Pipe2.ai
Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"mcp": {
"url": "https://mcp.pipe2.ai/mcp"
}
}
}リモートエンドポイント
https://mcp.pipe2.ai/mcpstreamable-httpできること
ツール一覧
ツール（5）
🟢get_pipeline_run_status(run_id)
Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.
入力スキーマ
{
"type": "object",
"properties": {
"run_id": {
"description": "The pipeline run ID returned by run_pipeline",
"type": "string"
}
},
"required": [
"run_id"
]
}出力スキーマ
{
"type": "object",
"properties": {
"agent_actual_credits_mc": {
"type": "integer"
},
"assets": {
"items": {
"properties": {
"created_at": {
"type": "string"
},
"id": {
"type": "string"
},
"thumbnail_url": {
"type": "string"
},
"type": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"id",
"type",
"url",
"thumbnail_url",
"created_at"
],
"type": "object"
},
"type": "array"
},
"completed_at": {
"type": "string"
},
"created_at": {
"type": "string"
},
"credits_charged": {
"type": "integer"
},
"error_message": {
"type": "string"
},
"id": {
"type": "string"
},
"input": {},
"output": {},
"parent_run_id": {
"type": "string"
},
"pipeline": {
"properties": {
"cancellable": {
"type": "boolean"
},
"input_schema": {},
"name": {
"type": "string"
},
"output_schema": {},
"slug": {
"type": "string"
},
"translations": {
"items": {
"properties": {
"locale": {
"type": "string"
},
"name": {
"type": "string"
}
},
"required": [
"locale",
"name"
],
"type": "object"
},
"type": "array"
},
"ui_schema": {}
},
"required": [
"name",
"slug",
"output_schema",
"input_schema",
"ui_schema",
"cancellable",
"translations"
],
"type": "object"
},
"share_token": {
"type": "string"
},
"share_watermark": {
"type": "boolean"
},
"status": {
"type": "string"
},
"workflow_execution": {
"properties": {
"close_time": {
"type": "string"
},
"start_time": {
"type": "string"
},
"status": {
"type": "integer"
}
},
"required": [
"status",
"start_time",
"close_time"
],
"type": "object"
}
},
"required": [
"id",
"status",
"input",
"output",
"error_message",
"credits_charged",
"parent_run_id",
"agent_actual_credits_mc",
"created_at",
"completed_at",
"share_token",
"share_watermark",
"pipeline",
"assets",
"workflow_execution"
]
}🟢get_pipeline_schema(pipeline_slug)
Get the input schema for a specific pipeline. Returns the JSON Schema describing required and optional input fields. Use this before running a pipeline to understand what inputs are needed.
入力スキーマ
{
"type": "object",
"properties": {
"pipeline_slug": {
"description": "The slug identifier of the pipeline (e.g., 'image-generator', 'video-generator')",
"type": "string"
}
},
"required": [
"pipeline_slug"
]
}出力スキーマ
{
"type": "object",
"properties": {
"category": {
"type": "string"
},
"input_schema": {
"type": "object"
},
"name": {
"type": "string"
},
"providers": {
"items": {
"type": "string"
},
"type": "array"
},
"slug": {
"type": "string"
}
},
"required": [
"slug",
"name",
"category",
"input_schema"
]
}🟢list_pipelines
List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.
入力スキーマ
{
"type": "object",
"properties": {},
"required": []
}出力スキーマ
{
"type": "object",
"properties": {
"pipelines": {
"items": {
"properties": {
"category": {
"type": "string"
},
"description": {
"type": "string"
},
"models": {
"items": {
"type": "string"
},
"type": "array"
},
"name": {
"type": "string"
},
"providers": {
"items": {
"type": "string"
},
"type": "array"
},
"slug": {
"type": "string"
}
},
"required": [
"slug",
"name",
"description",
"category",
"providers",
"models"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"pipelines"
]
}🟡request_upload(content_type, filename)
Request a presigned S3 upload URL for a file. Use this for pipeline inputs that require file URLs (e.g., images, videos, audio). **Two-step upload flow:** 1. Call this tool with filename and content_type to get a presigned upload URL and final asset URL 2. PUT the file contents to the upload_url (presigned, expires in 5 minutes) 3. Use the asset_url as the input value when running a pipeline Supported content types: image/* (max 10MB), video/* (max 50MB), audio/* (max 20MB)
入力スキーマ
{
"type": "object",
"properties": {
"content_type": {
"description": "MIME type of the file (e.g., 'image/jpeg', 'image/png', 'video/mp4', 'audio/mpeg')",
"type": "string"
},
"filename": {
"description": "Name of the file to upload (e.g., 'photo.jpg', 'video.mp4')",
"type": "string"
}
},
"required": [
"filename",
"content_type"
]
}出力スキーマ
{
"type": "object",
"properties": {
"asset_url": {
"type": "string"
},
"key": {
"type": "string"
},
"upload_url": {
"type": "string"
}
},
"required": [
"upload_url",
"asset_url",
"key"
]
}🔴run_pipeline(input, pipeline_slug)
Run an AI pipeline by slug with the given input. Use list_pipelines to discover available pipelines and get_pipeline_schema to see required inputs. Returns a run ID for tracking status.
入力スキーマ
{
"type": "object",
"properties": {
"input": {
"description": "Pipeline input fields as a JSON object. Use get_pipeline_schema to see required fields for each pipeline.",
"properties": {},
"type": "object"
},
"pipeline_slug": {
"description": "The slug identifier of the pipeline to run (e.g., 'image-generator', 'video-generator')",
"type": "string"
}
},
"required": [
"pipeline_slug",
"input"
]
}出力スキーマ
{
"type": "object",
"properties": {
"run_id": {
"type": "string"
},
"workflow_id": {
"type": "string"
}
},
"required": [
"run_id",
"workflow_id"
]
}コミュニティ
エビデンス