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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HPC_HOSTYesLogin node hostname or IP (required)
HPC_PORTNoSSH port22
HPC_USERYesCluster username (required)
HPC_DOCS_DIRNoOverride the docs directory (default: docs/ next to the profile)
HPC_KEY_PATHYesPrivate key on your machine. With Docker it's mounted at /run/secrets/hpc_key
HPC_PASSWORDNoOnly for servers that demand a password/second prompt in addition to the key
HPC_PROJECTSNoalias:path pairs, comma-separated. Relative paths are resolved under the first writable path, e.g. rna:projects/rnaseq,ref:/shared/ref/hg38
HPC_JUMP_HOSTNoGateway host, like ssh -J
HPC_JUMP_PORTNoGateway SSH port22
HPC_JUMP_USERNoUsername on the gatewayHPC_USER
HPC_KNOWN_HOSTSNoFile with the cluster's host key(s)~/.ssh/known_hosts
HPC_CLUSTER_CONFIGNoCluster profile path (relative to the repo root)cluster/cluster.toml
HPC_KEY_PASSPHRASENoKey passphrase, if the key has one
HPC_COMMAND_TIMEOUTNoSeconds before a remote command is abandoned30
HPC_DEFAULT_PROJECTNoAlias shown as the default project
HPC_VERIFY_HOST_KEYNofalse disables host-key verification (not recommended)true

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
hpc_list_docsA

List the cluster documentation (site rules + SLURM basics).

hpc_read_docA

Read one documentation file. Partial names work, e.g. 'slurm', 'storage'.

hpc_search_docsB

Search all cluster documentation for a keyword or phrase.

hpc_list_directoryA

List a directory on the cluster (ls -lh). Does not fetch file content.

hpc_get_file_infoB

File metadata (size, type, permissions, mtime) without reading content.

hpc_read_fileA

Read a text file into context (≤1 MB). Larger files return a head/tail preview; binary files are refused.

hpc_head_fileA

First N lines of a file. Transparently decompresses .gz files (FASTQ, VCF, BED, …).

hpc_tail_fileA

Last N lines of a file. Ideal for checking live SLURM job logs.

hpc_search_in_fileA

grep a file for a pattern (basic regex). Streams, so safe for huge files.

hpc_find_filesB

Find files by name/type/size under a directory. Returns paths only.

hpc_storage_usageB

Free space (df) on the configured filesystems and the user's quota.

hpc_write_fileC

Create or overwrite a file in a writable location (none configured). Parent dirs are created.

hpc_edit_fileA

Replace an exact string in a file in a writable location. Fails if old_string is not unique unless replace_all=true.

hpc_resolve_projectA

Resolve a project alias to its directory. With no alias, lists projects and the readable/writable roots.

hpc_queueB

Show the SLURM queue (your jobs by default).

hpc_cluster_infoA

Partitions and node availability (sinfo). per_node=true shows CPUs, memory and GPUs for every node.

hpc_job_detailsB

Full details of one job (scontrol + sacct).

hpc_job_efficiencyA

CPU and memory efficiency of a finished job (seff/sacct). Use it to right-size future requests.

hpc_job_historyA

Your jobs from the last N days (sacct), optionally filtered by state.

hpc_list_reservationsB

List SLURM reservations.

hpc_submit_jobA

Submit an existing batch script with sbatch (runs from the script's directory). The script must be in a writable location.

hpc_cancel_jobB

Cancel one of your own jobs (scancel).

hpc_hold_jobA

Hold one of your own pending jobs.

hpc_release_jobA

Release one of your own held jobs.

hpc_generate_sbatchA

Generate an sbatch script, validated against the cluster's partition/QoS limits. Returns text only — save with hpc_write_file.

hpc_generate_rmdC

Generate an R Markdown notebook template that references data paths on the cluster.

hpc_generate_rmd_render_jobC

Generate an sbatch script that renders an R Markdown file on a compute node.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 27 tools

Disambiguation4/5

Tools are mostly distinct by resource and action, but a few overlap: read_file vs head/tail file, queue vs job_history, job_details vs job_efficiency, and generate_rmd vs generate_rmd_render_job. Descriptions clarify current vs past, full details vs efficiency, and template vs render job, so misselection risk is moderate rather than severe.

Naming Consistency4/5

All tools use the hpc_ prefix and snake_case, which is highly predictable. The main deviation is that many names are noun-first (hpc_queue, hpc_cluster_info, hpc_job_details) rather than strict verb_noun, but the convention remains consistent and readable.

Tool Count3/5

With 27 tools, the set is heavy, above the ideal 3-15 range and just over the 25+ 'too many' threshold. The broad HPC domain justifies many tools, but some file and job-query functions could likely be consolidated without losing capability.

Completeness4/5

The surface covers docs, filesystem browsing/reading, storage, project resolution, queue/partition info, job details/efficiency/history, reservations, submit/cancel/hold/release, and script generation. Minor gaps remain: no delete/move/copy for files, no job update or array-specific submission, and write/edit/submit depend on a writable location that the description says is not configured.

Maintenance

ActivityMaintained
ResponsivenessNo issues