Skip to main content
Glama

Related Servers

Alternatives to project-hub-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
      60
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server that enables AI coding agents to communicate, share state, and coordinate work in real time via MCP tools or REST API.
      123 npm
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that allows a planning agent to delegate tasks to executor agents (e.g., Claude Code, Aider) with bi-directional communication and real-time log streaming.
      19 npm
      15
      AGPL 3.0
    • F
      license
      B
      quality
      C
      maintenance
      MCP server that gives AI coding assistants persistent memory, structural code graph analysis, and safe multi-agent coordination, enabling them to answer architectural questions, track decisions across sessions, and coordinate safely in multi-agent workflows.
      39
      4
      -

    TDQS

    A3.8/5.0

    Scored across 7 tools

    Disambiguation5/5

    All 7 tools have clearly distinct purposes: creating vs running pipelines, running a single agent, checking run status, checking usage, and listing agents/pipelines. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_pipeline, get_run_status, list_agents). No deviations or mixed conventions.

    Tool Count5/5

    7 tools is appropriate for the server's purpose of managing pipeline runs and agents. Each tool serves a distinct function without excess or deficiency.

    Completeness4/5

    The tool set covers the core lifecycle: create, run, monitor (status), list, and usage check. Minor gaps exist, such as missing update/delete for pipelines or agent management, but the surface is sufficient for common workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing