VisionFlow Match MCP Server

by saastemly Your server? Claim it

answering

VisionFlow Match is answering right now. Last checked 11 min ago. It exposes 3 tools.

Hosted OpenCV for finding a pattern image inside a larger image: template matching, ORB/SIFT...

Uptime history 9 days of history

9 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

108 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check VisionFlow Match every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add visionflow-match --transport http https://visionflow-match.saastemly.com/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "visionflow-match": {
      "url": "https://visionflow-match.saastemly.com/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.visionflow-match]
url = "https://visionflow-match.saastemly.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "visionflow-match": {
      "url": "https://visionflow-match.saastemly.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "visionflow-match": {
      "url": "https://visionflow-match.saastemly.com/mcp"
    }
  }
}

Available tools 3

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

feature

feature-match

Match local features between a pattern image and a larger image: detects ORB or SIFT keypoints in both, matches them with a brute-force matcher and Lowe's ratio test (OpenCV BFMatcher.knnMatch), and returns the good matches as point pairs sorted by distance. Use it to see which parts of a pattern are present and where, even when the pattern is scaled or rotated; for the pattern's outline use /v1/homography. Price: $0.004 a call (3 free calls a day without an API key).

homography

homography

Locate a pattern image inside a larger image even when it is scaled, rotated or viewed at an angle: ORB or SIFT feature matching plus cv2.findHomography with RANSAC. Returns whether it was found, the 3x3 homography (pattern pixels to image pixels), the four projected corners, the bounding box, and the inlier count as confidence. Use it to find a UI element, logo or object in a screenshot or photo. Price: $0.004 a call (3 free calls a day without an API key).

template

template-match

Find where a small pattern image (a button, icon, logo or crop) appears inside a larger screenshot or picture, using OpenCV cv2.matchTemplate. Returns the best position, plus every non-overlapping position scoring above the threshold, as pixel boxes with scores. Use it for exact-looking pixel patterns at the same scale; for different scale, rotation or perspective use /v1/homography. Price: $0.003 a call (3 free calls a day without an API key).

Endpoints

URL	Transport	State	Latency	Checked
https://visionflow-match.saastemly.com/mcp	streamable-http	answering	156 ms	11 min ago

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VisionFlow Match — questions

Answers built from our own checks of this server.

What can VisionFlow Match do?

It exposes 3 tools, read directly from the server on our last check. Among them: feature-match, homography, template-match. 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 →

Is VisionFlow Match working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 108 ms. The bar chart above shows every period we have measured.

How do I connect VisionFlow Match?

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 VisionFlow Match need an API key?

No. VisionFlow Match completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is VisionFlow Match?

It answers our handshake in 108 ms on average, which is faster than 82% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.