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Resolve ambiguous names or tickers into verified canonical entity IDs.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Entity-ID Resolver" MCP server from askskill: Run: claude mcp add 'xyz-entityresolver-resolver' -- npx -y entityresolver-mcp
Researchers can resolve company names, tickers, or organization aliases into authoritative IDs before retrieval and cross-checking, reducing confusion from name ambiguity.
Data analysts or developers can normalize inconsistent names and tickers into SEC CIK, GLEIF LEI, Wikidata, or CoinGecko IDs for downstream joins and analysis.
It resolves ambiguous names or tickers into verified canonical entity IDs. The provided description mentions support for SEC CIK, GLEIF LEI, Wikidata, and CoinGecko.
Based on the provided information, it handles ambiguous inputs such as names and tickers, then outputs authoritative canonical IDs. The explicitly listed ID types are SEC CIK, GLEIF LEI, Wikidata, and CoinGecko.
No installation steps, runtime details, or key requirements were provided. For implementation specifics, see the source repository.
Resolve company names, domains, or LinkedIn URLs into a canonical identity.
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Resolve company names, domains, or LinkedIn URLs into canonical identities.
Access GLEIF data to query entities, LEI records, and relationships.
Verify business entities across 34 countries using multiple registry data sources.
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