"Canonical" matching MCP servers:

Verified, long-tail company search: describe what you want, get an LLM-verified company shortlist.

Serves as an MCP server that resolves academic DOIs to canonical identifiers and generates BibTeX records via CrossRef.

Enables resolving academic DOIs to canonical identifiers and generating BibTeX records via CrossRef, and can be integrated into MCP-compliant clients for automated research workflows.

Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.

Resolves patent publication numbers to canonical DOCDB identifiers, providing inventor, publication date, and family ID.

MCP server that exposes the Storm cross-venue prediction-market intelligence API, enabling LLM clients to read canonical events, spreads, venue catalog, and alerts as native tool calls.

Converts clinical blood-test results between conventional and SI units and resolves lab-marker names to canonical analytes.

Enables privacy-aware, deterministic, read-only chat analysis through tools for briefs, aggregate interaction signals, evidence-aware claim audits, and canonical resource discovery.

Enables agents to verify whether citations exist and match canonical records, and whether URLs resolve and contain expected content, with evidence-backed confirmed, contradicted, or unknown verdicts.

Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.

Provides canonical Quran text, translations, and tafsir commentary via MCP for accurate AI citation.

Computes thermophysical fluid properties for ~124 pure fluids from any two independent state variables, returning density, enthalpy, entropy, viscosity, thermal conductivity, specific heat, vapor quality and phase. It also lists the exact canonical fluid names the build recognizes, so agents can query valid states anywhere inside each fluid's equation-of-state range.

Enables searching academic papers, journals, and citations via the Crossref API, and resolving DOIs to canonical metadata with authors, references, and citation graphs.

Enables AI agents to look up approved human genes by official symbol, fuzzy-search symbols, names and aliases, and reverse-map external database identifiers (Entrez, Ensembl, UniProt, OMIM, RefSeq, UCSC) back to canonical gene records with full annotations and cross-references.