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VISEON Ask

by viseon.io in Company & people data

MCP serverPassing, checked 2 h ago

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

https://viseon.io/mcp

Last 30 days

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Uptime
100%
Response time
475 ms typical, 475 ms slowest 5%
Last check
2 h ago
Next check
in 3 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "viseon-ask": {
      "type": "http",
      "url": "https://viseon.io/mcp"
    }
  }
}

6 tools

  • get_entity

    Get complete schema.org entity data by URL (its @id), including relationships the graph holds in either direction.

  • 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 desc

  • 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 f

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTime
2 h agoPassed200516 ms
11 h agoPassed200459 ms
21 h agoPassed200475 ms