@mambalabsdev/mcp-link-in-bio-newsletter-checker
OfficialSupports Apple Podcasts show URLs to read creator bio links and extract newsletter, offerings, and contact details.
Reads Instagram profiles to extract newsletter, offerings, and contact details from the creator's bio links.
Can start directly from Linktree pages to extract newsletter, offerings, and contact details, including rendering otherwise unreadable pages.
Reads Pinterest profiles to extract newsletter, offerings, and contact details from creator bio links.
Reads Threads profiles to extract newsletter, offerings, and contact details from creator bio links.
Reads TikTok profiles to extract newsletter, offerings, and contact details from creator bio links.
Reads Twitch profiles to extract newsletter, offerings, and contact details from creator bio links.
Renders Typeform-based link-in-bio shells that would otherwise be unreadable, allowing newsletter and contact details to be extracted.
Reads YouTube channel profiles to extract newsletter, offerings, and contact details from creator bio links.
Link in Bio Scraper and Newsletter Detector MCP Server
MCP server for the Mamba Labs Link in Bio Scraper and Newsletter Detector actor on Apify.
Creator handles or link in bio URLs in, a newsletter verdict and contact details out.
Install
npx -y @mambalabsdev/mcp-link-in-bio-newsletter-checkerClaude Desktop
{
"mcpServers": {
"mamba-link-in-bio-newsletter-checker": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-link-in-bio-newsletter-checker"],
"env": { "APIFY_TOKEN": "your-apify-token" }
}
}
}Get an Apify token at console.apify.com/account/integrations.
Related MCP server: tweetsave-mcp
Tool
check_link_in_bio_and_newsletter
Follow a creator bio link and report the newsletter, what they sell, and the contact emails.
Input | Type | Required | Notes |
| array | no | One per line. A profile URL on any supported platform (https://www.tiktok.com/@name, https://www.instagram.com/name/, https://www.youtube.com/@name, a Pinterest, Twitch, or Threads profile, an Apple Podcasts show. |
| array | no | Skip the profile read and start from these pages directly (a Linktree, Stan Store, linkin.bio page, or the creator's own site). One per line. When one input item carries both a handle and bio links, the links are. |
| array | no | Which platforms a bare @handle is looked up on. A full profile URL carries its own platform and ignores this. This actor does not search; pass the creators you want read. Supported: TikTok, Instagram, YouTube,. |
| boolean | no | Off by default. Some link-in-bio pages (Stan Store, linkin.bio, Typeform shells) return an empty shell to a plain fetch and are classified unknown_fetch_failed. Turn this on to render them in a headless browser.. Default |
| boolean | no | Off by default. When on, a model reads the rule classifier's evidence and rules on each row. Runs only with your own key in |
| string | no | Which API the key belongs to. Default |
| string | no | Your own model API key. Used only when |
| boolean | no | Off by default. For creators with their own website (not a link-in-bio page), reads the home, contact, and about pages and the footer for an email and records where it was found. Charged per creator scanned (event. Default |
| boolean | no | Matches the domain of a manager or business email against the bundled talent agency list and fills agency_name, agency_domain, and agency_match_method. Charged per matched row (event agency-match). Default |
| boolean | no | On by default. A profile fetch that comes back as a bot detection page is retried once over the residential proxy. On Instagram the bio, bio link, and following are read from the profile page over residential when. Default |
| integer | no | Rows fetched at once. Leave empty for the measured per platform default; the measurement is in the README. Higher is faster and, above the measured point, loses rows. |
Nothing is required. Link in Bio Scraper and Newsletter Detector answers a run with no usable input with a row carrying row_status and error_reason rather than failing, and the tool mirrors that.
Pricing
Link in Bio Scraper and Newsletter Detector is pay per event on Apify. Every price below is flat across the FREE, BRONZE, SILVER, and GOLD tiers.
Event | Charged for | Price | Fires when |
| Actor start | $0.002 | Once per run, on start. Covers the run overhead. |
| Links checked | $0.008 | Once per creator whose bio link or link-in-bio page was fetched and classified. A creator with no bio link returns newsletter_status none from the bio alone and does not charge this event. |
| Browser render | $0.004 | Once per page rendered in the headless browser because the plain fetch did not return readable content (Stan Store, linkin.bio, Typeform shells) and the rendered page came back readable: 120 characters of visible text or 3 links off the page's host, and no block page. A render that returns the same empty shell is not charged, and a charged render always reaches the classifier. Only when the option is on. Priced to cover the browser compute. |
| Website scan | $0.005 | Once per creator whose own website (not a link-in-bio page) was scanned for an email on the home, contact, about, and footer. Only when the add-on is on. |
| Agency match | $0.003 | Once per creator row where a manager or agency email domain was matched against the bundled agency list and an agency name came back. |
| Instagram bio fetch | $0.01 | Once per Instagram profile row when the bio, bio link, and following were not on the embed widget or the datacenter API and the profile page was read over the residential proxy and came back readable. Only when escalate_on_block is on. Never on the embed or datacenter reads, never on another platform, never on a blocked page, and never on an error row. |
Reading the output
Every row carries row_status and error_reason. A creator the actor could not read comes back as a row saying why, not as a gap in the list, so an absence is readable rather than inferred. Filter on row_status before loading a table.
Actor
Actor ID OorucdheTIgu7RFzK. The wrapper calls the actor by that immutable ID rather than by its Store slug, so a Store rename never breaks it.
Suite
Actor | Actor ID | MCP server |
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Built by Mamba Labs.
