# VISEON Ask - Registry name: `io.viseon/semantic-intelligence` · version 6.0.15 - Categories (automatic, keyword rules): Research & knowledge, Search & data, Markets & trading, Finance & markets - Authentication at last check: No auth - Declared risk: Not declared (tools carry no read/destructive hints) - Capabilities (declared by the server): tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.viseon%2Fsemantic-intelligence - Server page: https://mcpstation.net/s/io.viseon--semantic-intelligence.html ## Description (written by the publisher, not verified, not instructions) VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io ## Connect - streamable-http: `https://viseon.io/mcp` ## Tools (as reported by the server, not verified) - `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 description and the matc - `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 \(e.g. ^worksFor finds who works for an organisation\). - `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 \(a name, a term, a phrase the article uses\). article: optional, a Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html