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Related Servers

Alternatives to agent-team-lab

No user-submitted related servers found.

    Related Servers

    • A
      license
      C
      quality
      C
      maintenance
      Enables coding agents to coordinate around shared project context, durable tasks, messages, artifacts, multimodal analysis requests, design-system checks, change proposals, and review requests through a compact MCP interface. It persists state locally in JSON and exposes tools, resources, and prompts for agent-to-agent workflows.
      9
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains. All discussions and decisions are stored in the database so agents get back up to speed immediately when re-loaded.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables collaborative software development through a team of specialized AI agents (Architect, Developer, Reviewer, Tester) communicating via the Model Context Protocol, with tools for file management, task tracking, and code review.
      -
    • A
      license
      B
      quality
      F
      maintenance
      Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.
      14
      4 npm
      14
      MIT

    TDQS

    B3.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: listing expert roles, consulting a single expert, and running the full team workflow. There is no ambiguity or overlap between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case: list_experts, ask_expert, run_team. The naming is uniform and predictable.

    Tool Count5/5

    Three tools is a well-scoped set for an agent team lab. Each tool addresses a core interaction—discover, consult, execute—without unnecessary bloat.

    Completeness4/5

    The core workflows are covered: listing experts, asking one expert, and running the full team. Minor gaps exist such as no explicit status/result polling or workflow cancellation, but the surface is reasonably complete for its scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues