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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
VDL_URLNoBase URL of your vdl instancehttp://localhost:8000
VDL_TOKENYesvdl MCP token (from the MCP tab)
VDL_MCP_TIMEOUTNodefault request timeout (seconds)30
VDL_MCP_READ_ONLYNoKill switch: expose only read tools (no download/transcribe/delete/bulk)false
VDL_MCP_ALLOW_BULKNobulk actionsfalse
VDL_MCP_ALLOW_READNoresolve/list/status/get_transcripttrue
VDL_MCP_TOOL_<name>NoPer-tool override, e.g. VDL_MCP_TOOL_download=off — beats the group flag
VDL_MCP_ALLOW_DELETENodelete filesfalse
VDL_MCP_ALLOW_DOWNLOADNodownloadtrue
VDL_MCP_ALLOW_SETTINGSNoread settingsfalse
VDL_MCP_ALLOW_TRANSCRIBENotranscribetrue
VDL_MCP_DOMAIN_ALLOWLISTNocomma-separated host suffixes the assistant may download from

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": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
resolveA

[read] Analyze a link and list the available media items and qualities — WITHOUT downloading.

Use this to preview what a URL contains before calling download.

list_filesA

[read] List downloaded files in vdl. Optional filters: query (name/label substring), service (e.g. youtube), label. Returns name, size, duration, labels, in_feed.

job_statusA

[read] Status of a download job by id, or the list of all current jobs if no id is given.

get_transcriptA

[read] Return the transcript text (.txt) of a downloaded file, if it has been transcribed. If none exists yet, tells you to run transcribe(name) first.

downloadA

[writes] Download a video or audio from a URL into vdl (best quality).

  • audio=True downloads MP3 (audio only).

  • section like '0:30-1:00' clips a part.

  • wait=True (default) waits for completion and returns the resulting file 'name' (use it with transcribe/get_transcript). wait=False returns immediately with a job_id.

transcribeA

[writes] Transcribe a downloaded file locally with Whisper and return the text.

'name' is the downloads-relative path from list_files/download (e.g. 'youtube/clip.mp4'). Requires a Whisper model set in vdl (Settings → Transcription). Can take a while.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: preview (resolve), download (download), monitor jobs (job_status), list files (list_files), transcribe (transcribe), and fetch transcript (get_transcript). No functional overlap.

Naming Consistency4/5

All names use snake_case and are readable, but the pattern varies: verb_noun (list_files, get_transcript), verb (resolve, download, transcribe), and noun_noun (job_status). Mostly consistent but not a single pattern.

Tool Count5/5

Six tools cover the full preview-download-monitor-list-transcribe workflow without being excessive. Each tool serves a necessary function in the pipeline.

Completeness4/5

Core lifecycle is fully covered: preview, download, job monitoring, file listing, transcription, and transcript retrieval. Minor gaps like deleting files or canceling jobs are missing, but the essential workflow is complete.

Maintenance

ActivityMaintained
ResponsivenessNo issues