Technical integration guide
How to connect Grok Bot to AveryIQ property management software
Connect Grok Bot to AveryIQ through MCP. A technical guide to authentication, read-only tools, an xAI API bridge, and repeatable property-management workflows.
Published September 16, 2026 · Reviewed September 16, 2026
AveryIQ's MCP server connects your property-management data to tools outside AveryIQ. With Grok Bot, you can turn that connection into a maintenance briefing, a lease-expiration review, or preparation for an owner update. AveryIQ remains the system of record; the Bot works with the records its connection is permitted to access.
This guide walks through a developer-managed connection using the xAI API from Grok Bot's cloud computer. It also explains where a native plugin or a Grok.com custom connector fits. Start with one property and a read-only task, then make the verified workflow repeatable.
1. Choose your connection path
Grok Bot has a persistent cloud computer and an app connector system. Its documented installation flow is Settings → Plugins → Add, followed by authentication and an @ mention in a task. Use that route if an AveryIQ plugin is available to your account. A launched MCP server does not itself imply a plugin-catalog listing. Grok Bot connection documentation.
Grok Bot
Use an available plugin, or run the API bridge below from the Bot's cloud computer. This guide uses the bridge.
Grok.com
Add a custom MCP connector through the web chat connector flow. This is a separate setup surface.
Your own application
Call the xAI Responses API from your backend and supply AveryIQ as a remote MCP server.
For Grok.com, open Connectors, choose New Connector → Custom, enter your AveryIQ MCP URL, and complete authentication. On Business and Enterprise, an administrator first provisions it in the xAI console under Grok Business → Connectors → Add Connector → Other. These steps are documented for Grok.com; they are not instructions for adding a custom URL in Grok Bot's Plugins screen. Custom connectors; team administration.
2. Collect your AveryIQ connection details
Obtain your MCP connection details from your AveryIQ administrator or the AveryIQ team. Use the supplied URL exactly, including its path. An AveryIQ web-portal URL is not an MCP endpoint.
- MCP endpoint: the hosted HTTPS URL reachable by the integration.
- Authentication: the supported connection flow and a credential scoped to the intended organization and properties.
- Tool catalog: exact names and schemas for the read operations you need. Availability comes from your connection, not from this article's example workflows.
- For the API bridge: an xAI API key, API billing access, a model supporting remote MCP, and a JavaScript runtime with fetch. The example uses Bun.
Keep the xAI key and AveryIQ credential separate. The first authenticates the model request; the second authorizes access to your property data. Supply secrets through an approved runtime secret store. Never put them in a saved prompt, shared skill, repository, or ordinary chat.
Grok Bot's files, browser sessions, and command-line credentials are shared across your account's Bots. Give the integration only the access appropriate for that shared environment. Use its secure authentication handoff where available. Credential and account boundaries.
3. Inspect tools before granting access
Connect an authenticated MCP client to the AveryIQ endpoint and inspect its tool catalog. MCP exposes discovery through tools/list; each definition includes a name and input schema. Follow discovery pagination, and inspect required arguments before making a call. Your MCP client handles session initialization and transport negotiation. MCP tool specification.
Select the smallest set of tools needed to identify a property and read its maintenance records. Record the exact names in your bridge configuration. Do not infer tool names from REST paths or grant a generic execution tool access to every operation simply because the first prompt asks for a report.
Review tool behavior as well as names. A read-only annotation describes intent; it does not replace permissions. Configure read-only access on the AveryIQ side so an unexpected model instruction cannot turn a reporting connection into a write-capable one.
4. Run an xAI API bridge from Grok Bot
This recipe combines Grok Bot's ability to run commands with xAI's remote MCP API. It is a custom integration, not a native Grok Bot configuration file. The request travels from the Bot's computer to xAI, which connects to AveryIQ and returns a response.
Remote MCP supports HTTP streaming and SSE. In Responses requests, use allowed_tools; the native xAI SDK calls this allowed_tool_names. An empty allowlist permits all tools, so the example rejects it. The API does not support require_approval or connector_id. Enforce write restrictions in AveryIQ and your integration. xAI remote MCP reference.
Configure AVERYIQ_MCP_URL with your supplied endpoint, AVERYIQ_READ_TOOLS with comma-separated reviewed tool names, and XAI_MODEL with a compatible model available to your API account. AVERYIQ_MCP_AUTHORIZATION is the complete authorization value required by your connection, including a Bearer prefix when applicable. For OAuth, your credential manager must obtain and refresh the access token; this short script does not implement an OAuth flow. Never substitute an AveryIQ login password.
