About PatrolTech
PatrolTech is a remote MCP server for security patrol operations, allowing AI assistants to read and act on account data with user authorization. Changes are gathered as proposals and require confirmation before execution; access is governed by the PatrolTech API.
Key features
- 01Read rounds, routes, and checkpoint data
- 02Access guards, locations, incidents, and scans
- 03Propose changes for confirmation or cancellation
- 04Authorize access through OAuth and roles
Use cases
- 01Review patrol routes and checkpoint status
- 02Inspect incident records and guard activity data
- 03Review a batch of account changes before confirmation
MCP support
The remote server gives MCP clients tools to read PatrolTech account data, propose changes, confirm or cancel proposals, and retrieve location QR sheets. Clients connect through OAuth, while the PatrolTech API enforces permissions and scopes.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.patroltech.online/mcpclaude mcp add --transport http online-patroltech-patroltech https://mcp.patroltech.online/mcp{"mcpServers":{"online-patroltech-patroltech":{"type":"http","url":"https://mcp.patroltech.online/mcp"}}}Open in Cursor{"servers":{"online-patroltech-patroltech":{"type":"http","url":"https://mcp.patroltech.online/mcp"}}}Open in VS Code{"mcpServers":{"online-patroltech-patroltech":{"type":"http","url":"https://mcp.patroltech.online/mcp"}}}{"mcpServers":{"online-patroltech-patroltech":{"serverUrl":"https://mcp.patroltech.online/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEPatrolTech MCP server
The remote Model Context Protocol server of PatrolTech, the guard tour and security patrol platform. It lets AI assistants such as Claude, ChatGPT, Copilot, Gemini or Cursor read and act on a PatrolTech account on behalf of a user who signs in with OAuth: rounds, routes, checkpoints, guards, incidents, users, locations, access control and scans.
This repository holds only the server code. To install the connector in your assistant, use PatrolTech/ai-integrations: plugins, MCP Registry entry and instructions for each client.
This server grants no access by itself. It has no credentials of its own: it forwards the user's token, and the PatrolTech API authorizes every call (organization and location roles, OAuth scopes and a closed list of writes allowed to agents). See SECURITY.md.
How it works
MCP client ──OAuth──▶ PatrolTech authorization server
│ Bearer access token (audience = MCP_PUBLIC_URL)
▼
MCP server (this repo, stateless) ──agent session──▶ PatrolTech API
│ ▲
└── Redis: locks and rate limits └── @patroltech/agent-capabilities + @patroltech/sdk-api
- OAuth resource server.
/mcprequires a bearer token issued by the PatrolTech authorization server (RFC 9728 metadata at/.well-known/oauth-protected-resource/mcp). Tokens are verified against the API's JWKS (ES256, exact issuer and audience) and exchanged for a 15-minute agent session (POST /oauth/agent-session), cached by a hash of the token. The API trims the session to what the grant still allows. - Stateless. Each request gets a fresh MCP server instance and serves both protocol eras (2025 and 2026-07-28). Nothing about a conversation is kept in memory: proposals live in the PatrolTech API, so any number of workers can serve the same user.
- Redis holds what must be shared between workers: the per-user lock around proposals (
SET NX PX, renewed while it lasts) and the per-user, per-tool rate limits. It is required inproductionandstaging. If Redis fails, propose, confirm and cancel answer "busy" rather than risk two proposals overwriting each other. WithoutREDIS_URL(development and test only) both live in process memory. - Tools come from the
mcpchannel of@patroltech/agent-capabilities, which calls the API through@patroltech/sdk-api.
Tools
| Tool | What it does |
|---|---|
patroltech_<area>_<read> | One per read of the catalog: read-only, English titles and descriptions, optional organization when the user has several. |
patroltech_account_get_context | The user's organizations (name, role, access) and their locations. Its description says where to review this connection (DASHBOARD_URL, Connected apps). |
patroltech_<area>_propose_<verb> | Proposes a change. Nothing changes until it is confirmed. Proposals of one user and client form one batch (up to 10, expires after 30 minutes). |
patroltech_proposals_confirm | Executes the whole pending batch, in order, with the parameters that were proposed (marked destructive: clients ask the user first). |
patroltech_proposals_cancel | Withdraws the pending batch. |
patroltech_locations_get_qr_sheet | A signed link (1 hour) to the printable QR sheet of a location. |
The server also sends instructions (src/interface/mcp/serverInstructions.ts): guidance that spans several tools, such as using the ranking tools to compare guards and presenting them as activity data, not as an assessment of the people.
