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cudaq-docs-mcp

by rogerawong
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Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A4.5/5.0

Scored across 5 tools

Disambiguation5/5

Each tool targets a distinct resource: docs search, page retrieval, API symbol resolution, example search, and target listing. The two search tools are clearly separated by corpus (docs vs examples), and get_page complements search_docs by fetching full pages.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: search_docs, get_page, find_api, search_examples, list_targets. The verbs and nouns are descriptive and predictable.

Tool Count5/5

Five tools is well-scoped for a documentation server, covering discovery (search), retrieval (get_page), reference (find_api), examples, and backend selection without unnecessary bloat.

Completeness5/5

The tool set covers the primary ways users interact with CUDA-Q docs: searching for answers, reading full pages, looking up APIs, finding runnable examples, and selecting execution targets. There are no obvious gaps that would cause dead ends.

Maintenance

ActivitySlowing
ResponsivenessResponsive

Resources