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Glama

Related Servers

Alternatives to AI Team OS

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Transforms Claude into an autonomous development team with architect, agent, and QA roles, enabling automated sprint execution, task management, and continuous learning.
      5 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Transforms Claude Code into an autonomous operator that decomposes goals, spawns worker sessions, manages persistent memory, enforces guardrails, and learns from human review.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables an autonomous build loop where Jev makes typed routing and completion decisions while Claude Code writes code, runs checks, and requires independent review before declaring tasks done.
      4
      MIT

    TDQS

    B3.3/5.0

    Scored across 118 tools

    Disambiguation2/5

    The toolset has several overlapping clusters: task_run/task_create/task_create_batch, meeting_create/debate_start/debate_code_review, ecosystem_scan/ecosystem_scan_periodic/ecosystem_index_update/ecosystem_refresh, and multiple summary/search variants. Detailed descriptions help in places, but many boundaries are unclear and legacy/frozen tools remain in the surface.

    Naming Consistency3/5

    Most names are snake_case and grouped by domain prefix, but conventions are mixed: some use noun_verb (task_create, meeting_read_messages), others use verb_noun (find_skill, verify_completion, dismiss_project_registration). The result is readable but not a single predictable pattern.

    Tool Count1/5

    With 118 tools, the surface is far beyond a well-scoped MCP set and contains many legacy, frozen, redundant, or narrowly specialized operations. The count strongly increases selection burden and maintenance risk.

    Completeness4/5

    The server covers a very broad OS domain: projects, teams, agents, tasks, meetings, memory, channels, reports, briefings, workflows, ecosystem tracking, and usage reporting. Some gaps remain, such as no obvious task deletion or full team CRUD, but core workflows are well represented.

    Maintenance

    ActivitySlowing
    ResponsivenessSlow