Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_BASE_URLNoRoute LLM calls through any OpenAI-compatible proxy (LiteLLM, OpenRouter, Ollama, vLLM)
FCP_PROJECTS_DIRNoRoot directory for FCPXML file discovery via list_projects~/Movies

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
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
inspectA

Read a timeline or project without changing it. Use this first to understand what you are working with. Actions: list_projects, analyze_timeline, analyze_pacing, list_clips, list_markers, list_roles, list_keywords, list_effects, list_templates, list_library_clips, list_compound_clips, list_connected_clips, filter_by_role.

diagnoseA

Find problems in a timeline: gaps, flash frames, duplicates, dead air, and beat structure. Read-only. Run before editing. Actions: validate_timeline, detect_gaps, detect_duplicates, detect_flash_frames, detect_silence_candidates, detect_media_silence, detect_beats, find_short_cuts, find_long_clips, diff_timelines.

editA

Change clips on the timeline: insert, delete, trim, split, reorder, retime, remove silence, and attach audio, B-roll or transitions. Writes a new file. Actions: insert_clip, delete_clips, trim_clip, split_clip, reorder_clips, change_speed, rapid_trim, add_transition, add_audio, add_connected_clip, assign_role, fill_gaps, fix_flash_frames, remove_silence_candidates, remove_media_silence.

markB

Add or import markers and chapters, including from SRT/VTT subtitles, transcripts, and beat analysis. Actions: add_marker, batch_add_markers, import_srt_markers, import_transcript_markers, import_beat_markers, snap_to_beats.

generateB

Build new timeline structure from source clips: rough cuts, montages, A/B roll, templates and compound clips. Actions: auto_rough_cut, generate_ab_roll, generate_montage, apply_template, create_compound_clip, flatten_compound_clip, import_edl_json.

transcriptB

Transcribe source media locally and edit the timeline by what was SAID rather than by timecode. Also removes filler words. Actions: transcribe_media, edit_by_transcript, remove_filler_words, transcript_pack.

deliverA

Get the edit out: export to other NLEs, CSV, EDL and stems, reformat, relink media, or push straight into a running Final Cut Pro. Exports and push refuse a cut with no rendered preview of its current state (pass confirm_unreviewed=true to ship anyway). Actions: export_csv, export_edl, export_fcp7_xml, export_resolve_xml, export_role_stems, reformat_timeline, relink_media, push_to_fcp, list_fcp_libraries.

previewA

See the edit without opening Final Cut Pro. Render a proxy video of the timeline, a contact sheet of every cut, a single frame, or a filmstrip-plus-waveform check read from the SOURCE MEDIA rather than from the XML. Run preview_check to confirm a fix actually landed. Actions: preview_render, preview_sheet, preview_frame, preview_check, preview_timeline.

watchA

Close the round-trip. Watch the Final Cut Pro export folder, detect the XML the moment it lands, and diff it against the last one seen. Pair with deliver.push_to_fcp for a full loop: push in, edit, Cmd-E, watch_pull. Actions: watch_start, watch_status, watch_stop, watch_pull.

indexA

The analysis cache under ~/.fcp-mcp/index.db. index_status shows what is cached and how old it is; index_build warms it for every source in a timeline (args: filepath, with_transcript); index_clear drops it. Every other tool works with the index off (FCP_MCP_INDEX=off) — this only makes the second question fast. Actions: index_status, index_build, index_clear.

scenesA

Shot boundaries. detect_scenes reads every source in a timeline and reports cuts in timeline time (args: filepath, clip_name?, backend auto|content|adaptive|ffmpeg, threshold?, min_scene_len=0.5); scenes_to_markers writes a marker at each cut; scenes_split cuts the clips there. PySceneDetect via the scenes extra, ffmpeg without it — the result names which one answered. Actions: detect_scenes, scenes_to_markers, scenes_split.

organizeA

Bulk library logging and the ledger. organize_auto proposes keywords per clip from cached captions and the transcript (apply=true writes them). Select clips with clip_name (glob), keyword and/or role, then organize_keywords (keywords, mode add|remove|replace), organize_rate (rating favorite|rejected|clear) or organize_roles (audio_role, video_role); each writes a _organized copy. history lists every recorded operation for the file's folder (limit); undo (n) moves the outputs of the last n writes into the journal's undone/ folder — it never deletes and refuses when a file changed since it was written. Actions: organize_auto, organize_keywords, organize_rate, organize_roles, history, undo.

findA

Natural-language shot search. find_shots (filepath, query, limit=10, visual=false, clip_name?) ranks moments by what was said (transcript), what was logged (names, keywords, notes, markers, audio events) and, when a local vision model is installed, what the frames look like — the first line of every result names which tiers answered and why one could not. find_index (captions=true, backend) warms scenes and captions and reports which clips have no transcript (it never transcribes or goes online). find_to_timeline (min_source_separation=1, output_path?) assembles the hits into a _found selects reel and reports its diversity score. Actions: find_index, find_shots, find_to_timeline.

Prompts

Interactive templates invoked by user choice

NameDescription
qc-checkRun a full quality control check on your timeline — flash frames, gaps, duplicates, and health score
youtube-chaptersExtract chapter markers formatted for YouTube descriptions
rough-cutGuided rough cut generation — choose keywords, pacing, and duration
timeline-summaryQuick overview of a timeline — stats, pacing, and potential issues
cleanupFind and fix common timeline issues — flash frames, gaps, and duplicates

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DareDev256/fcp-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server