skosmos-mcp
Related Servers
Alternatives to skosmos-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to search, explore, and interact with ontologies and semantic resources on AgroPortal via the OntoPortal ecosystem.-
- AlicenseAqualityCmaintenanceMCP server exposing SPARQL query functionalities for LLMs, enabling query execution, validation, and graph exploration across SPARQL endpoints.7MIT
- AlicenseNot gradedqualityAmaintenanceMCP server enabling AI assistants to explore schema.org types, generate JSON-LD examples, validate structured data, and navigate the complete ontology with fuzzy matching and caching.21 npm21MIT
- AlicenseBqualityCmaintenanceMCP (Model Context Protocol) Server for skill4agent - Search, view, and install AI skills in AI conversations.310 npm4MIT
- AlicenseNot gradedqualityDmaintenanceBridges Web of Things (WoT) devices to AI assistants via MCP, enabling discovery, monitoring, and control of IoT devices through natural language.9GPL 3.0
- AlicenseAqualityDmaintenanceAn MCP server that enables AI-powered exploration of RDF data and SPARQL querying via RDF4J. It provides tools for executing queries, searching knowledge graph resources, and retrieving schema summaries.131MIT
TDQS
Scored across 13 tools
Most tools have distinct purposes, but 'get_concept_label' and 'labels' overlap significantly, both retrieving labels for a concept URI. Additionally, 'broader_concepts' and 'traverse_concepts' can be confused since traverse supports broader traversal. This creates some ambiguity for an agent.
Tool names mostly follow a consistent verb_noun pattern (e.g., list_vocabularies, get_concept, resolve_label). However, 'autocomplete' is a single word and 'concept_path' is noun_noun, breaking the pattern. The overall structure is clear despite these minor deviations.
With 13 tools, the server is well-scoped for SKOS vocabulary browsing. It covers listing, searching, detail retrieval, and hierarchy traversal without being overwhelming. The count is appropriate for its purpose.
The tool surface covers core SKOS operations: vocabulary listing, concept details, labels, hierarchy traversal (broader, narrower, related), and search (autocomplete, full-text, label resolution). Missing are concept creation/modification (likely out of scope) and some non-core features like concept collections, but the browsing workflow is complete.