Skip to main content
Glama
Gotman08

ROMEO MCP

by Gotman08
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to ROMEO MCP

No user-submitted related servers found.

    Related Servers

    • RISBridge MCP

      CodeMonk6
      F
      license
      B
      quality
      D
      maintenance
      Enables users to run Slurm jobs on WashU RIS Compute2 cluster by describing their intent in plain English, without requiring SSH or Slurm knowledge.
      53
      1
      -

    • slurm-mcp

      romelllo
      A
      license
      B
      quality
      C
      maintenance
      Enables users to work on a SLURM HPC cluster over SSH through plain-language requests, covering file browsing and editing, batch job generation and submission, queue monitoring, and log reading to debug failed jobs. It runs with built-in safety guardrails such as fixed commands and configurable path policies for reads and writes.
      27
      MIT

    • mcp-slurm

      tejasvinu
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to manage SLURM HPC clusters via SSH. Supports job submission, resource monitoring, queue management, and file operations.
      8 npm
      4
      -

    • tacc-mcp-bio

      Narasimhan-Lab
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables Claude Code to interact with a TACC or SLURM HPC cluster for bioinformatics pipelines, allowing job management, log reading, file browsing, remote script execution, and job submission through natural language.
      -

    • qzcli

      tianyilt
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables managing OpenI platform resources (login, query nodes, submit jobs, view logs) via natural language in Claude or Codex, following a kubectl/docker-style CLI.
      138
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.1/5.0

    Scored across 47 tools

    Disambiguation3/5

    Descriptions are detailed and most tools target distinct actions, but several clusters overlap: launch_interactive_service vs spawn_remote_workspace, storage_cleanup_helper vs audit_orphan_files, and the multiple job-diagnostic/monitoring tools require careful reading to choose correctly. Boundaries are usually explained, yet the sheer number of near-neighbours invites misselection.

    Naming Consistency3/5

    snake_case is used throughout and the verb_noun pattern is common, but conventions are mixed: some tools carry a romeo_ prefix (romeo_status, romeo_quota) while analogous ones do not (search_docs, list_dir), and many tools are noun-first (job_output, job_efficiency, tool_profile). Readable but not fully predictable.

    Tool Count2/5

    At 47 tools this is far beyond the well-scoped 15-tool range; even for a complex HPC workflow it is heavy and necessitates profile gating via tool_profile (essential/full). Many tools are individually justified, but the volume itself is a significant usability cost.

    Completeness4/5

    The surface covers the full job lifecycle: submission variants (batch, array, resilient, pipeline), monitoring, diagnostics, profiling, file transfer, storage management, interactive services, builds, docs and quotas. Missing pieces such as remote file deletion/move or directory creation are minor and can be worked around via run_login_command.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources