Pipe2.ai
REMOTE · MCP.PIPE2.AI · SCANNED SEP 20
Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (run_pipeline). See how to fix → View diagnostics → Fail
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability80
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 536 tokens (~67/item across 8 items; 5 tools + 3 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the Pipe2.ai MCP server?
Pipe2.ai is a hosted endpoint at https://mcp.pipe2.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mcp.pipe2.ai
claude mcp add --transport http ai-pipe2-mcp 'https://mcp.pipe2.ai/mcp'
{
"mcpServers": {
"ai-pipe2-mcp": {
"url": "https://mcp.pipe2.ai/mcp"
}
}
} {
"servers": {
"ai-pipe2-mcp": {
"type": "http",
"url": "https://mcp.pipe2.ai/mcp"
}
}
} [mcp_servers.ai-pipe2-mcp] url = "https://mcp.pipe2.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-pipe2-mcp": {
"type": "remote",
"url": "https://mcp.pipe2.ai/mcp",
"enabled": true
}
}
} openclaw mcp add ai-pipe2-mcp --url 'https://mcp.pipe2.ai/mcp' --transport streamable-http
mcp_servers:
ai-pipe2-mcp:
url: "https://mcp.pipe2.ai/mcp" {
"McpServers": {
"ai-pipe2-mcp": {
"Transport": "http",
"Url": "https://mcp.pipe2.ai/mcp"
}
}
} assistant mcp add ai-pipe2-mcp -t streamable-http -u 'https://mcp.pipe2.ai/mcp'
{
"mcpServers": {
"ai-pipe2-mcp": {
"type": "http",
"url": "https://mcp.pipe2.ai/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 30 Aug 26 0
- Stability: 0.97 → pass security
- 29 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 27 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Aug 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 24 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 1 Aug 26 0
- Tool “get_pipeline_run_status” no longer declares itself destructive security
- Tool “get_pipeline_schema” no longer declares itself destructive security
- Tool “list_pipelines” no longer declares itself destructive security
- Tool “request_upload” no longer declares itself destructive security
- Stability: unverified → 0.03 ▲ functional
- Tool “get_pipeline_run_status” now declares an output schema ▲ functional
- Tool “get_pipeline_schema” now declares an output schema ▲ functional
- Tool “list_pipelines” now declares an output schema ▲ functional
- Tool “request_upload” now declares an output schema ▲ functional
- Tool “run_pipeline” now declares an output schema ▲ functional
- First check of Tool coverage: 100 functional
- 31 Jul 26 0
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Probed https://mcp.pipe2.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.pipe2.ai | CN=YR1,O=Let's Encrypt,C=US | 22 Aug 2026 | 20 Nov 2026 | RSA 4096 | SHA256-RSA | 66645ef6fb2d994f015d897e0e45d868cdf |
| SANs: mcp.pipe2.ai | ||||||
| CN=YR1,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | a20253f15f2691c05dc1ce13b9bcca4e |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of mcp.pipe2.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| pipe2.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.pipe2.ai/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.pipe2.ai/mcp | HTTPS enforced | 301 | https://mcp.pipe2.ai/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_pipeline_run_status ~58
Check the status of a pipeline run. Returns status (pending/running/completed/failed), output data, error messages, timestamps, and generated asset URLs.
| Name | Type | Req | Description |
|---|---|---|---|
| run_id | string | yes | The pipeline run ID returned by run_pipeline |
| Name | Type | Req | Description |
|---|---|---|---|
| agent_actual_credits_mc | integer | yes | – |
| assets | array | yes | – |
| completed_at | string | yes | – |
| created_at | string | yes | – |
| credits_charged | integer | yes | – |
| error_message | string | yes | – |
| id | string | yes | – |
| input | – | yes | – |
| output | – | yes | – |
| parent_run_id | string | yes | – |
| pipeline | object | yes | – |
| share_token | string | yes | – |
| share_watermark | boolean | yes | – |
| status | string | yes | – |
| workflow_execution | object | yes | – |
No examples provided.
get_pipeline_schema ~67
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.
| Name | Type | Req | Description |
|---|---|---|---|
| pipeline_slug | string | yes | The slug identifier of the pipeline (e.g., 'image-generator', 'video-generator') |
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
| input_schema | object | yes | – |
| name | string | yes | – |
| providers | array | – | – |
| slug | string | yes | – |
No examples provided.
list_pipelines ~37
List all available AI video/image pipelines. Returns name, slug, description, category, credit cost, and required providers for each active pipeline.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| pipelines | array | yes | – |
No examples provided.
request_upload ~190
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 Supported content types: image/* (max 10MB), video/* (max 50MB), audio/* (max 20MB)
| Name | Type | Req | Description |
|---|---|---|---|
| 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') |
| Name | Type | Req | Description |
|---|---|---|---|
| asset_url | string | yes | – |
| key | string | yes | – |
| upload_url | string | yes | – |
No examples provided.
run_pipeline ~97
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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') |
| Name | Type | Req | Description |
|---|---|---|---|
| run_id | string | yes | – |
| workflow_id | string | yes | – |
No examples provided.
What is the Pipe2.ai MCP server?
Pipe2.ai is an MCP server listed in the public MCP registry as ai.pipe2/mcp. Run multi-step AI pipelines for video, image, audio and text: upload media, run, poll results. This page covers its hosted endpoint (https://mcp.pipe2.ai/mcp).
Is the Pipe2.ai MCP server safe to use?
Pipe2.ai scores 79 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Pipe2.ai MCP server expose?
Pipe2.ai exposes 5 tools: get_pipeline_run_status, get_pipeline_schema, list_pipelines, request_upload, run_pipeline. Their descriptions and schemas cost roughly 449 tokens of context every time the server is loaded.
Does the Pipe2.ai MCP server require authentication?
No. We connected to Pipe2.ai without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Pipe2.ai MCP server still maintained?
Pipe2.ai is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.