Monitor brand mentions, sentiment and intent across 16 social platforms with AI classification
Tracks your brand, competitors and topics across Twitter, LinkedIn, Reddit, TikTok and 12 other platforms. Classifies mentions by relevance, sentiment and buying intent. Saves audience segments, creates alerts, and reports share of voice against competitors.
Try asking Muse: "Show me negative mentions about our product from influencers in the last week and assign them to my team"
Source: Found in the official MCP Registry (dev.mentio/mcp) · First listed October 28, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 3 h ago.
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.
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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://mcp.mentio.dev/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Mentio is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
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.
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
In Claude, open Settings, then Connectors.
Choose Add custom connector, give it a name, and paste the link.
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://mcp.mentio.dev/mcpResponse time at the last check: 367ms. Worked in 100% of checks over 30 days.
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.
list_segmentsYour saved audience segments (named filters such as "Influencers" or "Switch prospects"), each with the number of people in it right now, plus presets you can save with create_segment. Pass a segment id to list_people to see its members. With groupId, the segments saved in that kcreate_segmentSave an audience segment: a name plus a filter (platforms, tags, follower range, minimum mentions or negatives, intents seen, keyword kinds mentioned or never mentioned, first seen within N days, linkHosts they have shared a link to). Evaluated on every read, never materialized. update_segmentRename, describe or refilter a saved segment. `filter` replaces the whole filter. A segment saved in a keyword group is found with that groupId.delete_segmentDelete a saved segment. Nobody in it is affected. A segment saved in a keyword group is found with that groupId.list_viewsYour saved views (named filters over mentions such as "Negative about us" or "Needs a reply"). Pass a view id as viewId to search_mentions to read exactly what it selects.create_viewSave a view: a name plus a filter in the vocabulary of search_mentions (keywords or keyword kinds, platforms, status, relevant, sentiments, intents, languages, author countries, author tags, follower range, replies, link hosts, automated, organization, free text), lists any-of, `update_viewRename, describe or refilter a saved view. `filter` replaces the whole filter.delete_viewDelete a saved view. No mention is affected.list_groupsThe keyword groups of the workspace, the default first: how keywords are grouped (a customer, a campaign, a product). A term may be tracked once per group; every keyword belongs to one; get_usage_breakdown by=group says what each cost. externalId finds the group carrying your ownget_groupOne keyword group by id, with how many keywords it holds.create_groupCreate a keyword group: a name (unique per workspace), optionally your own id for it (externalId, unique too, a customer id say), and optionally its own company description (context: who the business is, what it sells, for whom), which the classifier reads in place of the whole wupdate_groupRename a keyword group, change your id for it (externalId, null clears) or its company description (context, null clears: the workspace profile applies again; new mentions are judged with it at once). The default group can be renamed but takes no description: it is the workspace delete_groupDelete a keyword group and EVERY keyword in it (each as delete_keyword does: its mentions go with it). The default group cannot be deleted. Says how many keywords went.search_mentionsSearch tracked mentions for your organization. Filter by keyword, platform, status (open, ignored, done), relevant, minimum relevance, minimum confidence (0 to 1), sentiment, intent, free text (q, the post text or the author name), time range (ISO 8601), one person (personId fromget_mentionFetch a single mention by id, including its classification (relevance, sentiment, intents, confidence, uncertain, note).list_mention_commentsThe comments under a mention's post, newest first: the whole thread, whether or not each comment names the keyword, each with its author, text, time, engagement, a light sentiment and intent read, and mentionId when the comment is itself one of your mentions. Filled from 30 minutupdate_mentionThe one write on a mention: status "ignored" (not interesting) or "done" (handled), "open" to put it back; assign it to a workspace member (assigneeId, null to unassign); snooze it out of the feed until an ISO 8601 instant (snoozedUntil, null to wake it); leave an internal note (add_keywordStart tracking a keyword. kind is "brand" (default), "competitor" or "topic". platforms optionally restricts it to some platforms (default: every platform). New mentions containing the term will be matched, classified and delivered. A multi-word term also matches a post holding iupdate_keywordChange a keyword: rename it (term: the new term is tracked from now on, with no look-back; the keyword keeps its id, its settings and what the old term found), the platforms it is tracked on (platforms: a list, or null for every platform), mute or unmute it, reclassify it (kind),duplicate_keywordCreate a new keyword with an existing one's settings: give the new term (or the same term with another groupId, since a term is tracked once per group). It copies the kind, platforms, context, every