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VISEON for Web

io.viseon/semantic-intelligence · v6.0.16

VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io

Connect Remote server

Terminal
claude mcp add --transport http semantic-intelligence https://viseon.io/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "semantic-intelligence": {
      "url": "https://viseon.io/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "semantic-intelligence": {
      "type": "http",
      "url": "https://viseon.io/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://viseon.io/mcp

Tools 7 found in our last check

  • get_entity

    Get complete schema.org entity data by URL (its @id), including relationships the graph holds in either direction. Use this before selecting an entity's image or other media: retain the canonical subject ID and use only assets explicitly linked by the retrieved record. A matchin…

  • query_relationships

    Find entities connected to a subject: one row per property value, with object_type 'uri' for links to other entities and 'literal' for values. Optionally filter by predicate.

  • find_by_type

    Find all entities of a specific schema.org type (exact type name, for example Service, Person, DefinedTerm).

  • search_content

    Substring search across the text of every entity; returns up to 20 entity URLs.

  • fuzzy_find_and_traverse

    Find and rank schema.org entities from natural language, tolerating typos and alternative names. Returns bounded entity context with relationship IDs; use get_entity for full detail. The optional detail argument is summary (for each hit: id, type, name, url, the start of the des…

  • traverse_path

    Walk the knowledge graph from one entity in a single call. start: an entity @id or a name (resolved like fuzzy_find_and_traverse). path: one entry per hop, each a predicate or a list of predicates; prefix a predicate with ^ to follow it backwards (e.g. ^worksFor finds who works…

  • get_citable_passages

    Return passages of the VISEON articles word for word, each with a link to the passage itself, the article it is part of and how much of the query it holds, so an answer can quote and cite them. query: the distinctive words asked about (a name, a term, a phrase the article uses).…

Details

Endpointhttps://viseon.io/mcp (Streamable HTTP)
First published7 Nov 2026
Last updated7 Nov 2026
Registry nameio.viseon/semantic-intelligence

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