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Upload-Post

Upload-Post

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by Upload-Post

Upload video

upload_video

Publish videos to multiple social platforms with scheduling, per-platform settings, and support for URL, base64, or local file input.

Instructions

Publish a video to one or more platforms. Use videoPathOrUrl only for public/signed HTTPS URLs, or for absolute local paths when the MCP server runs on the same machine as the file. Hosted clients such as ChatGPT and claude.ai cannot publish attached files by passing /mnt/data, sandbox, or mounted local paths; for those files, ALWAYS call open_upload_studio first so the browser stages the video to Upload-Post/R2, then publishes it. videoBase64 is only for clients that can provide raw bytes directly and is capped by UPLOAD_POST_MAX_INLINE_MB (default 100). Returns a request_id you can poll with get_status. Supports per-platform overrides (tiktokPrivacyLevel, youtubePrivacyStatus, youtubePlaylistId, youtubeThumbnailUrl, youtubeTags, facebookPageId, instagramMediaType, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYesProfile name (Upload-Post user).
titleNoCaption / title.
timezoneNoIANA timezone for scheduled date, e.g. 'Europe/Madrid'.
platformsYesRequired array of platform identifiers, e.g. ['instagram']. Never pass a single string.
addToQueueNoInsert into the user's posting queue instead of publishing now.
asyncUploadNoReturn immediately with request_id (default true).
descriptionNo
videoBase64NoVideo bytes as base64 (or a data: URI). Provide this OR videoPathOrUrl. The server writes it to a temp file, uploads, then deletes it. Capped by UPLOAD_POST_MAX_INLINE_MB (default 100).
firstCommentNo
scheduledDateNoISO 8601 date for scheduled publishing, e.g. '2026-12-25T10:00:00Z'. Omit for immediate post.
videoFilenameNoOptional filename (e.g. 'clip.mp4') used only to pick the temp file extension when videoBase64 is given. Defaults to .mp4.
videoPathOrUrlNoPublic/signed HTTPS URL of the video. Absolute local paths are supported only for local/self-hosted MCP clients sharing the same filesystem. Do not pass ChatGPT `/mnt/data` or sandbox paths; use open_upload_studio instead.
maxPostsPerSlotNo
platformOptionsNoPlatform-specific overrides as a flat object (camelCase keys), e.g. { tiktokPrivacyLevel: 'PUBLIC_TO_EVERYONE', youtubePrivacyStatus: 'public', youtubePlaylistId: 'PLxxxxxxxxxxxx', facebookPageId: '123' }. `youtubePlaylistId` may also be an array or a comma-separated list of playlist IDs to add the uploaded video to.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNo
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate readOnlyHint=false and destructiveHint=false, which are consistent with the write operation. The description adds behavioral details beyond annotations: explains the return of request_id, async upload default, inline size caps, and local file path constraints. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately long but each sentence adds value. It is front-loaded with the core action and includes warnings and examples. Could be slightly more concise, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 14 parameters (2 required), an output schema (implied), and the complexity of platform-specific options, the description covers main usage patterns, important pitfalls, and return behavior. It is sufficiently complete for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 79%, so baseline is 3. The description adds value by explaining the alternative use of open_upload_studio, the cap on videoBase64, and the purpose of platform-specific overrides. It does not repeat schema content but provides important usage context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Publish a video to one or more platforms', explicitly identifying the action and resource. It distinguishes from sibling tools like upload_text and upload_photos by focusing on video publishing and mentioning platform-specific overrides.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides guidance on when to use videoPathOrUrl vs videoBase64, warns about hosted clients not supporting local paths, and recommends open_upload_studio as an alternative. It does not explicitly list when not to use this tool versus other tools, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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