mcp-meta-brand-presence-mapper
Best-effort resolves a company domain's Facebook Page and fetches follower and post counts, handling login-wall blockages.
Resolves a company domain to its Instagram account and fetches follower and post counts.
Resolves a company domain's Threads account (derived from the Instagram handle) and fetches follower and post counts.
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., "@mcp-meta-brand-presence-mapperGet the Instagram and Threads follower counts for glossyier.com."
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.
Instagram Threads Facebook Brand Presence Mapper MCP Server
MCP server for the Mamba Labs Instagram Threads Facebook Brand Presence Mapper actor on Apify.
Resolve a company domain to its Instagram, Threads and Facebook accounts with follower and post counts.
What it does
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.
Related MCP server: mcp-domain-to-linkedin-url-resolver
Quick start
Add this to your MCP client configuration:
{
"mcpServers": {
"mamba-meta-brand-presence-mapper": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-meta-brand-presence-mapper"],
"env": { "APIFY_TOKEN": "your-apify-token" }
}
}
}Prerequisites
Node.js 18 or newer
An Apify API token from console.apify.com/account/integrations
The actor is pay per event and consumes Apify credits per call. Pricing is on the actor page.
Example prompts
"Get the Instagram and Threads follower counts for glossier.com."
"Has oatly.com adopted Threads yet, and how many posts do they have?"
"Find the Facebook Page for everlane.com."
Tool and inputs
Tool: map_meta_brand_presence
Input | Type | Meaning |
| string | 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 |
| string | Optional. Improves search accuracy and is what the identity gate checks a discovered profile against, so supplying it reduces wrong matches. |
| string | Optional. The Instagram handle with or without the leading @. Supplying it skips Instagram discovery AND gives Threads its handle for free, because Th |
| array | 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 co |
| boolean | 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 need |
| boolean | 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 compatibi |
Reading the output
Every row carries a per platform _status field, and it is the field to read
first. The vocabulary is the same across the whole Mamba Labs social family:
Status | Meaning |
| fetched and parsed, the value is there |
| we looked and there is no such profile |
| the profile exists and the value is not on the wire to us |
| the platform refused us, worth retrying later |
| we found a real profile and it belongs to someone else |
| you did not ask for this platform |
false and null are never interchangeable. false means we looked and the
answer is no. null means we could not look. If you filter for companies with no
presence, filter on false, because null rows are unknown rather than absent.
Full actor documentation
apify.com/mambalabs/meta-brand-presence-mapper
Mamba Labs GTM Suite
Mamba Labs builds a fleet of GTM enrichment actors that share one flat, Clay
ready output convention, so their rows join on company_domain with no cleaning
step. Full fleet: apify.com/mambalabs
License
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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