# VisionFlow Match (remote · visionflow-match.saastemly.com)

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

- Trust score: 63/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-18

## Components

- remote · `visionflow-match.saastemly.com`: 63/100 (this document), [markdown](https://verifymcp.io/servers/com-saastemly-visionflow-match/visionflow-match.md), [page](https://verifymcp.io/servers/com-saastemly-visionflow-match/visionflow-match)

## Channel facts

- Endpoint: `https://visionflow-match.saastemly.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.1791044159`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-18.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 3 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS enforcement could not be verified: the plaintext port answered with HTTP 405, which proves neither a plaintext path nor enforcement.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 60/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1127 tokens (~375/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 50/100
  - Stability observed for 15 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the VisionFlow Match MCP server?

VisionFlow Match is a hosted endpoint at https://visionflow-match.saastemly.com/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.

### Claude

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

### Cursor

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

### VS Code

```json
{
  "servers": {
    "com-saastemly-visionflow-match": {
      "type": "http",
      "url": "https://visionflow-match.saastemly.com/mcp"
    }
  }
}
```

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-saastemly-visionflow-match": {
      "type": "remote",
      "url": "https://visionflow-match.saastemly.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-saastemly-visionflow-match --url 'https://visionflow-match.saastemly.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-saastemly-visionflow-match:
    url: "https://visionflow-match.saastemly.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-saastemly-visionflow-match": {
      "Transport": "http",
      "Url": "https://visionflow-match.saastemly.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-saastemly-visionflow-match -t streamable-http -u 'https://visionflow-match.saastemly.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-saastemly-visionflow-match": {
      "type": "http",
      "url": "https://visionflow-match.saastemly.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-18 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-16 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-14 (score 61, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-12 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 30. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-10 (score 59, +2)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 23. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-05 (score 57, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-04 (score 56, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-03 (score 56)

First indexed and scored.

## MCP tools (3)

### `template-match` (~314 tokens)

Find where a small pattern image (a button, icon, logo or crop) appears inside a

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).

Input parameters:

- `grayscale` (boolean): Match on grayscale versions of both images (default false: match all three colour channels)
- `image` (string, required): Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works). At most 4 million pixels and about 2 MB. Alpha is dropped.
- `max_matches` (integer): Most matches returned, 1-50 (default 5); overlapping positions are suppressed
- `method` (string): OpenCV matching method (default TM_CCOEFF_NORMED, robust to brightness change). Scores are 0-1, higher is better; for TM_SQDIFF_NORMED the score is 1 minus the squared-difference value
- `template` (string, required): Base64 of the pattern to find, same formats. At most 1 million pixels and about 1 MB. Must fit inside the image.
- `threshold` (number): Minimum score for a match, 0-1 (default 0.8)

### `feature-match` (~327 tokens)

Match local features between a pattern image and a larger image

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).

Input parameters:

- `detector` (string): Keypoint detector and descriptor: orb (default, fast, binary descriptors, Hamming distance) or sift (slower, better with scale changes, L2 distance)
- `image` (string, required): Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works). At most 4 million pixels and about 2 MB. Alpha is dropped.
- `max_features` (integer): Most keypoints kept per image, 100-5000 (default 2000)
- `max_matches` (integer): Most matches listed, 1-200 (default 50); goodMatches always counts all of them
- `ratio` (number): Lowe's ratio test threshold, 0.5-0.95 (default 0.75): a match is kept when its distance is below ratio times the second-best distance
- `template` (string, required): Base64 of the pattern to find, same formats. At most 1 million pixels and about 1 MB.

### `homography` (~381 tokens)

Locate a pattern image inside a larger image even when it is scaled, rotated or

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).

Input parameters:

- `detector` (string): Keypoint detector and descriptor: orb (default, fast, binary descriptors, Hamming distance) or sift (slower, better with scale changes, L2 distance)
- `image` (string, required): Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works). At most 4 million pixels and about 2 MB. Alpha is dropped.
- `max_features` (integer): Most keypoints kept per image, 100-5000 (default 2000)
- `min_inliers` (integer): Fewest RANSAC inliers for found to be true, 4-200 (default 10)
- `ratio` (number): Lowe's ratio test threshold, 0.5-0.95 (default 0.75): a match is kept when its distance is below ratio times the second-best distance
- `reproj_threshold` (number): RANSAC reprojection error in pixels below which a match is an inlier, 0.5-20 (default 3)
- `template` (string, required): Base64 of the pattern to find, same formats. At most 1 million pixels and about 1 MB. Needs visible texture or corners; a flat-coloured pattern has no features.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-saastemly-visionflow-match/visionflow-match#diagnostics

## Score history

- 2026-10-18: 63
- 2026-10-17: 62
- 2026-10-16: 62
- 2026-10-15: 61
- 2026-10-14: 61
- 2026-10-13: 60
- 2026-10-12: 60
- 2026-10-10: 59
- 2026-10-07: 57
- 2026-10-06: 57
- 2026-10-05: 57
- 2026-10-04: 56
- 2026-10-03: 56

## Common questions

### What is the VisionFlow Match MCP server?

VisionFlow Match is an MCP server listed in the public MCP registry as com.saastemly/visionflow-match. Hosted OpenCV for finding a pattern image inside a larger image: template matching, ORB/SIFT... This page covers its hosted endpoint (https://visionflow-match.saastemly.com/mcp).

### Is the VisionFlow Match MCP server safe to use?

VisionFlow Match scores 63 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 VisionFlow Match MCP server expose?

VisionFlow Match exposes 3 tools: template-match, feature-match, homography. Their descriptions and schemas cost roughly 1,022 tokens of context every time the server is loaded.

### Does the VisionFlow Match MCP server require authentication?

No. We connected to VisionFlow Match without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the VisionFlow Match MCP server still maintained?

VisionFlow Match is still listed as active in the MCP registry. We last reached this channel on 18 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://visionflow-match.saastemly.com/mcp
- Website: https://visionflow-match.saastemly.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-saastemly-visionflow-match/visionflow-match.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-saastemly-visionflow-match/visionflow-match.json
- HTML version of this page: https://verifymcp.io/servers/com-saastemly-visionflow-match/visionflow-match