VISEON Ask
by viseon.io in Company & people data
VISEON's Schema.org knowledge graph: products, services, people, FAQs and terms, from viseon.io
https://viseon.io/mcp
Last 30 days
- 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
| When | Result | HTTP | Time |
|---|---|---|---|
| 2 h ago | Passed | 200 | 516 ms |
| 11 h ago | Passed | 200 | 459 ms |
| 21 h ago | Passed | 200 | 475 ms |