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teppi

Server definition

Hash
sha256:bde665bd08e2dd4687fae824b3babb1a481ab93b1d69eb708ef1c9ff3f97bf47
What it is
What a remote MCP server returned when asked what it offers: 5 tools

The blob, as servednamed by its sha256

{ "instructions": "Pipe2.ai MCP Server — create viral videos using AI pipelines. Use list_pipelines to discover available pipelines, then run them with your inputs.", "tools": [ { "description": "Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.", "inputSchema": { "properties": { "run_id": { "description": "The pipeline run ID returned by run_pipeline", "type": "string" } }, "required": [ "run_id" ], "type": "object" }, "name": "get_pipeline_run_status", "outputSchema": { "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" ], "type": "object" } }, { "description": "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.", "inputSchema": { "properties": { "pipeline_slug": { "description": "The slug identifier of the pipeline (e.g., 'image-generator', 'video-generator')", "type": "string" } }, "required": [ "pipeline_slug" ], "type": "object" }, "name": "get_pipeline_schema", "outputSchema": { "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" ], "type": "object" } }, { "description": "List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.", "inputSchema": { "properties": {}, "required": [], "type": "object" }, "name": "list_pipelines", "outputSchema": { "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" ], "type": "object" } }, { "description": "Request a presigned S3 upload URL for a file. Use this for pipeline inputs that require file URLs (e.g., images, videos, audio).\n\n**Two-step upload flow:**\n1. Call this tool with filename and content_type to get a presigned upload URL and final asset URL\n2. PUT the file contents to the upload_url (presigned, expires in 5 minutes)\n3. Use the asset_url as the input value when running a pipeline\n\nSupported content types: image/* (max 10MB), video/* (max 50MB), audio/* (max 20MB)", "inputSchema": { "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" ], "type": "object" }, "name": "request_upload", "outputSchema": { "properties": { "asset_url": { "type": "string" }, "key": { "type": "string" }, "upload_url": { "type": "string" } }, "required": [ "upload_url", "asset_url", "key" ], "type": "object" } }, { "description": "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.", "inputSchema": { "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" ], "type": "object" }, "name": "run_pipeline", "outputSchema": { "properties": { "run_id": { "type": "string" }, "workflow_id": { "type": "string" } }, "required": [ "run_id", "workflow_id" ], "type": "object" } } ] }
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