Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results. Connect the official Pipe2.ai MCP server to Claude, ChatGPT, or Cursor through gate — one gateway URL, no config files, security-checked.
Free to start · No credit card · No hosting needed
Pick your client. Copy, paste, done — or let gate handle sign-ins and policies for you.
claude mcp add --transport http pipe2-ai https://mcp.pipe2.ai/mcpRun in your terminal, then restart Claude Code.
Pipe2.ai · https://mcp.pipe2.ai/mcp
Real prompts you can type the moment it's connected — no setup, no docs to read.
“Use “get_pipeline_run_status”: Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generate.”
“Use “get_pipeline_schema”: Get the input schema for a specific pipeline. Returns the JSON Schema describing required and optional input fields. Use this before running.”
“Use “list_pipelines”: List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active.”
“Use “request_upload”: 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.”
Every server in the gate directory has to pass the same four checks before your AI can touch it. Here's how Pipe2.ai holds up.
Operated by Pipe2.ai (pipe2.ai) at its documented MCP endpoint — not a third-party mirror or community re-host.
This server only exposes public data — no account and no credentials are involved when you connect.
gate checks every tool for prompt injection, hidden instructions, data-exfiltration hints, and over-broad permissions before the server is available through your gateway.
If Pipe2.ai adds or changes tools later, gate re-scans and alerts you — before your AI acts on the change.
Add one gateway URL to Claude, ChatGPT, or any MCP client. One-time setup, about two minutes.
Choose Pipe2.ai in the gate directory. No sign-in needed.
Pipe2.ai's tools are live in every AI client you've connected — with rules and logging built in.
Free to start · No credit card · No hosting needed
Fetched live from the official endpoint and re-checked daily by gate — not marketing copy.
get_pipeline_run_status — Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generate
get_pipeline_schema — Get the input schema for a specific pipeline. Returns the JSON Schema describing required and optional input fields. Use this before running
list_pipelines — List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active
request_upload — 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
run_pipeline — Run an AI pipeline by slug with the given input. Use list_pipelines to discover available pipelines and get_pipeline_schema to see required
https://mcp.pipe2.ai/mcpYes — Pipe2.ai operates its own remote MCP server at mcp.pipe2.ai. gate connects you to that official endpoint and adds security scanning, per-tool access rules, and an activity log on top.
Add gate's gateway URL to your AI client once, then pick Pipe2.ai in the directory. No account or sign-in is needed. From then on, Pipe2.ai's tools are available in every client you've connected to gate.
No. Pipe2.ai runs the server, and gate is fully managed. You just connect one URL — there's nothing to install, deploy, or maintain.
It's the vendor's official endpoint, and gate scans its tools for prompt injection and hidden instructions before it goes live, re-checks it whenever it changes, and lets you allow, block, or require approval for every single tool.
Yes — you can get started with gate for free and connect Pipe2.ai in minutes. No credit card required.
Every server below works through the same gateway URL — connect once, add tools anytime.
Set up Pipe2.ai in: Claude · Claude Code · ChatGPT · Cursor · VS Code