M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionCLIO SlurmMCP server for Slurm workload management and HPC job schedulingBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS64 / 100 · C75 / 100 · B
Reliability10 / 2010 / 20
Security and permissions14 / 2016 / 20
Maintenance14 / 2018 / 20
Documentation12 / 2017 / 20
Setup experience14 / 2014 / 20
Best for
  • Scientific computing users who need Slurm cluster management.
  • AI agent developers who want to automate HPC job lifecycles.
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Systems that do not use Slurm as their scheduler (e.g., PBS, LSF).
  • Users who require a graphical interface or interactive terminal sessions.
  • Users who prefer manually scripted Slurm jobs over AI-driven interactions.
  • Users needing to write to upstream databases (read-only)
  • Users requiring direct access to closed datasets (e.g., COSMIC is not directly integrated)
  • Users expecting all advanced features without API keys
Required permissions
  • Requires access to Slurm commands (e.g., `sbatch`, `squeue`, `scontrol`, `scancel`, `sinfo`).
  • Depends on execution environment: listing jobs typically requires only user-level permissions; canceling or submitting jobs may require additional authorization.
  • May require access to the filesystem where job output files are stored.
  • Requires internet access to query public biomedical APIs
  • Optional API keys (NCBI, Semantic Scholar, OpenFDA, etc.) to improve rate limits or unlock features
  • Local read/write access for skills, cache, and local study data (e.g., `~/.local/share/biomcp`)
Risks and side effects
  • The `slurm_cancel` tool is destructive—it cancels jobs, potentially losing progress. The built-in `confirm_job_id` mechanism helps prevent accidental cancellation, but misuse can still have impact.
  • Resource submission can consume significant cluster resources, potentially affecting other users.
  • Sensitive information may be exposed through job descriptions or outputs.
  • Misconfiguration in a shared HPC environment could lead to permission issues.
  • Upstream API rate limits may affect performance
  • Some data sources (e.g., KEGG) have licensing terms that restrict non-academic use
  • Features requiring API keys (e.g., OncoKB) may be incomplete without them
  • Local binary installations need regular updates for compatibility
Supported clientsClaude DesktopClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools511