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cursor-agent-mcp

by jguevara0923
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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

    A3.9/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: environment checks, model listing, worktree management, running tasks (including combined and parallel variants), applying changes, diffing, and job lifecycle management. While some tools like job_status, job_wait, and job_log overlap in domain, their descriptions clearly differentiate status, blocking wait, and log retrieval.

    Naming Consistency3/5

    Naming is mixed: some tools use verb_noun (list_models, bring_changes), others use noun_verb (worktree_create, job_status), and a few are simple verbs (check, run, help, diff). The pattern is not consistent, though the names remain readable and domain-appropriate.

    Tool Count5/5

    16 tools is well-scoped for the purpose of orchestrating cursor-agent tasks in isolated worktrees with job management. Each tool serves a distinct role without redundancy, fitting comfortably within the 3-15 tool range.

    Completeness5/5

    The tool set covers the full lifecycle: environment verification, model selection, worktree creation/listing/removal, task execution (single, combined, parallel), change review (diff), change application (bring_changes), and comprehensive job management (status, wait, log, list, cancel). There are no obvious gaps that would hinder the workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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