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Pipe2.ai is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http pipe2-ai-mcp https://mcp.pipe2.ai/mcp
# 2 — ask your agent for something these tools do
# get_pipeline_run_status, get_pipeline_schema, list_pipelines and 2 more
Pipe2.ai costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http pipe2-ai-mcp https://mcp.pipe2.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
5 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| run_id | string | yes | The pipeline run ID returned by run_pipeline |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| pipeline_slug | string | yes | The slug identifier of the pipeline (e.g., 'image-generator', 'video-generator') |
List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.
No parameter schema on file.
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 Sup
| Parameter | Type | Required | Notes |
|---|---|---|---|
| content_type | string | yes | MIME type of the file (e.g., 'image/jpeg', 'image/png', 'video/mp4', 'audio/mpeg') |
| filename | string | yes | Name of the file to upload (e.g., 'photo.jpg', 'video.mp4') |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| input | object | yes | Pipeline input fields as a JSON object. Use get_pipeline_schema to see required fields for each pipeline. |
| pipeline_slug | string | yes | The slug identifier of the pipeline to run (e.g., 'image-generator', 'video-generator') |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Pipe2.ai or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Pipe2.ai can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.