mcp server
com.mambabuilt/mcp-company-social-presence-mapper
Map a company domain to its social media URLs and follower counts via Apify.
Description as published by the maintainer. Source
- version 1.0.1
- active
active — Most recent push to the repository was 2026-08-02.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-02 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 6 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Package downloads | 54 downloads | Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. | 2026-07-30 to 2026-08-05 | npm | |
| Latest published version | 1.0.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-22 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-06-22 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Also from mambalabsdev
-
com.mambabuilt/mcp-ai-tooling-detector
— last commit 2026-08-06
Detect whether a company declares, deploys, or charges for AI, with evidence.
-
com.mambabuilt/mcp-company-change-event-feed
— last commit 2026-08-02
Detect company changes across hiring, tech stack, funding, and firmographics. Returns only deltas.
-
com.mambabuilt/mcp-company-firmographic-enricher
— last commit 2026-07-31
Enrich a company domain into firmographics via Apify: employees, industry, HQ, revenue, logo, age.
-
com.mambabuilt/mcp-company-identity-resolver
— last commit 2026-08-02
Resolve company name, domain, or LinkedIn into one canonical identity with confidence scores.
-
com.mambabuilt/mcp-domain-deliverability-checker
— last commit 2026-07-31
Audit a domain email deliverability via Apify: SPF, DKIM, DMARC, MX, blacklist, catch-all, age.
-
com.mambabuilt/mcp-domain-to-linkedin-url-resolver
— last commit 2026-07-28
Resolves a company domain or name to its LinkedIn URL with confidence and firmographics.
-
com.mambabuilt/mcp-funding-press-signal-scanner
— last commit 2026-08-02
Scan news for funding rounds, exec moves, product launches, and acquisitions at any company.
-
com.mambabuilt/mcp-gtm-hiring-signal-scraper
— last commit 2026-07-28
Detects GTM hiring activity from company career pages via Greenhouse, Lever, Ashby. Clay-ready.
-
com.mambabuilt/mcp-gtm-signals-aggregator
— last commit 2026-07-28
Combines hiring and tech-stack signals into one composite GTM score. Clay-ready output.
-
com.mambabuilt/mcp-gtm-suite
— last commit 2026-08-06
11 Mamba Labs account-intelligence MCP tools in one server: identity, signals, ICP. Clay-ready.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab