# Spot AI MCP (Unofficial) (pypi · spot-ai-mcp)

Unofficial community MCP server for the Spot AI camera and video-intelligence REST API. Read-only.

- Trust score: 64/100 (medium)
- Change this week: −12
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-21

## Components

- pypi · `spot-ai-mcp`: 64/100 (this document), [markdown](https://verifymcp.io/servers/phil-bryant-spot-ai-mcp/spot-ai-mcp.md), [page](https://verifymcp.io/servers/phil-bryant-spot-ai-mcp/spot-ai-mcp)

## Channel facts

- Registry: `pypi`
- Package: `spot-ai-mcp`
- Version: `0.3.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-09-21.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it.
  - No production dependencies, so there is no dependency health to assess.
- **Provenance & Transparency**: 32/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: no license is declared.
  - Actively maintained (last published 20 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 78/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 654 tokens (~65/item across 10 items; 10 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 80/100
  - Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 97/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 90% 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 10 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Spot AI MCP (Unofficial) server?

Spot AI MCP (Unofficial) runs locally as a PyPI package, launched with uvx spot-ai-mcp. 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 phil-bryant-spot-ai-mcp -- uvx spot-ai-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "phil-bryant-spot-ai-mcp": {
      "command": "uvx",
      "args": [
        "spot-ai-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "phil-bryant-spot-ai-mcp": {
      "command": "uvx",
      "args": [
        "spot-ai-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add phil-bryant-spot-ai-mcp -- uvx spot-ai-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "phil-bryant-spot-ai-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "spot-ai-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add phil-bryant-spot-ai-mcp --command uvx --arg spot-ai-mcp
```

### Hermes

```yaml
mcp_servers:
  phil-bryant-spot-ai-mcp:
    command: "uvx"
    args: ["spot-ai-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "phil-bryant-spot-ai-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "spot-ai-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add phil-bryant-spot-ai-mcp -t stdio -c uvx -a spot-ai-mcp
```

### Other

```json
{
  "mcpServers": {
    "phil-bryant-spot-ai-mcp": {
      "command": "uvx",
      "args": [
        "spot-ai-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-09-20 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-17 (score 63, −14)

- [security regression] Malware scan: pass → unverified

### 2026-09-16 (score 77, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-15 (score 62, −14)

- [security regression] Malware scan: pass → unverified

### 2026-09-14 (score 76, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-13 (score 61, −14)

- [security regression] Malware scan: pass → unverified

### 2026-09-12 (score 75, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-11 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (10)

### `list_locations` (~72 tokens)

List locations (id and name) the API key has access to. Paginated: pass the response's 'next' value back as 'cursor' until it is null.

Input parameters:

- `cursor` (string): Pagination cursor from a previous response's 'next' field
- `limit` (number): Max results per page

### `list_cameras` (~63 tokens)

List cameras for the org (id, name, status, location, IP, MAC, appliance). Paginated via cursor.

Input parameters:

- `cursor` (string): Pagination cursor from a previous response's 'next' field
- `limit` (number): Max results per page

### `get_camera` (~27 tokens)

Get details for a single camera by id.

Input parameters:

- `camera_id` (number, required): Camera id

### `get_camera_count` (~19 tokens)

Get the number of enabled cameras in the organization.

### `list_appliances` (~56 tokens)

List appliances (Intelligent Video Recorders) for the org. Paginated via cursor.

Input parameters:

- `cursor` (string): Pagination cursor from a previous response's 'next' field
- `limit` (number): Max results per page

### `get_zones` (~27 tokens)

List the zones defined on a camera.

Input parameters:

- `camera_id` (number, required): Camera id

### `get_intelligence` (~179 tokens)

Get intelligence events and summary for a camera: counting, idle, or presence of people, vehicles, or forklifts over a date range.

Input parameters:

- `camera_id` (number, required): Camera id
- `end_date` (string, required): RFC3339 end of the date range
- `end_time` (string): Optional daily window end, HH:mm:ss (default 23:59:59)
- `entity` (string, required)
- `metric` (string, required)
- `start_date` (string, required): RFC3339 start of the date range, e.g. 2026-08-01T00:00:00Z
- `start_time` (string): Optional daily window start, HH:mm:ss (default 00:00:00)
- `threshold` (number): Minimum entities in frame to count as an event (default 1)

### `get_lpr_report` (~63 tokens)

Get the license-plate-recognition report for an LPR-enabled camera.

Input parameters:

- `camera_id` (number, required): Camera id (must be LPR enabled)
- `query` (object): Optional extra query parameters (e.g. date filters) passed through verbatim

### `get_live_stream_urls` (~59 tokens)

Get a URL to a live stream of up to 4 cameras. Generates a viewing URL for the authenticated caller; modifies nothing.

Input parameters:

- `camera_ids` (array, required): Ids of the cameras to create live urls for (1 to 4)

### `spot_api_get` (~89 tokens)

Escape hatch: perform a GET against any documented Spot AI API path (https://developers.spot.ai/llms.txt lists them). Example path: /v1/integrations. Only GET is supported; this server is read-only.

Input parameters:

- `path` (string, required): API path starting with /v1/ or /v2/
- `query` (object): Query parameters as a flat object

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/phil-bryant-spot-ai-mcp/spot-ai-mcp#diagnostics

## Score history

- 2026-09-21: 64
- 2026-09-20: 64
- 2026-09-19: 63
- 2026-09-18: 63
- 2026-09-17: 63
- 2026-09-16: 77
- 2026-09-15: 62
- 2026-09-14: 76
- 2026-09-13: 61
- 2026-09-12: 75
- 2026-09-11: 60
- 2026-09-10: 59
- 2026-09-09: 59
- 2026-09-08: 58
- 2026-09-07: 58
- 2026-09-06: 72
- 2026-09-05: 72
- 2026-09-04: 71
- 2026-09-03: 56
- 2026-09-02: 56
- 2026-09-01: 55
- 2026-08-31: 53
- 2026-08-30: 68
- 2026-08-29: 68
- 2026-08-28: 53

## Common questions

### What is the Spot AI MCP (Unofficial) server?

Spot AI MCP (Unofficial) is listed in the public MCP registry as io.github.phil-bryant/spot-ai-mcp. Unofficial community MCP server for the Spot AI camera and video-intelligence REST API. Read-only. This page covers its PyPI package (spot-ai-mcp).

### Is the Spot AI MCP (Unofficial) server safe to use?

Spot AI MCP (Unofficial) scores 64 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. 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 Spot AI MCP (Unofficial) server expose?

Spot AI MCP (Unofficial) exposes 10 tools: list_locations, list_cameras, get_camera, get_camera_count, list_appliances, and 5 more. Their descriptions and schemas cost roughly 654 tokens of context every time the server is loaded.

### Is the Spot AI MCP (Unofficial) server still maintained?

Spot AI MCP (Unofficial) is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- PyPI project: https://pypi.org/project/spot-ai-mcp/
- Socket report: https://socket.dev/pypi/package/spot-ai-mcp
- Repository: https://github.com/phil-bryant/spot-ai-mcp
- Changelog RSS feed: https://verifymcp.io/servers/phil-bryant-spot-ai-mcp/spot-ai-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/phil-bryant-spot-ai-mcp/spot-ai-mcp.json
- HTML version of this page: https://verifymcp.io/servers/phil-bryant-spot-ai-mcp/spot-ai-mcp