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Related Servers

Alternatives to Atlas

No user-submitted related servers found.

    Related Servers

    • F
      license
      C
      quality
      A
      maintenance
      Self-hosted, source-available AI workflow automation platform. Build multi-agent, RAG, and tool-using pipelines on a visual canvas and publish any workflow as an MCP server (stdio/SSE/Streamable HTTP). Also an MCP client via the agent node.
      2
      1,328
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables autonomous multi-agent orchestration using directed acyclic graph workflows to interact with external developer infrastructure such as Git, Postgres, and Docker through safety-gated MCP servers.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables enterprise multi-agent decision workflows that expose 8+ MCP tools such as SQL query, web search, Python sandbox, RAG, file access, data cleaning, chart generation, and HTTP calls, orchestrated with LangGraph, streaming output, and human-in-the-loop approvals.
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      A durable multi-agent orchestrator for software development with explicit run graphs, checkpoint/resume capabilities, and project memory exposed through MCP resources and tools. It enables coordinated agent workflows for coding, review, repair, CI, and approval with SQLite-backed memory retrieval and pluggable research backends.
      10
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    TDQS

    A3.8/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool has a clear, distinct purpose in the workflow lifecycle: get run status, resume interrupted runs, validate/save workflows, run/list/cancel runs, list workflows. No two tools are easily confused. The only slight overlap is between atlas_run_workflow and atlas_save_workflow regarding persistence semantics, but they are clearly differentiated.

    Naming Consistency5/5

    All tool names follow a consistent 'atlas_verb_noun' pattern (get_run, resume_run, validate_workflow, save_workflow, run_workflow, list_runs, list_workflows, cancel_run). This is highly predictable and readable.

    Tool Count5/5

    8 tools is well-scoped for a workflow orchestration server. Each tool fills a specific role in the workflow lifecycle (validation, persistence, execution, monitoring, cancellation), and there are no redundant tools.

    Completeness4/5

    The surface covers the full workflow lifecycle: validation, saving, running, listing runs/workflows, getting run details, resuming, and canceling. One notable gap is the absence of a delete/remove operation for workflows, which would be expected for full lifecycle management. However, core operations are complete and agents can work around this.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues