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Resolve company name, domain, or LinkedIn into one canonical identity with confidence scores.
Resolve company name, domain, or LinkedIn into one canonical identity with confidence scores.
This is a well-structured MCP server with clean code and proper authentication via Apify API tokens. The server acts as a thin wrapper around an Apify actor, with appropriate input validation, error handling, and secure credential management. No critical vulnerabilities were identified. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 7 issues found
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Set these up before or after installing:
Environment variable: APIFY_TOKEN
Add this to your MCP configuration file:
{
"mcpServers": {
"com-mambabuilt-mcp-company-identity-resolver": {
"env": {
"APIFY_TOKEN": "your-apify-token-here"
},
"args": [
"-y",
"@mambalabsdev/mcp-company-identity-resolver"
],
"command": "npx"
}
}
}From the project's GitHub README.
An MCP server that exposes the Mamba Labs Company Identity Resolver as a single tool. Install one package and give your MCP client a way to turn any combination of company name, domain, or LinkedIn URL into one canonical company identity tuple with confidence scores, wrapping the Mamba Labs actor on Apify and returning Clay-ready flat JSON.
This server gives an AI client one tool:
resolve_company_identity: resolve any combination of company name, domain, or LinkedIn URL into the canonical name, primary domain, and LinkedIn company URL, each with a 0-100 confidence score plus an overall score and a match method. It cross-checks the inputs you give it, resolves the ones you do not, and flags conflicts (a domain and a LinkedIn slug that disagree) instead of merging them.All of the work runs on Apify. This package is a thin client that routes the tool call to the actor and hands back the result.
You need Node.js 18 or newer and an Apify account with an API token.
Add this to your Claude Desktop config:
{
"mcpServers": {
"company-identity-resolver": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-company-identity-resolver"],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}
Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. The tool will be available.
resolve_company_identity:
company_name (string): company name, e.g. Stripe. Provide at least one of company_name, domain, or linkedin_url.domain (string): bare company domain, e.g. stripe.com. The strongest canonical key when provided.linkedin_url (string): LinkedIn company URL (https://www.linkedin.com/company/stripe) or bare slug (stripe).skipCache (boolean): force a fresh resolution and ignore the 7 day result cache.The output is one flat row: the echoed inputs, the canonical name, domain, and linkedin_url, the overall confidence_score, the match_method (exact_domain, search_resolved, linkedin_pattern, jsonld, conflict, or unresolved), the per-field domain_confidence, linkedin_confidence, and name_confidence, and a resolved boolean.
For the complete input and output reference, pricing, and run history, see the Company Identity Resolver actor on the Apify Store (canonical immutable Actor ID URL):
https://apify.com/mambalabs/lr8fTRAmZCBZmuwwh
This server is part of the Mamba Labs GTM Suite, a fleet of ten specialized MCP servers for go-to-market signal intelligence, each backed by a dedicated Apify actor.
| Actor | Immutable Actor ID |
|---|---|
| GTM Hiring Signal Scraper | D7O1SA2EqwHGsGr1P |
| GTM Tech Stack Signal Enrichment | qyd7nNyqFPelQViBx |
| GTM Signals Aggregator | xKdRfnfFNkdMpFuNs |
| Job Board Keyword Signal Scanner | 4DvqpvhMR74NLcDDY |
| Domain to LinkedIn URL Resolver | 3HtnSaqPHOg1Qg5gx |
| ICP Fit Scorer | W161DT8W4kW55dMFh |
| Domain Deliverability Checker | 0tVgxI7A6o9jMlxmc |
| Company Firmographic Enricher | YlUtLWjfPpqykmB8g |
| Company Social Presence Mapper | 4k6CCemkgBDz18m2h |
| Company Identity Resolver | lr8fTRAmZCBZmuwwh |
Built by Mamba Labs | npm | Apify Store
MIT
Built by Mamba Labs. https://apify.com/mambalabs
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