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"Canonical" matching MCP servers:

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    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.
    1
    209
    MIT
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    Grounds gene-nomenclature work in the HUGO Gene Nomenclature Committee (HGNC) dataset, enabling resolution of gene symbols and IDs to canonical HGNC identifiers, plus cross-references and batch operations.
    9
    MIT
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    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.
    7
    25
    MIT
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    Google Search Console for agents: search analytics by query, page, country, and device, plus a striking-distance report for queries ranking just off page one. Also lists, submits, and removes sitemaps and inspects URLs for index status, last crawl, and canonical.
    7
    87
    MIT
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    Agent-friendly semantic classification of all subgraphs on The Graph Network. Pre-computed index of 15,500+ subgraphs with domain classification, protocol type detection, schema fingerprinting, canonical entity mapping, and composite reliability scoring.
    4
    370
    MIT
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    Hashlock Markets (hashlock.markets) — sealed-bid intent-based crypto trading protocol with HTLC atomic settlement. AI agents can create, commit, and validate trading intents on Ethereum, Bitcoin, and Sui. Canonical npm package: @hashlock-tech/mcp. Not the cryptographic hashlock primitive, not Hashlock Pty Ltd (hashlock.com).
    5
    21
    MIT
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    Exposes the canonical WordCast knowledge surface — voice and TTS workflows, blog topics, FAQ, official links — to MCP-compatible AI clients. Read-only, no API keys required.
    2
    MIT
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    Scans MCP servers for prompt-injection, tool-poisoning, and SSRF vulnerabilities using 30+ canonical rules across 5 severity tiers, with optional signed safety reports for procurement.
    5
    MIT
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    Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.
    19
    1
    MIT
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    Enables LLMs to perform structured, verifiable knowledge operations using the Canonical Knowledge Structure (CKS) ecosystem, including validation, querying, comparison, evolution, and derivation of knowledge.
    24
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    MIT
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    Exposes the canonical 17-0 knowledge surface including game rules, roster constraints, and entry points for the NFL roster strategy game to MCP-compatible AI clients.
    2
    MIT
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    Enables monitoring Italian public funding opportunities, normalizing them into a canonical model, and ranking them against a company profile with a two-stage matcher.
    6
    2
    MIT