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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
images_listA

List registered disk images (name, path, label, timezone) and the default timezone.

images_addA

Register a disk image (raw, split raw .001, E01) under a short name. Allowed only for paths under the configured allowed_roots (or with FEA_UNRESTRICTED=1); otherwise register on the host with fea images add.

tools_statusB

Platform, Python version, optional native tools (sleuthkit, exiftool) and the host access policy in force.

partitionsC

Partition table (mmls-style) with file-system type probing for each partition.

lsB

List a directory (path or 'inode:N'): names, inodes, sizes, MAC times, deleted flags, alternate data streams.

statB

Full metadata for a file/dir by path or inode ('inode:N' or 'N-128-3'): times, attributes/ADS, NTFS $FILE_NAME times with a timestomp indicator, istat text when sleuthkit is installed.

readB

Read up to 4 MiB of a file (or an ADS via stream) as text (auto UTF-16 detection) or hex.

extractB

Copy a file (or ADS) out of the image into out_dir (relative to, or inside, the output root); returns size, SHA1, MD5.

findB

Find files by path name (glob with * ? or regex), including deleted names. deleted = any|only|no. Times ISO in image timezone.

timelineC

File-system timeline (directory walk) between start/end (ISO, image timezone), optionally filtered by path regex. kinds: m a c b.

recover_deletedB

Background job: recover deleted/orphaned files into out_dir (inside the output root), optionally only paths matching regex. Poll job_result.

grep_filesB

Background job: search file CONTENT (UTF-8 and UTF-16LE) of files whose path matches path_regex. Poll job_result.

grep_unallocatedB

Background job: scan unallocated space for terms; hits carry file-system block numbers (or blkls offsets when sleuthkit is used). Poll job_result.

grep_fileC

Search one file (in-image ref, or local_path to an extracted file such as pagefile.sys) for terms; returns offsets and context.

stringsC

Printable strings (ASCII and UTF-16LE) from a file with offsets, optionally filtered by regex.

disk_readC

Raw bytes at an absolute byte offset in the image (hex dump or text).

block_readB

Read file-system blocks by number (follow up grep_unallocated hits).

blkcalcC

Map a blkls stream byte offset (from a sleuthkit-mode grep_unallocated hit) to the real file-system block.

registry_keyC

Read a Windows registry hive (SYSTEM, SOFTWARE, SAM, NTUSER.DAT, UsrClass.dat, Amcache.hve): a key's values, last-write time and subkeys to depth (max 4).

registry_pluginsC

Run regipy artefact plugins on a hive (UserAssist, ShellBags, WordWheelQuery, TypedPaths, USBSTOR, services, ComputerName, timezone, ...).

evtxB

Query a Windows .evtx log: filter by event IDs, time range (ISO, image timezone), provider, or text; returns flattened event data.

sqlite_tablesC

Tables, row counts, columns and freelist size of a SQLite database (browser history, chat apps, Android apps). WAL applied when present.

sqlite_queryC

Run a read-only SELECT against a SQLite database inside the image.

lnkB

Parse a Windows shortcut (.lnk / Jump List entry): target path, volume serial, machine id, target times.

prefetchB

Parse a Windows Prefetch (.pf) file: executable, run count, last 8 run times, volumes, referenced files.

esedb_tablesC

List tables of an ESE database (SRUDB.dat, Windows.edb, WebCacheV01.dat, ntds.dit).

esedb_dumpC

Dump rows of an ESE database table (optionally selected columns, filtered by text).

exifC

Metadata of a media/document file (exiftool when installed, else Pillow EXIF and OOXML properties).

file_infoC

File type, SHA1/MD5/SHA256, entropy, and bytes after the JPEG/PNG/PDF end marker (hidden appended data).

office_partsC

Open an OOXML document (docx/xlsx/pptx): list parts, extract text, comments, properties; flag hidden text and tracked changes.

yara_scanC

Scan a file with YARA rules (rule text, or a .yar path inside the allowed roots).

job_statusC

Status and progress of a background job.

job_resultB

Wait up to wait_s seconds (max 300) for a background job and return its result when done.

job_cancelB

Ask a running background job to stop at its next progress checkpoint.

jobs_listB

List background jobs started in this session.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.9/5.0

Scored across 35 tools

Disambiguation4/5

Most tools have clearly distinct forensic purposes tied to specific artifacts or operations. However, there is some overlap among related tools like `ls` vs `find`, `read` vs `disk_read`/`block_read`, and the `grep_*` family, which could cause occasional hesitation. Descriptions generally clarify the boundaries well.

Naming Consistency3/5

The set mixes verb_noun (`images_list`, `grep_files`), noun_verb (`disk_read`, `sqlite_query`), and bare noun (`partitions`, `stat`, `evtx`, `lnk`) conventions. All names use lowercase snake_case, so it remains readable, but the lack of a single predictable pattern reduces consistency.

Tool Count2/5

With 35 tools, the set is heavy and exceeds the 25+ threshold for 'too many' in the rubric. While the forensic domain is broad and many tools target distinct artifacts, the count suggests opportunities for consolidation or grouping to reduce cognitive load.

Completeness4/5

The surface covers disk images, filesystem metadata, content search, registry, event logs, SQLite, ESE, LNK, prefetch, EXIF, OOXML, and YARA, which is broad for forensic analysis. Minor gaps include image removal/update, hash set import/compare, and dedicated carving or memory analysis, but agents can work around these.

Maintenance

ActivityMaintained
ResponsivenessNo issues