps founders and C-level only. leadership adds VPs, directors and heads. |
| `max_people` | string | no | Sent as a string so Clay can map a column into it. Clamped to 1 to 200. People are ordered by seniority before the cap applies, and anything dropped is logged with the count. |
| `include_emails` | boolean | no | Off by default and you should probably leave it off. Across three domains that published an email on a team page we found one role mailbox, one placeholder in example content, and one literal user@domain.com template string. Not one was a real person's address. When on, emails come back on the COMPANY row only, never attached to a named person, because nothing on these pages proves which address belongs to whom. |
| `skipCache` | enum | no | false uses the 14 day result cache. true re-crawls the company from scratch. |
## Billing
You are charged per person found, plus a small actor start fee. A company that publishes nobody costs only the start fee.
Pricing is on the [actor's Apify page](https://apify.com/mambalabs/team-page-people-extractor). Running this server consumes Apify credits.
## What this server does and does not do
It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.
Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.
## Source
The actor is on the [Apify Store]( https://apify.com/mambalabs/team-page-people-extractor). This wrapper is [MIT licensed](LICENSE).
Built by [Mamba Labs](https://apify.com/mambalabs)
TDQS
A4.7/5.0
Scored across 1 tool
Disambiguation5/5
With only a single tool, there is no possibility of selecting the wrong tool. The tool's purpose is clearly defined and distinct.
Naming Consistency5/5
The single tool name 'extract_team_page_people' follows a clear verb_noun pattern and is descriptive. No other tool names exist to create inconsistency.
Tool Count4/5
The server offers just one tool, which is at the lower end of the scale. However, the tool is highly configurable and the server's purpose is narrowly scoped, so the count feels appropriate rather than deficient.
Completeness5/5
The tool covers all aspects of its stated purpose: extracting people, handling empty results, filtering by seniority, and optional email extraction. There are no apparent missing operations for the read-only domain.
Maintenance
ActivityMaintained
ResponsivenessNo issues