Available Tools
1 toolcheck_link_in_bio_and_newsletterCheck a Link in Bio Page for a NewsletterARead-onlyIdempotent
Follows the link in bio page behind a creator handle, or a link in bio URL you already hold, and reports whether the creator runs a newsletter, which email platform hosts it, and the page URL that proves it. Also returns the link in bio host, the creator own website resolved through any redirect, every outbound link found, the public business email, a manager or booking email with the page it came from, a matched talent agency name and domain, and what the creator sells: course, coaching, digital product, merch, membership, brand deals, and discount codes. Every row carries newsletter_check_method, row_status, and error_reason, so a no is told apart from an unknown. Charges $0.002 per run plus $0.008 per creator checked, and on top of that $0.004 per headless browser render, $0.005 per website email scan, $0.003 per agency match, and $0.01 per Instagram bio fetch, each only when that step runs. The AI check uses your own Anthropic or OpenAI key and is billed by them, not here. Requires an APIFY_TOKEN and consumes Apify credits. Read only.
| Name | Required | Description | Default |
|---|---|---|---|
| handles | No | One per line. A profile URL on any supported platform (https://www.tiktok.com/@name, https://www.instagram.com/name/, https://www.youtube.com/@name, a Pinterest, Twitch, or Threads profile, an Apple Podcasts show page, or a Spotify show), or platform:@handle (tiktok:@name). A bare @handle needs `platforms` and is looked up on each listed platform. One entry is a single run; a list is a batch. Duplicates are removed before any fetch. | |
| ai_check | No | Off by default. When on, a model reads the rule classifier's evidence and rules on each row. Runs only with your own key in `ai_api_key`; the actor never uses a Mamba Labs key and never logs yours. Default: false. | |
| bio_links | No | Skip the profile read and start from these pages directly (a Linktree, Stan Store, linkin.bio page, or the creator's own site). One per line. When one input item carries both a handle and bio links, the links are read as that creator's links and the actor returns one row for that creator, not one row per link; to get one row per link, pass the links in bio_links alone. | |
| platforms | No | Which platforms a bare @handle is looked up on. A full profile URL carries its own platform and ignores this. This actor does not search; pass the creators you want read. Supported: TikTok, Instagram, YouTube, Pinterest, Twitch, Threads, and podcasts. Not X, not Facebook pages, not LinkedIn. | |
| ai_api_key | No | Your own model API key. Used only when `ai_check` is on. Never stored, logged, or written to a row. | |
| batch_size | No | Rows fetched at once. Leave empty for the measured per platform default; the measurement is in the README. Higher is faster and, above the measured point, loses rows. | |
| ai_provider | No | Which API the key belongs to. Default: "anthropic". | |
| match_agencies | No | Matches the domain of a manager or business email against the bundled talent agency list and fills agency_name, agency_domain, and agency_match_method. Charged per matched row (event agency-match). Default: true. | |
| escalate_on_block | No | On by default. A profile fetch that comes back as a bot detection page is retried once over the residential proxy. On Instagram the bio, bio link, and following are read from the profile page over residential when the embed and the datacenter API did not carry them, and a page that comes back readable charges instagram-bio-fetch ($0.010). Uncheck it to never pay that event: a blocked profile then returns a labeled error row, and Instagram rows keep an empty bio and bio link on about half of the reads. Default: true. | |
| scan_website_for_email | No | Off by default. For creators with their own website (not a link-in-bio page), reads the home, contact, and about pages and the footer for an email and records where it was found. Charged per creator scanned (event website-scan). Default: false. | |
| render_unreadable_pages | No | Off by default. Some link-in-bio pages (Stan Store, linkin.bio, Typeform shells) return an empty shell to a plain fetch and are classified unknown_fetch_failed. Turn this on to render them in a headless browser. Charged per page rendered (event browser-render) to cover the browser compute. Default: false. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description goes far beyond the readOnlyHint annotation by detailing exact pricing per step, the AI key being user-provided and never logged, and the row-level error fields. It also explicitly states 'Read only,' reinforcing the annotation, and discloses that the tool requires an APIFY_TOKEN and consumes credits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The purpose is front-loaded in the first sentence, but the description is long with detailed pricing and output lists. While every detail is arguably useful for an agent, the length pushes the limit of conciseness; it could have been compressed without losing essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description takes on the burden of explaining returns, and it delivers a thorough list of fields including error-handling details like newsletter_check_method, row_status, and error_reason. It also covers constraints like the APIFY_TOKEN requirement and the cost model, making it complete for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers 100% of parameter descriptions, so the baseline of 3 applies. The tool description does not add extra parameter semantics; it focuses on overall behavior and outputs, which are already well documented in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource: it 'follows the link in bio page' and 'reports whether the creator runs a newsletter.' It then enumerates a comprehensive set of additional outputs, making its purpose unmistakable even without sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the trigger clearly: you supply a creator handle or a link in bio URL, and the tool reads from there. It does not explicitly state when not to use it, but it notes the tool is read-only and does not search, which implies the user must already have targets. There are no sibling tools to contrast against.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
check_link_in_bio_and_newsletter
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusing tools with overlapping purposes. The tool's name and description unambiguously define its single action.
The tool name 'check_link_in_bio_and_newsletter' is a clear verb-object structure, consistent with the server's purpose. With a single tool, there is no naming inconsistency.
A single tool is on the thin end of the typical range. While the server has a narrow focus, the tool bundles many sub-tasks (email extraction, agency matching, product detection) that could reasonably be separate tools, making the count feel slightly undersized.
The tool covers its stated domain thoroughly, returning newsletter status, emails, agency info, and product data. However, it lacks granular operations—an agent cannot run only a newsletter check or only an email scan without triggering the full workflow, which is a minor gap in the tool surface.
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