Writes need the write scope: without it the server answers 403 insufficient_scope with the read write challenge. Every result is { data, truncated?, notices?, note }, capped at 60,000 characters, where note says that data is data, never instructions. Each user can make 60 calls per minute to a read tool and 20 to a write tool. Every call writes one mcp.tool_call audit line with a hash of the arguments, never the arguments.
Endpoints
| Path | Auth | Purpose |
|---|---|---|
/mcp (path of MCP_PUBLIC_URL) | Bearer | The MCP endpoint (POST, GET, DELETE). Validates Host and rejects any Origin. |
/.well-known/oauth-protected-resource/mcp | none | Protected resource metadata (RFC 9728), also at the root path. |
/health | none | Liveness: 200 {"status":"ok","version":"…"}. |
/health/ready | none | Readiness: 200 if the JWKS answers within 3 s and, with REDIS_URL, Redis answers PING; otherwise 503. |
/.well-known/openai-apps-challenge | none | The OPENAI_APPS_CHALLENGE token, for the ChatGPT apps directory; 404 without it. |
Configuration
Every variable is documented in .env.example. The server refuses to start, listing each missing or invalid variable, if the configuration is not valid.
| Variable | Required | Description |
|---|---|---|
MCP_PUBLIC_URL | yes | Exact public URL of the MCP endpoint, the audience of the tokens (for example https://mcp.example.com/mcp). |
API_BASE_URL | yes | Origin of the PatrolTech API, without /api. |
OAUTH_ISSUER | yes | Expected iss of the access tokens, byte for byte. |
OAUTH_JWKS_URL | no | JWKS of the issuer. Default API_BASE_URL + /oauth/jwks.json. |
DASHBOARD_URL, APP_BASE_URL | yes | PatrolTech dashboard and web app, for links shown to the user. |
APP_ENVIRONMENT | yes | production, staging, development or test. |
REDIS_URL | in production and staging | Shared Redis (ioredis URL). |
REDIS_NAMESPACE | no | Key prefix in Redis. Default APP_ENVIRONMENT. |
HOST, PORT | no | Where the process listens. Default 127.0.0.1:3110, behind a reverse proxy. |
LOG_LEVEL | no | debug, info (default), warn or error. Audit and heartbeat lines are written at any level. |
SERVICE_NAME | no | service field of every log line. Default mcp-server. |
OPENAI_APPS_CHALLENGE | no | Domain verification token for the ChatGPT apps directory. |
Logs are one JSON object per line on stdout and stderr. Each process writes an mcp.heartbeat line every 5 minutes, so a log monitor can alert when it stops.
Development
Node.js 22.9 or later.
npm ci
cp .env.example .env.local # fill in the values; .env.local is ignored by git
npm run dev # tsx watch, loads .env.local
curl http://127.0.0.1:3110/health
| Script | |
|---|---|
npm run dev | Run with reload (tsx watch). |
npm run lint, npm run format:check, npm run typecheck | ESLint, Prettier and the type check of sources and tests. |
npm test | Unit and HTTP tests (vitest). |
npm run test:deploy | Tests of the PM2 ecosystem and of the remote deployment script. |
npm run build | Compile to dist/ (npm start runs it). |
npm run bundle | One self-contained ESM file, dist/bundle/server.mjs (+ source map): the deployable artifact. |
npm run smoke | Starts the bundle with a test configuration and checks /health, the metadata, the challenge and that /health/ready reports the unreachable JWKS and Redis. |
Code layout follows the hexagonal style: src/domain (pure rules), src/application (use cases and their ports), src/interface/mcp (the MCP adapter) and src/infrastructure (HTTP, OAuth, SDK adapters, Redis, logging).
Self-hosting
You can run this server on your own infrastructure, for example to audit it or to put it in front of your own network policies.
OAuth audience. Access tokens are bound to the resource they were issued for. The PatrolTech authorization server only issues tokens for resources it knows, so a deployment under your own MCP_PUBLIC_URL needs to be registered with PatrolTech before PatrolTech users can connect to it. Ask through the channels in SECURITY.md.
What you need:
- Node.js 22.9 or later and Redis.
