A
licenseB
qualityA
maintenanceEnables AI agents to consume 50+ NVIDIA NIM models including LLMs, image generation, and vision through 10 MCP tools with rich metadata and advanced filtering.
11
189 npm
1
MIT
Run:AI MCP Server
by sejongjeong
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TDQS
A4.4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a distinct responsibility: searching the API spec, executing API calls, resolving names to IDs, and running CLI-only operations. There is no overlap; dependencies like 'search before call' are explicitly documented.
Naming Consistency5/5
All tool names follow a consistent verb_runai_noun pattern with snake_case: search_runai_api_spec, call_runai_api, resolve_runai_names, execute_runai_cli. The naming is uniform and predictable.
Tool Count5/5
With only 4 tools, the server covers an enormous API surface by using a meta-design (search + call + resolve + CLI). Each tool is essential and well-scoped, avoiding redundancy.
Completeness5/5
The toolset provides comprehensive coverage: search_runai_api_spec exposes every API endpoint, call_runai_api executes them, resolve_runai_names bridges user-friendly names to API IDs, and execute_runai_cli handles operations impossible via API (port-forward, exec, logs). No obvious gaps.
Maintenance
ActivityInactive
ResponsivenessNo issues