Partner and Member Directory Extractor MCP Server
You can extract structured company listings from partner directories and member lists through an Apify-backed, read-only MCP tool.
Extract company rows from PartnerPage directories (e.g., Clay, Zapier), Shopify Partner Directory pages, and member lists that link to one profile page per member.
Supply one
directory_urlor up to 20directory_urls.Control runs with
max_listings,max_pages,include_details,dedupe_domains, and optionalmax_charge_usd.Receive rows with listing name, domain, website, listing URL, tier, tags, location, rating, review count, partner-since date, and published email/phone.
Get robots.txt checks, domain deduplication, free skipped repeats, and unsupported-directory rows marked
row_status: unsupported.Requires
APIFY_TOKEN; usage is billed per company row on Apify.
Allows extracting companies from the Shopify Partner Directory, returning each listed partner as a row with website, domain, tier, tags, location, rating, review count, partner since, and published email and phone details.
Allows extracting companies from the Zapier partner directory via PartnerPage, returning partner listings with website, domain, tier, tags, location, and other published directory details.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Partner and Member Directory Extractor MCP Server List every agency in the Clay experts directory with website and tier"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Partner and Member Directory Extractor MCP Server
An MCP server for the Mamba Labs Partner and Member Directory Extractor actor on Apify. Give it a partner directory or a member list URL. Each listed company comes back as one row with its website, domain, tier, tags, and location.
What's Inside
Related MCP server: Team Page People Extractor MCP Server
What it does
The actor reads three directory families: directories built on PartnerPage (Clay's Solutions Partner Directory and the Zapier partner directory among them), read through PartnerPage's public listing API; the Shopify Partner Directory; and member lists that link to one profile page per member, such as a trade association directory. Each row carries listing_name, company_domain, website, listing_url, tier, tags, location, rating, review_count, partner_since, and the listed_email and listed_phone the directory publishes. robots.txt is checked before every request. A directory that builds its list in the browser returns one free row with row_status unsupported.
All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.
Quick start
You need Node.js 18 or newer and an Apify account with an API token.
Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:
{
"mcpServers": {
"mamba-partner-member-directory-extractor": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-partner-member-directory-extractor"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}Restart the client. The extract_directory_companies tool appears.
Prerequisites
Node.js 18 or newer.
An Apify API token from console.apify.com/account/integrations, set as
APIFY_TOKEN. The server lists its tool without a token; a call needs one.
Example prompts
"List every agency in the Clay experts directory with its website and tier."
"Pull 100 Shopify partners that do store migrations, with their rating and location."
"Turn the IAB UK member directory into a list of company domains."
Tool
extract_directory_companies. One tool. Example arguments:
{
"directory_url": "https://www.clay.com/en/experts",
"max_listings": "200"
}Inputs
Every buyer facing input of the actor. Omitted inputs take the actor's own defaults. Numbers and yes or no inputs are sent as text.
Input | Type | Description |
| string | One directory page |
| array | Up to 20 directory pages |
| string | Listings per directory, 1 to 5000. Default 100 |
| string | Shopify and member lists: listing pages to read. Default 10 |
| string | PartnerPage: tags, location, and email. Default true |
| string | Return a repeated company once. Default true |
| string | Optional cost cap for the run |
Pricing
Pay per event on Apify, billed to your Apify account. Prices in USD.
Event | Free plan | Bronze | Silver | Gold |
| $0.004 | $0.0038 | $0.0036 | $0.0034 |
| $0.0015 | $0.0015 | $0.0015 | $0.0015 |
Skipped repeats, and no listings, robots disallowed, blocked, unsupported, and error rows are free.
Your keys
The actor needs no key. Proxy traffic adds nothing to your price: Mamba Labs pays the platform costs of the run.
Full actor documentation
apify.com/mambalabs/partner-member-directory-extractor
License
MIT. See LICENSE.
Available Tools
1 toolextract_directory_companiesExtract companies from a partner or member directoryARead-onlyIdempotent
Turn a vendor partner directory or a trade body member list into one company row per listing. Give directory_url or directory_urls (up to 20). Reads directories built on PartnerPage (for example https://www.clay.com/en/experts or the Zapier partner directory) through PartnerPage's public listing API, the Shopify Partner Directory (any https://www.shopify.com/partners/directory/... page), and member lists that link to one profile page per member. Each row: listing_name, company_domain, website, listing_url, tier, tags, location, rating, review_count, partner_since, and the email and phone the directory itself publishes. robots.txt is checked before every request. A directory that cannot be read (it builds its list in the browser) returns one free row with row_status unsupported. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per company row.
Inputs: max_pages, max_listings, directory_url, dedupe_domains, +3 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of selecting the wrong one. Its description signals a single, well-bounded operation (directory → company rows) with no sibling tools to confuse it with.
The lone name, extract_directory_companies, follows a clear verb_noun_plural pattern in snake_case. There are no competing conventions to clash with, and the name is self-describing.
A one-tool surface is thin even for a single-purpose extractor: there is no companion for checking run status, fetching a prior run's rows, or listing supported directory types, which the description implies are real concerns (run IDs, errors, per-row billing). It is defensible but borderline.
The async lifecycle is a dead end — the description says failed runs return a run ID, yet there is no tool to poll, retry, or retrieve results for that run, and no way to discover which directories are supported. The single extraction call itself is thorough, but agents will hit a wall after submitting work.
Maintenance
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