MCP server
Pipe2.ai Official
ai.pipe2/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.
Working at last checkVerified publisher: pipe2.aiAbout 723 tokens per request once connected5 tools
https://mcp.pipe2.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- pipe2.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 723 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http pipe2 https://mcp.pipe2.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.pipe2] url = "https://mcp.pipe2.ai/mcp"
Gemini CLI
{"mcpServers":{"pipe2":{"httpUrl":"https://mcp.pipe2.ai/mcp"}}}
Cursor
{"mcpServers":{"pipe2":{"url":"https://mcp.pipe2.ai/mcp"}}}
VS Code
{"servers":{"pipe2":{"type":"http","url":"https://mcp.pipe2.ai/mcp"}}}
Antigravity
agy mcp add pipe2 https://mcp.pipe2.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"pipe2","server_url":"https://mcp.pipe2.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"pipe2","server_url":"https://mcp.pipe2.ai/mcp"}
Tools
get_pipeline_run_status~104 tokens
Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.get_pipeline_schema~127 tokens
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.list_pipelines~73 tokens
List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.request_upload~244 tokens
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 (prun_pipeline~175 tokens
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.
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