mcp-meta-brand-presence-mapper
Instagram Threads Facebook Brand Presence Mapper MCP Server
MCP-сервер для актора Mamba Labs Instagram Threads Facebook Brand Presence Mapper на Apify.
Сопоставьте домен компании с её аккаунтами Instagram, Threads и Facebook, включая количество подписчиков и постов.
Что делает
Сопоставляет домен компании с её аккаунтами Instagram, Threads и Facebook, включая количество подписчиков и постов, в виде одной плоской строки, готовой для Clay. Хэндл Threads выводится из найденного хэндла Instagram без дополнительных затрат на поиск. Количество подписчиков и постов в Instagram и Threads округляется Meta, и строка содержит как округлённое целое число, так и собственную строку отображения платформы. Facebook — по возможности: Meta показывает стену входа для анонимных клиентов, поэтому blocked — это нормальный ответ там, а не ноль. Только чтение; требуется APIFY_TOKEN и расходует кредиты Apify за каждый вызов.
Related MCP server: mcp-domain-to-linkedin-url-resolver
Быстрый старт
Добавьте это в конфигурацию вашего MCP-клиента:
{
"mcpServers": {
"mamba-meta-brand-presence-mapper": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-meta-brand-presence-mapper"],
"env": { "APIFY_TOKEN": "your-apify-token" }
}
}
}Предварительные требования
Node.js 18 или новее
Токен API Apify из console.apify.com/account/integrations
Актор оплачивается за событие и расходует кредиты Apify за каждый вызов. Цены указаны на странице актора.
Примеры запросов
"Получите количество подписчиков Instagram и Threads для glossier.com."
"Принял ли oatly.com Threads, и сколько у них постов?"
"Найдите страницу Facebook для everlane.com."
Инструмент и входные данные
Инструмент: map_meta_brand_presence
Входные данные | Тип | Значение |
| string | Базовый домен компании, например shopify.com. Укажите его или хэндл. С доменом актор выполняет полный поиск; с хэндлом он переходит сразу к |
| string | Необязательно. Повышает точность поиска и используется для проверки найденного профиля на соответствие, поэтому его указание уменьшает количество ошибочных совпадений. |
| string | Необязательно. Хэндл Instagram с ведущим @ или без него. Его указание пропускает поиск Instagram и бесплатно даёт хэндл для Threads, потому что Th |
| array | Какие из трёх поверхностей Meta нужно сопоставить. По умолчанию все три. Отказ от Facebook — распространённый выбор: это наименее надёжная из трёх, и она co |
| boolean | Когда "true" (по умолчанию) страница профиля загружается и извлекаются количества. Установите "false", чтобы разрешить только URL профиля, что дешевле и не требует |
| boolean | Когда "false" (по умолчанию) успешный поиск кэшируется на семь дней и используется повторно. Установите "true", чтобы принудительно выполнить новый запрос. Отправляется как строка для совместимости с Clay |
Чтение результата
Каждая строка содержит поле _status для каждой платформы, и это поле нужно читать первым. Словарь одинаков во всей социальной семье Mamba Labs:
Статус | Значение |
| получено и обработано, значение есть |
| мы искали, и такого профиля нет |
| профиль существует, но значение не передаётся нам |
| платформа отказала нам, стоит повторить позже |
| мы нашли реальный профиль, и он принадлежит кому-то другому |
| вы не запрашивали эту платформу |
false и null никогда не взаимозаменяемы. false означает, что мы искали и ответ отрицательный. null означает, что мы не смогли искать. Если вы фильтруете компании без присутствия, фильтруйте по false, потому что строки с null — это неизвестность, а не отсутствие.
