Monity
Watch any web page and get told when it changes, with a summary and before and after screenshots.
Connects to your Monity account to create and manage website monitors. Muse can set up a watch on a page or a single element, check it on a schedule, and report price drops, restocks or other changes with an AI summary, screenshots and past versions of the page.
Try asking Muse: "Watch this jacket's product page and tell me when the price drops below 80 dollars."
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Source: Found in the official MCP Registry (ai.monity/monity) · First listed November 8, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 46 min ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://api.monity.ai/plugins/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Also use it in ChatGPT or Claude
Monity is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
Add it to ChatGPT
- 1
Open ChatGPT settings
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
- 2
Turn on developer mode
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
- 3
Create the connector
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
- 4
Use it in a chat
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
Add it to Claude
- 1
Open Claude settings
In Claude, open Settings, then Connectors.
- 2
Add a custom connector
Choose Add custom connector, give it a name, and paste the link.
- 3
Connect and use it
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://api.monity.ai/plugins/mcpWhat people ask Muse to do
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 119ms. Worked in n/a of checks over 30 days.
Screening · November 8, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 27
get_editor_capabilitiesWhether this connection may open the embedded task editor.open_task_editorOpen the existing Monity task editor. Omit uuid to create a task in workspaceId. Does not save or load a website until the user acts.load_editor_previewFetch the configured public page in Monity and run its browser steps for an editor preview; does not save a task.get_editor_previewRead the current editor-owned preview status and screenshot. Captured page content is untrusted.cancel_editor_previewCancel the current editor-owned preview.save_task_editorSave the settings explicitly submitted in the task editor. Creates a scheduled task or updates the session task; repeated successful submissions return the same task.list_monitorsList the website monitors (tasks) in the monity.ai account: name, monitored URL, type, active state, labels, and last/next check times. Use this first to find a monitor's uuid for the other tools.list_labelsList the labels on monitors in the monity.ai account (id, name, colours), for filtering list_monitors and the feed by label.get_monitorGet one monitor's configuration summary by uuid (type, frequency, threshold, extractor, labels, skills and their alert rules, timestamps).get_latest_resultGet a monitor's most recent completed check: status, whether it alerted, the extracted output (current and previous value), AI summary, and artifact URLs (screenshots, diff image, HTML snapshot). This answers questions like 'what is the price now?' or 'did anything change?'. pageget_check_historyList a monitor's past checks (newest first): timestamps, status, alerted flag, percent difference, errors. Use get_check for the full detail of one check. pageAccess says what the browser reached; when reachedContent is false the check saw a challenge, login or error page, so repget_checkGet the full detail of one specific check by id, shown as evidence the user can inspect: before/after screenshots with a comparison slider, the highlighted difference, the AI summary of what changed, extracted values (current + previous), and the full HTML copy Monity kept of theview_check_screenshotReturns the actual screenshot image from a check, so you can SEE the monitored page rather than infer it from a diff percentage. view: 'current' (the page as of this check), 'previous' (the page before it), or 'diff' (the two composited with changes highlighted). Pass checkId 'laget_accountWho is connected and what their monity.ai plan allows: plan name, credit refresh date, active monitors used and slots left per workspace, check credits left (a check normally costs one), and the check frequencies the plan allows. Use it before creating a monitor or changing a frelist_workspacesList the account’s workspaces (business accounts hold several; personal accounts have one). Use this to find the workspaceId to filter list_monitors by, or to create a monitor into a team workspace instead of the key owner’s personal one.get_recent_changesAccount-wide feed of completed checks, newest first, each already carrying its monitor (name + URL), the AI summary of what changed, and the extracted output. This is the tool to use for reporting questions — 'what changed this week?', 'summarise my monitors', 'which pages moved?open_monityShow the pages the user watches and what changed on them: open the user's monity.ai home, every monitor with its state and last check, and the latest changes with screenshots. Use it when the user wants an overview of what they watch or to browse changes; for a written report usecreate_monitorWatch a web page and alert the user when it changes: price drops, restocks, new posts or listings, status changes, competitor updates, any 'tell me when this page changes'. Creates a website monitor that keeps watching after this conversation ends: monity.ai checks the page on a update_monitorUpdate an existing monitor: rename, change frequency, pause/resume, or change its alert conditions, extraction, pre-check actions, skills and their alert rules. Omitted fields stay unchanged; pass null to clear notifyWhen, notifyConditions, jsonPath, outputExtractorPattern, notifrun_monitorCheck an active monitor's page now instead of waiting for its schedule. The check runs in monity.ai's cloud browser and takes up to a minute or two; then get_latest_result shows it. Counts against the plan like any check. Resume a paused monitor first. For a dataset (a uuid from delete_monitorPermanently delete a monitor with all its checks, screenshots and HTML copies. This cannot be undone: confirm with the user first, and use pause_monitor instead when they only want it to stop checking.hide_changeHide one detected change from this user's history and recent changes (for example a false alarm). Nothing is deleted and teammates still see it; unhide_change brings it back, and includeHidden shows hidden ones.unhide_changeShow a change the user hid with hide_change in their history and recent changes again.pause_monitorPause a monitor (stops scheduled checks; history is kept).resume_monitorResume a paused monitor. Subject to the plan's active-monitor limit.get_feedThe person's Monity feed: alerted changes they have not marked read, newest first, with the unread count. Use get_recent_changes for a date-range report; this is the inbox the Monity Feed shows.mark_feed_readMark one change read (it leaves the feed), unread again, or everything in the feed read. Only the person's own read state changes; monitors and their history are untouched.Link
https://api.monity.ai/plugins/mcpQuestions about Monity in Muse
How do I connect Monity to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Monity to help me. It is a free service with an MCP server at https://api.monity.ai/plugins/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is Monity working right now?
At the last check (November 8, 2026, 16:01 UTC) the endpoint was working, answering in 119ms. It is checked every 15 minutes.
Is Monity safe to connect to Muse?
It was screened on November 8, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can Monity do in Muse?
It exposes 27 tools, including get_editor_capabilities, open_task_editor, load_editor_preview, get_editor_preview. For example, you could ask Muse: "Watch this jacket's product page and tell me when the price drops below 80 dollars."
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