mcpbeat

Roc MCP Server

ai.roc/mcp
not responding

Roc is listed as active in the registry but did not answer our last check. It exposes 7 tools.

ROC biometrics & computer vision: face, LPR, OCR, pedestrian, vehicle, gun detection.

Uptime history 42 hours of history · worst hour 0%
42 hours agonow
0.0%
Uptime 24h
0 of 92 checks
7
Tools
read from the server
315 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add mcp --transport http https://mcp.roc.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.roc.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://mcp.roc.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.roc.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.roc.ai/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

detect
detect_guns
Find guns in a photo. Returns the position and confidence score for each gun found. Can also return a cropped image of each gun. Provide the image as base64 (preferred) or a public URL.
detect_persons
Find people in a photo. Returns the position and confidence score for each person found, along with body landmarks and clothing color. Can also return a cropped image of each person. Provide the image as base64 (preferred) or a public URL.
detect_vehicles
Find vehicles in a photo. Returns the position and confidence score for each vehicle found, along with its predicted make, model, and color. Can also return a cropped image of each vehicle. Provide the image as base64 (preferred) or a public URL.
analyze
analyze_faces
Analyze faces in an image. Detects each face and returns its location, confidence score, facial landmarks (eyes, nose, mouth), and head orientation. Optionally computes liveness/spoof detection, passport-standard (ICAO) quality checks, cropped face thumbnails, and detailed analytics including age, emotion, geographic origin, gender, glasses, facial hair, head pose, mouth open/closed, face and image quality, artwork detection, and mask detection. Provide the image as base64 (preferred) or a public URL as fallback.
analyze_license_plates
Analyze license plates in an image. Detects each license plate and returns its location, confidence score, and recognized text (ALPR/OCR). Optionally classifies the issuing region (e.g. state or country), filters non-compliant text, ignores partial reads, and returns a cropped base64 JPG thumbnail of the plate. Provide the image as base64 (preferred) or a public URL as fallback.
compare
compare_faces
Check if the same person appears in two different images. Finds all faces in both images and compares each face from the first image against each face in the second. Returns only the pairs that match, with a similarity score between 0.0 and 1.0. Provide each image as base64 (preferred) or a public URL as fallback.
text
read_text
Read text in an image (OCR). Detects each text region and returns its location, confidence score, and recognized text. Optionally restricts results to a regex pattern, restricts allowed characters via a vocabulary, ignores partial detections, and returns a cropped base64 JPG thumbnail of each text region. Provide the image as base64 (preferred) or a public URL as fallback.

Endpoints

URLTransportStateLatencyChecked
https://mcp.roc.ai/mcp streamable-http answering 315 ms 0 min ago

Roc — questions

Answers built from our own checks of this server.

What can Roc do?
It exposes 7 tools, read directly from the server on our last check. Among them: analyze_faces, analyze_license_plates, compare_faces, detect_guns, detect_persons, detect_vehicles and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Roc mostly used for?
Its tools cluster around detect and analyze. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Roc working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 92 checks got a reply (0.0%), average response time 315 ms. The bar chart above shows every period we have measured.
The registry lists Roc as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Roc?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Roc need an API key?
No. Roc completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.