Pipe2 MCP server
Which servers in the official MCP registry are Pipe2's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-13
- Registry nameai.pipe2/mcpverified in the MCP registry
The registry name sits under pipe2.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-13
- Tools5
- Server calls itselfpipe2-ai
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-13 the server answered initialize and tools/list without a sign-in. First answer in 533 ms.
get_pipeline_run_statusCheck the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.
get_pipeline_schemaGet 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_pipelinesList all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.
request_uploadRequest 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…
run_pipelineRun 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.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"pipe2": {
"type": "http",
"url": "https://mcp.pipe2.ai/mcp"
}
}
}Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.