1Open Slashspace and go to Settings, then Connectors.
2On Discover, search for Descript MCP and click Connect.
3Sign in to Descript MCP in your browser. Slashspace updates when the account is connected.
Then ask for what you need in any Agent mode chat. Descript MCP is on in every chat unless you switch it off.
What your chats can do
14 tools from Descript MCP.
Cancel jobCancel a queued or running job.
Export timelineExport a project composition as a timeline file for import into another DAW/NLE (Premiere, DaVinci Resolve, Final Cut Pro, Pro Tools, Logic, Audition, Reaper). Media files are never bundled — only the timeline/XML/EDL file itself.
Returns immediately with a job_id. Use the wait_for_job tool with the returned job_id to wait for completion; when the job finishes, its result carries a time-limited download_url (valid until download_url_expires_at). Always display the download_url to the user so they can download the file directly. Large exports can take several minutes, so polling avoids connection timeouts.
Formats: edl (Samplitude/Reaper), sesx (Adobe Audition), fcp (Final Cut Pro X .fcpxml), premiere (Premiere Pro XML), davinci_resolve (DaVinci Resolve XML), aaf (Pro Tools/Logic, binary).
Export transcriptExport a project composition as a transcript document. Formats: txt, markdown, html, rtf, srt. Returns the exported content directly in the response.
Get drive infoReturns the drive (workspace) connected to the current session, including its ID and name. Use this to confirm which drive your requests will operate on.
Get projectGet a detailed project summary including all media files, compositions, and existing publishes. Returns the project's id, name, drive_id, created_at, updated_at, folder_path (if in a folder), a map of media files (keyed by display path) with type and duration, a list of compositions with id, name, duration, and media type, and a list of existing publishes with share_url, access_level, media_type, and publish time. Use this to inspect a project's contents before editing or importing media, or to retrieve existing share URLs without triggering a republish.
Import drive mediaImport media files into the drive media library (not into a project). Use this when the user wants to add files to their media library without creating or editing a project. Supports URL imports and direct file uploads.
DIRECT FILE UPLOAD: Instead of a url, provide content_type (MIME type) and file_size (bytes). The response includes upload_urls — a map of media key → { upload_url, asset_id, artifact_id }. PUT each file to its upload_url with header Content-Type: application/octet-stream.
Returns immediately with a job_id and drive_id. Please use the wait_for_job tool with the returned job_id to wait for the job to complete.
Import mediaImport media into a Descript project via URLs (direct links, Google Drive, Dropbox) or direct file upload. Pass URLs as-is. Pass empty add_media ({}) with project_name to create an empty project.
ADDING TO COMPOSITION: When creating a new project, include add_compositions so imported media appears on the timeline — this is the expected default. Only omit add_compositions for new projects when the user explicitly asks to import without adding to the composition. When importing into an existing project, omit add_compositions unless the user requests it, to avoid disrupting existing edits. To append media to an EXISTING composition, use update_compositions (composition_id + append_clips) instead of add_compositions.
DIRECT FILE UPLOAD: Instead of a url, provide content_type (MIME type) and file_size (bytes). The response includes upload_urls — a map of media key → { upload_url, asset_id, artifact_id }. PUT each file to its upload_url with header Content-Type: application/octet-stream. The uploaded file size must match the file_size declared in the request.
Returns immediately with a job_id, project_id, and project_url. Always display the project_url to the user so they can open the project in Descript. Please use the wait_for_job tool with the returned job_id to wait for the job to complete.
List foldersList folders in the drive. Returns each folder's full path from the drive root. By default lists root-level folders. Pass parent_path to list child folders of a specific parent. Use this to browse the folder hierarchy before filtering projects by folder_path.
List jobsList recent jobs, optionally filtered by project or type. Job states: queued, running, stopped (check result.status), cancelled.
List projectsList projects accessible to the authenticated user. Returns each project's id, name, created_at, updated_at, and folder_path (if the project is inside a folder). Use this to discover project IDs before editing or importing media. Supports cursor-based pagination — pass the next_cursor from a previous response's pagination field to fetch the next page.
Prompt project agentAgent Underlord, Descript's built-in AI editor, queries, creates, and edits Descript projects using natural language. Refer to it as Agent Underlord when telling the user what is doing the editing, since that is the name they see in the Descript app. Use project_id for existing projects, project_name to create new ones. Returns immediately with a job_id, project_id, and project_url. Always display the project_url to the user so they can open the project in Descript. Please use the wait_for_job tool with the returned job_id to wait for the job to complete. The response includes a conversation_id — pass it back on subsequent calls to the same project to continue the conversation with full context.
Publish projectPublish a Descript project composition as video or audio, producing a shareable URL. Requires a project_id. Optionally specify a composition_id (defaults to the first composition). Publishing the same composition again automatically reuses the previous share URL, overwriting its content; Video and Audio publishes of the same composition get separate share URLs. If the composition has no video content: omitting media_type publishes it as audio (the result reports media_type="Audio"), while explicitly requesting media_type="Video" fails with a 422. Returns immediately with a job_id. Please use the wait_for_job tool with the returned job_id to wait for the job to complete. When the job completes, always display the share_url and download_url from the result to the user.
Report upload statusReport that a specific direct upload failed, was aborted, or was abandoned so the import job stops waiting on just that file (other files keep uploading). Use this after a PUT to an upload_url errors ("failed"), the user cancels an in-flight upload ("aborted"), or a file will never be uploaded ("abandoned", e.g. the upload UI was dismissed). media_id is the key from the import request's add_media / upload_urls map.
Wait for jobWait for a job to complete. Polls for completion by default (840s) and streams progress updates. Set wait_seconds to 0 to return immediately without waiting. Job states: queued, running, stopped, cancelled. A stopped job has a result object — check result.status for "success" or "error". These jobs routinely run for many minutes, so a long wait is normal rather than a stall. If the job is still going when the wait window elapses, the call still succeeds and returns a non-terminal job_state with wait_status "still_running". That is not a failure — call wait_for_job again with the same job_id and keep calling until job_state is "stopped" or "cancelled". While the job is running, progress.label contains a human-readable status (e.g. "Editing script", "Searching web") — display this to the user so they can see what the agent is doing. The response includes project_url — when a composition ID is available in the result, the URL includes a composition short ID suffix so it opens directly to the right composition. Always display project_url to the user. A completed export_timeline job returns a time-limited result.download_url (valid until result.download_url_expires_at); always display this URL to the user so they can download the file directly. For prompt_project_agent jobs, the completed result includes result.conversation_id — save it and pass it back as conversation_id on the next prompt_project_agent call to the same project to continue the conversation.