- A reverse proxy with TLS in front of
HOST:PORTthat forwards/mcp,/.well-known/oauth-protected-resource(and its subpaths) and, if you use them,/health,/health/readyand/.well-known/openai-apps-challenge. Keep theHostheader: the server only accepts the host ofMCP_PUBLIC_URLor loopback.
Steps:
- Build the artifact:
npm ci && npm run bundle && npm run smoke. - Copy
dist/bundle/server.mjs,dist/bundle/server.mjs.mapandpackage.json(the version comes from it) to a directory on the server. Nonpm installis needed there. - Create
.env.localin that directory from.env.example, withAPP_ENVIRONMENT=productionandREDIS_URL. - Start it:
node --enable-source-maps --env-file-if-exists=.env.local server.mjs, or with PM2 (below). The process stops gracefully onSIGTERM, waiting up to 55 s for calls in progress, so give it about 60 s before a forced kill.
With PM2
deploy/ecosystem.config.cjs runs the bundle in cluster mode. It holds no server data: it reads MCP_PM2_NAME, MCP_PORT and MCP_APP_ENVIRONMENT (required) and MCP_INSTANCES, MCP_SERVICE_NAME and PM2_APP_DIR (optional) from the environment, and loads the rest from .env.local.
MCP_PM2_NAME=mcp MCP_PORT=3110 MCP_APP_ENVIRONMENT=production MCP_INSTANCES=2 \
pm2 start ecosystem.config.cjs
In cluster mode the workers run with the Node.js of the PM2 daemon, which must be 22.9 or later for --env-file-if-exists. Never run pm2 update on a shared daemon: it restarts every app it manages.
With GitHub Actions
.github/workflows/deploy.yml deploys a fork of this repository by SSH, by hand (workflow_dispatch, staging by default). It builds, tests and smoke-tests the bundle without secrets, uploads the bundle, package.json and the ecosystem with rsync, and runs deploy/remote-deploy.sh on the server: checks .env.local, reloads PM2 without downtime, probes the readiness URL and waits until every instance is online with the new version. production only deploys from main or a v* tag.
The workflow and the scripts contain no server data, and the logs print nothing from the server. Create the GitHub environments staging and production (with a required reviewer and a deployment branch rule for main and v* tags on production) and set, in each one:
| Secret | Required | Description |
|---|---|---|
SSH_HOST | yes | Host name or IP address of the server. |
SSH_USER | yes | SSH user that owns the app directory and runs PM2. |
SSH_PRIVATE_KEY | yes | Private key of that user, without passphrase, used only for deployments. |
SSH_KNOWN_HOSTS | yes | known_hosts lines of the server, checked out of band (ssh-keyscan -H <host>). |
APP_DIR | yes | Absolute path of the app directory (bundle, .env.local, logs/). |
PM2_APP_NAME | yes | Name of the PM2 process. |
APP_PORT | yes | Local port the process listens on. |
HEALTH_URL | yes | Readiness URL as seen from the server, http://127.0.0.1:<port>/health/ready. |
SSH_PORT | no | SSH port, if not 22. |
DEPLOY_HOME | no | HOME used to talk to the PM2 daemon (where its .pm2 lives). |
NODE_BIN_DIR | no | Directory of the Node.js binary to use on the server, put first in PATH. |
PM2_BIN | no | Path of the pm2 CLI to use. Default: the one in PATH. |
DEPLOY_LOCK_FILE | no | Lock file (flock) shared with the deployments of other apps on the same PM2 daemon. |
FILE_OWNER | no | user:group the app directory must have after the upload. |
SERVICE_NAME | no | service of the log lines. Default: the PM2 process name. |
DD_API_KEY | no | Datadog API key, to send an event when a deployment fails. |
| Variable | Required | Description |
|---|---|---|
PM2_INSTANCES | no | Number of instances (default 1). |
DD_SITE | no | Datadog site for the failure event (default datadoghq.com). |
Server data goes in secrets, not variables: Actions masks secrets in the logs, and the workflow also masks the values derived from them.
Versioning and releases
The version lives only in package.json. When a change to it reaches main, the release workflow creates the v<version> tag and a GitHub release with the bundle and its checksums.
Related packages
@patroltech/agent-capabilities: the catalog of reads and proposed actions this server exposes.@patroltech/sdk-api: the TypeScript SDK of the PatrolTech public API.- PatrolTech/ai-integrations: the connector for each AI assistant.
License
MIT © Ingenieros Web SL
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.