matching rule, the monthly mention cap and the comments setting; review apps and list_feedsThe RSS and Atom feeds the WORKSPACE reads (forums, communities, blogs): every keyword with readsWorkspaceFeeds (the default) gets an item of one of these feeds as a mention when the item holds its term, with its matching rules, billed like any mention. Each feed with when it wasadd_feedsConnect RSS or Atom feeds to the workspace, up to 100 at a time (the workspace reads at most 500): each url is a feed's address, or a page's (a forum, a community, a blog) whose advertised feed is used. Every keyword reading workspace feeds then gets the feed's items holding its update_feedRename a workspace feed (title; null clears it) or set its sign-in for a members-only forum (auth: { type: 'cookie', value } with the Cookie header the person's signed-in browser sends, or { type: 'header', name, value }). A sign-in is checked by reading the feed with it (feed_lodelete_feedStop the workspace reading a feed (fd_..., from list_feeds). Its mentions stay; keywords that name the same feed in their own feeds keep reading it.get_analytics_summaryHeadline counts for a window: matched and relevant mentions, distinct posts and people, sentiment split, buying intent and questions, estimated reach (followers of the people whose count is known), and triage (open, ignored, done, waiting over 24h, handled rate, median time to doget_analytics_seriesMentions over time: one point per day or week (bucket; default day up to 90 days) with matched, relevant and sentiment counts, as a single "total" series or split with by="platform" or by="keyword" (top 20, the rest as "other"). Same window parameters as get_analytics_summary; coget_analytics_breakdownOne table grouped by a dimension `by`: platform, keyword, sentiment, intent, status (open, ignored, done), hour (weekday and hour of day in timezone, for "when do people talk"), person (who posted most, with followers), language (ISO 639-1), country (where the authors are, ISO 31get_share_of_voiceBrand against competitors: every keyword matched in the window with matched, relevant, negative and buy-intent counts and its share of brand plus competitor matches in percent (topics are counted but stay out of the split). Same window parameters as get_analytics_summary; compareget_reviews_reportThe reviews report: App Store, Google Play, Trustpilot and Google reviews the keywords collect, over a window. Totals (reviews, average stars, 1-5 distribution, replies, open 1-2 star reviews), the tags on the unhappy reviews, and one row per review page with its average stars pelist_alertsList alert rules: what each watches (filter), whether it fires instantly or as an hourly, daily or weekly digest (mode, schedule), and which channels it sends to.get_alertOne alert rule by id: its filter, mode and schedule, channels and delivery stats.delete_alertDelete an alert rule. Its channels stay and can serve other rules. Irreversible; disabling it (update_alert enabled=false) keeps the rule.list_channelsList the channels alerts can be sent to: Slack channels, Telegram chats, email address lists, webhooks. Telegram chats connect from the dashboard (Settings, Integrations), not through the API.list_attentionWhat needs a person right now, newest first: a keyword whose mentions spiked in the last hour (mention.spike), whose negative share of the last 24 hours jumped (sentiment.negative_spike), that turned noisy (keyword.noisy), or a channel whose last sends all failed (channel.failingdismiss_attentionDismiss an attention item (att_... from list_attention): it leaves the open list and does not come back while its condition lasts.create_alertCreate an alert rule. mode "instant" sends each matching mention as it happens; "hourly" sends one digest every UTC hour (five minutes past) for the previous hour, nothing when it had no mention over the floor, takes no schedule and no email channel (Slack, Telegram, webhook); "dupdate_alertChange an alert: name, enabled, mode, schedule, filter (replaces the whole filter) or channelIds (replaces the whole list).mute_authorsMute authors on an alert without touching the rest of its filter. Accepts profile or post links, @handles, u/names, Bluesky DIDs or display names; a link is stored as the author's profile. Already muted authors are skipped; an entry that names no person is rejected.unmute_authorsUnmute authors on an alert without touching the rest of its filter. Name each by the stored entry or any link to that profile or its posts; authors that are not muted are ignored.list_keywordsThe tracked keywords of your organization with their stats, poll health, matching rules and context, plus `total`. Without arguments: every keyword, newest first. Search the term and context (q), narrow by kind, status (active, muted by a person, paused by the wallet, noisy: paushttps://mcp.mentio.dev/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Mentio to help me. It is a free service with an MCP server at https://mcp.mentio.dev/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.
At the last check (October 29, 2026, 09:15 UTC) the endpoint was working, answering in 367ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on October 28, 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.
It exposes 40 tools, including list_segments, create_segment, update_segment, delete_segment. For example, you could ask Muse: "Show me negative mentions about our product from influencers in the last week and assign them to my team"
This listing was added from public sources (Found in the official MCP Registry (dev.mentio/mcp)). If you build Mentio, claim it to correct the details and get your badge.
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