A
licenseB
qualityD
maintenanceProvides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.
3
MIT
agent-ops-mcp
by yulechkamsk1
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TDQS
A3.5/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct resource and action: tasks (list/get/create), docs (search/get), and a review check. There is no overlap or ambiguity between them. An agent can easily select the right tool for each intent.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun pattern (list_tasks, get_doc, review_check). The verbs are clear and the style is uniform throughout. This makes the API predictable and easy to extend.
Tool Count5/5
With only 6 tools, the surface is well-scoped and focused. Each tool earns its place by covering a necessary operation without bloat. This is an ideal size for an agent helper that combines tasks, docs, and quality checks.
Completeness3/5
Task management is incomplete: you can create and list tasks but cannot update, delete, or change status, which are common operations. Docs are read-only (search/get), which is acceptable for a reference. Adding update/delete for tasks would round out the lifecycle.
Maintenance
ActivityMaintained
ResponsivenessNo issues