// Save as averyiq-briefing.mjs. Run with: bun averyiq-briefing.mjs
// Inject credentials through your runtime's secret manager.
function required(name) {
const value = process.env[name]?.trim();
if (!value) throw new Error("Missing configuration: " + name);
return value;
}
const endpoint = new URL(required("AVERYIQ_MCP_URL"));
if (endpoint.protocol !== "https:") throw new Error("MCP requires HTTPS");
const allowedTools = required("AVERYIQ_READ_TOOLS")
.split(",").map((name) => name.trim()).filter(Boolean);
if (!allowedTools.length) throw new Error("Select reviewed read-only tools");
const response = await fetch("https://api.x.ai/v1/responses", {
method: "POST",
signal: AbortSignal.timeout(120_000),
headers: {
Authorization: "Bearer " + required("XAI_API_KEY"),
"Content-Type": "application/json",
},
body: JSON.stringify({
model: required("XAI_MODEL"),
input: "Read the authorized AveryIQ properties and summarize their " +
"open maintenance work. Include record IDs and retrieval time. " +
"Identify missing data. Do not change records or contact anyone.",
tools: [{
type: "mcp",
server_label: "averyiq",
server_url: endpoint.href,
authorization: required("AVERYIQ_MCP_AUTHORIZATION"),
allowed_tools: allowedTools,
}],
}),
});
if (!response.ok) throw new Error("xAI HTTP " + response.status);
const result = await response.json();
// Inspect tool results and errors as well as the generated summary.
// Output may contain resident data: keep it in your private workspace.
console.log(JSON.stringify(result, null, 2));Install Bun on the execution computer if it is not already available, save the script in a private project folder, and run bun averyiq-briefing.mjs with the configured environment. In Grok Bot, keep the reviewed script under a dedicated folder such as /workspace/averyiq. Ask the Bot to run that script and summarize its output. Confirm the runtime and secrets are available on the cloud computer, not only on your laptop.
The bridge sends returned property data to xAI for processing and incurs API usage. Review that data flow and your account's billing before scheduling it. Limit returned fields and date ranges to the briefing's purpose; avoid exporting complete resident profiles.
5. Verify the connection with a real read
A successful HTTP response alone does not prove the Bot read the right portfolio. Run a bounded query against one known property and compare the result with the same records in AveryIQ.
Use the AveryIQ connection to prepare a maintenance briefing.
Scope: [organization and property IDs]. Time zone: America/Chicago.
Read current records; include the retrieval time and record IDs.
Group open work by property, urgency, and days since the last update.
Separate reported symptoms from your recommendations.
If a result is paginated, retrieve every page within the agreed scope.
If data is unavailable or access is denied, name the gap and stop there.
Do not contact residents or vendors, spend money, or modify records.- Check which tool actually ran, its arguments, and whether its result contains an error or an approval requirement.
- Match returned property and work-order IDs to AveryIQ. Verify status, date range, and pagination before trusting counts.
- Distinguish no matching records from denied access, missing tools, or an incomplete query.
- Confirm the connection's permissions exclude writes. Use a test environment for any later mutation or approval-flow testing.
For future write workflows, require a reviewable proposal with the target record, exact change, and expected effect. A pending approval is not a completed action. After a timeout, inspect the resulting record before retrying a write so a retry cannot silently duplicate work.
6. Turn a verified briefing into a routine
Once the one-time task works, ask Grok Bot to save its method as a skill, then create a routine with an explicit owner, schedule, time zone, and failure behavior. Test the routine before leaving it unattended; a test run executes real work. Grok Bot skills and routines.
Every weekday at 8:00 AM America/Chicago, run the reviewed
AveryIQ maintenance briefing for [property IDs].
Return record IDs, retrieval time, and items needing my decision here.
If authentication fails or results are incomplete, report the failure.
Never present yesterday's results as current.
Do not send messages, dispatch vendors, or change AveryIQ records.Maintenance triage
Group accessible open work orders by urgency and age; prepare questions for the manager to review.
Lease review
If lease-reading tools are enabled, identify expirations in a defined date window and draft a review list.
Owner updates
If reporting tools are enabled, summarize a specified property's reporting period and link the supporting records.
Choose one system to own each scheduled workflow. If Avery already handles a follow-up inside AveryIQ, give Grok Bot a complementary reporting task to avoid duplicate outreach. Avery is AveryIQ's built-in coworker; Grok Bot is an external client of your connection.
7. Troubleshoot by connection layer
- 401 or 403
- Identify which service rejected the request. Check xAI API credentials separately from the AveryIQ authorization value, token expiry, organization scope, and permissions.
- Connection fails before tools appear
- Check the exact HTTPS endpoint, TLS, public reachability from xAI, and supported transport. A local stdio command or a portal sign-in page is not a remote MCP endpoint.
- Tool missing or arguments rejected
- Refresh authenticated discovery, compare the exact allowed tool names, and validate arguments against the current input schema. Do not invent a replacement operation.
- HTTP succeeds but the answer is incomplete
- Inspect tool-level errors and response status. Check filters, page limits, property IDs, and missing permissions; do not turn partial results into a portfolio-wide claim.
- Rate limit or timeout
- Reduce the property/date scope and use bounded backoff for reads. Stop and report persistent failures. Inspect state before retrying any future write-capable workflow.
- Works manually, fails on a schedule
- Check the cloud runtime, working directory, secret availability, credential refresh, routine time zone, and current tool permissions.
To disconnect, pause related routines, remove the plugin or bridge, revoke the AveryIQ credential, and remove sensitive saved output. Deleting a Bot alone does not remove the account's shared files or browser sessions. Removing access and working data.
Primary sources
Vendor information was reviewed on September 16, 2026. Pricing and plan contents can change; confirm final terms with each vendor.
Evaluate AveryIQ for your portfolio
See the current plans or talk through accounting, leasing, maintenance, and automation requirements with the AveryIQ team.