Amadeus
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Alternatives to Amadeus
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to manage SLURM cluster jobs with safety guardrails, including file transfer, job submission, log reading, and remote command execution.1MIT
- AlicenseBqualityCmaintenanceEnables 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.27MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage SLURM HPC clusters via SSH. Supports job submission, resource monitoring, queue management, and file operations.4 npm4-
- AlicenseBqualityAmaintenanceEnables AI agents to run remote commands and manage Slurm cluster jobs over persistent, pooled SSH sessions, with tools for job submission, cancellation, job status/logs, connection state, and querying a cross-session execution ledger.17132 PyPIMIT
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Slurm HPC clusters via SSH, allowing job submission, monitoring, and error diagnosis through MCP clients like Claude Desktop.6MIT
- FlicenseNot gradedqualityBmaintenanceEnables LLMs to manage and run machine learning training jobs on a remote server, including syncing code, submitting experiments, monitoring progress, reading TensorBoard metrics, and receiving completion notifications.-
TDQS
Scored across 21 tools
Tools are largely separable by resource and stage: job lifecycle (list/details/log/wait/check/draft/submit/update/cancel), execution (run_command vs node_exec), file transfer, diagnostics, and issue reporting. A few boundaries blur—job_details already includes log tails, and run_command/node_exec both execute commands—but the descriptions clarify context.
All names are snake_case and readable, but the set mixes verb_noun patterns (submit_job, check_job, push_files) with noun-only names (job_details, cluster_load, budget) and noun_verb (node_exec). The convention is not uniform, though the terms remain reasonably predictable.
21 tools is heavy for an MCP surface and lands in the borderline 16-25 range. The domain is broad—access, Slurm lifecycle, diagnostics, transfers, billing, issues—and no tool is obviously redundant, but the surface feels sprawling.
The core HPC workflow is covered thoroughly: login/access, job drafting/checking/submitting/updating/cancelling, monitoring/waiting/logs, cluster load, budget, transfers, and issue reporting. Minor gaps remain, such as no direct issue-detail/update path or general remote file listing beyond run_command, but workarounds exist.