ai.pipe2/mcp

MCPcommunitylive
v1.0.0ai.pipe2UnknownUpdated 2mo ago

Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.

Endpoint healthlive
checked 2 days ago · 856ms
100% of the last 5 checks reached this endpoint
Works in
ClaudeCursorCopilotChatGPTGemini

Inferred from the transports this listing declares (streamable-http). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorai.pipe2
LicenseUnknown
Version1.0.0
Sourcemcp-registry
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: this listing has no repository on file, so `forge publish` cannot verify ownership automatically. Use "Claim this listing" above — Forge reviews these by hand.
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface5 tools · 1 privileged
Security scan✓ Cleanvlive · 13d agoHow well does this scan work?
EvalsNone
IndexedAug 11, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

5 tools · 1 privileged
Observed live from the vendor's endpoint13d ago

Read from a real MCP initialize → tools/list handshake against the declared endpoint. No tool was ever invoked — tools/list is the read-only introspection call the protocol defines for this. It reflects what the server advertised at that moment; a hosted endpoint is not pinned to any version and can change without notice.

  • https://mcp.pipe2.ai/mcp5 tools · 581ms
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.

Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.

ParameterTypeDescription
run_id*stringThe pipeline run ID returned by run_pipeline
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.

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.

ParameterTypeDescription
pipeline_slug*stringThe slug identifier of the pipeline (e.g., 'image-generator', 'video-generator')
list_pipelinesList all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.

List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.

No input schema was published for this tool.

request_uploadprivilegedRequest 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 (…

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 (…

ParameterTypeDescription
content_type*stringMIME type of the file (e.g., 'image/jpeg', 'image/png', 'video/mp4', 'audio/mpeg')
filename*stringName of the file to upload (e.g., 'photo.jpg', 'video.mp4')
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.

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.

ParameterTypeDescription
input*objectPipeline input fields as a JSON object. Use get_pipeline_schema to see required fields for each pipeline.
pipeline_slug*stringThe slug identifier of the pipeline to run (e.g., 'image-generator', 'video-generator')

5 of 5 tools published a description.

Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.

About

Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.

Keywords
mcp
Alternatives
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No dependency coverage

This entry publishes no npm package, so Forge has no dependency tree for it. That is a gap in coverage — not a statement that it has no dependencies.