Полная документация актора
apify.com/mambalabs/meta-brand-presence-mapper
Mamba Labs GTM Suite
Mamba Labs создаёт парк акторов для обогащения GTM, которые используют единую плоскую конвенцию вывода, готовую для Clay, поэтому их строки объединяются по company_domain без этапа очистки. Полный парк: apify.com/mambalabs
Лицензия
MIT
Available Tools
1 toolmap_meta_brand_presenceMap Instagram Threads and Facebook PresenceARead-onlyIdempotent
Resolve a company domain to its Instagram, Threads and Facebook accounts with follower and post counts, as one flat Clay ready row. The Threads handle is derived from the resolved Instagram handle at no extra discovery cost. Instagram and Threads counts are rounded by Meta and the row carries both the rounded integer and the platform's own display string. Facebook is best effort: Meta serves a login wall to anonymous clients, so blocked is a normal answer there and never a zero. Read only; requires an APIFY_TOKEN and consumes Apify credits per call.
| Name | Required | Description | Default |
|---|---|---|---|
| handle | No | Optional. The Instagram handle with or without the leading @. Supplying it skips Instagram discovery AND gives Threads its handle for free, because Threads handles are Instagram handles (5 of 5 measured). | |
| platforms | No | Which of the three Meta surfaces to map. Default is all three. Dropping Facebook is the common choice: it is the least reliable of the three and it costs a fetch to find that out. | |
| skipCache | No | When "false" (default) a successful lookup is cached for seven days and reused. Set "true" to force a fresh fetch. Sent as a string for Clay compatibility. | |
| company_name | No | Optional. Improves search accuracy and is what the identity gate checks a discovered profile against, so supplying it reduces wrong matches. | |
| company_domain | No | Bare company domain, for example shopify.com. Supply this or a handle. With a domain the actor runs full discovery; with a handle it skips straight to the fetch. | |
| includeFollowerCounts | No | When "true" (default) the profile page is fetched and the counts are extracted. Set "false" to resolve the profile URL only, which is cheaper and needs no proxy. Sent as a string for Clay compatibility. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the readOnly/idempotent annotations, the description discloses several non-obvious behaviors: Threads handle is derived from Instagram at no extra cost, counts are rounded by Meta and include both integer and display string, Facebook is best-effort with login walls making 'blocked' a normal response, and each call consumes Apify credits. These are significant operational details an agent needs.
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 description is dense yet well-organized: the main purpose is stated first, followed by platform-specific caveats, then parameter behavior and operational constraints. Every sentence adds information and none are redundant with the schema or annotations. It is appropriately sized for the tool's complexity.
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?
Despite having no output schema, the description explains the output format (flat Clay row, rounded counts, display strings), failure modes (Facebook 'blocked'), and prerequisites (APIFY_TOKEN, credits). It also covers pricing implications and caching semantics, making it fully self-sufficient for an agent to call correctly.
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?
Although schema coverage is 100%, the description adds valuable context: the handle is used for both Instagram and Threads ('5 of 5 measured'), platforms can be pruned to reduce cost, cache duration is seven days, and includeFollowerCounts trades completeness for speed and proxy freedom. This goes well beyond the schema's property descriptions.
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: "Resolve a company domain to its Instagram, Threads and Facebook accounts with follower and post counts, as one flat Clay ready row." It clearly states what the tool produces and differentiates its behavior for each platform, leaving no ambiguity about its function.
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?
Though there are no sibling tools, the description provides detailed guidance on when to use specific options: supplying a handle skips discovery, dropping Facebook is common due to unreliability, includeFollowerCounts=false is cheaper and needs no proxy, and skipCache forces fresh fetches. This qualifies as clear usage context and decision support.
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
map_meta_brand_presence
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The sole tool has a clear, singular purpose of mapping a domain to Meta platform accounts.
The tool name follows a consistent verb_noun pattern ('map_meta_brand_presence'), which is descriptive and predictable, though there is only one example to assess.
A single tool feels thin for a server, even if the task is narrowly focused. The server could benefit from splitting functionality (e.g., separate tools for Instagram, Threads, Facebook) or adding related capabilities, but the count is not unreasonable for a dedicated mapper.
The tool covers the core workflow of resolving a domain to social accounts and retrieving follower/post counts, with a noted limitation on Facebook due to login walls. However, it handles this limitation explicitly, so the surface is functionally complete for its stated purpose, though slightly constrained by external factors.
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