About Spot AI MCP (Unofficial)
Spot AI MCP is an unofficial, read-only MCP server for querying Spot AI camera and video-intelligence data. It exposes the API through stdio tools and cannot modify an organization.
Key features
- 01Browse locations and cameras
- 02View camera status and details
- 03Query people, vehicle, and forklift events
- 04Retrieve license plate reports
- 05Generate live-stream viewing URLs
- 06Read documented API paths
Use cases
- 01Inventory accessible locations and cameras
- 02Inspect zones configured on a camera
- 03Review video-intelligence events by date range
- 04Get a camera's live-stream viewing URL
MCP support
The server exposes read-only queries to the Spot AI REST API as MCP tools. It communicates with MCP clients over stdio and marks its tools as read-only.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx spot-ai-mcpSPOT_AI_API_KEYSecretSpot AI API key (create one in the Spot AI dashboard API settings and add an authorization role to it)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
10Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | number | No | Max results per page |
| cursor | string | No | Pagination cursor from a previous response's 'next' field |
Details
From the project READMEspot-ai-mcp
Unofficial community MCP server for the Spot AI camera / video-intelligence REST API. Not affiliated with or endorsed by Spot AI.
Single-file, stdio transport, no dependencies beyond Python 3.9+.
Read-only by design: it can browse cameras and intelligence data but can never modify
anything in your Spot AI org. Every tool wraps a GET endpoint except
get_live_stream_urls, which wraps POST /v1/cameras/live — a read-like POST that
only generates a viewing URL. All tools declare the readOnlyHint: true MCP annotation.
Install
uvx spot-ai-mcp
or pip install spot-ai-mcp, or run straight from a checkout with
python3 -m spot_ai_mcp (no dependencies to install).
Register with Claude Code:
claude mcp add spot-ai -s user -e SPOT_AI_API_KEY=YOUR_KEY -- uvx spot-ai-mcp
API key
Create a key in the Spot AI dashboard's API settings, then add an authorization
(a role, e.g. Owner, optionally scoped) on the key's settings page. A key without a
role returns empty lists from every resource endpoint while get_camera_count still
works — that's the tell.
The server resolves the key lazily on the first API call:
SPOT_AI_API_KEYenvironment variable — the normal path.- Optionally, a secret-helper command, so the key never sits in an env var or config:
the server runs
$SPOT_AI_OP_BIN -f $SPOT_AI_OP_ITEM $SPOT_AI_OP_FIELD(defaults1psa -f spot.ai api_key, per 1psa, a vault-scoped 1Password service-account CLI). Point these at any command with the same flag convention.
The key is never written to disk or config by this server.
Tools
| Tool | What it does |
|---|---|
list_locations | Locations the key can see (paginated) |
list_cameras | Cameras with status, location, IP, MAC (paginated) |
get_camera | One camera by id |
get_camera_count | Number of enabled cameras in the org |
list_appliances | Intelligent Video Recorders (paginated) |
get_zones | Zones defined on a camera |
get_intelligence | Counting / idle / presence events for people, vehicles, or forklifts over a date range |
get_lpr_report | License-plate-recognition report for an LPR camera |
get_live_stream_urls | Live-stream viewing URL for up to 4 cameras |
spot_api_get | Escape hatch: GET any documented /v1/ or /v2/ path |
Notes
- Dual-era MCP server: speaks both the modern per-request protocol
(
server/discover, spec 2026-07-28) and the legacyinitializehandshake (2024-11-05 through 2025-06-18), so old and new clients both work. - Base URL is
https://dev-api.spot.ai, auth isAuthorization: Bearer <key>. - Cloudflare in front of the API rejects Python's default user agent with error 1010;
the server sends
User-Agent: spot-ai-mcp/<version>. - Endpoint index: https://developers.spot.ai/llms.txt (append
.mdto any docs URL for markdown, including the OpenAPI definition per endpoint).
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.