MCP server

Rumoro Official

dev.rumoro/mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Track what people say about your product on Reddit, X, Hacker News, GitHub and more

Website Source

At a glance

Type

MCP server

Publisher

rumoro.dev (verified by the MCP Registry)

Status

Working at last check

Tools

57

Token cost

About 43,103 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http rumoro https://mcp.rumoro.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.rumoro]
url = "https://mcp.rumoro.dev/mcp"

Gemini CLI

{"mcpServers":{"rumoro":{"httpUrl":"https://mcp.rumoro.dev/mcp"}}}

Cursor

{"mcpServers":{"rumoro":{"url":"https://mcp.rumoro.dev/mcp"}}}

VS Code

{"servers":{"rumoro":{"type":"http","url":"https://mcp.rumoro.dev/mcp"}}}

Antigravity

agy mcp add rumoro https://mcp.rumoro.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"rumoro","server_url":"https://mcp.rumoro.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"rumoro","server_url":"https://mcp.rumoro.dev/mcp"}

Tools

• add_keyword ~2758 tokens
  Creates a keyword to track. kind is "brand" (default), "competitor" or "topic". platforms limits where it runs, all by default. New posts with the term are matched, classified and delivered. To narrow a common word, set `matching` (requiredTerms with requiredMode any or all, excludedTerms with a `*`
• create_alert ~3919 tokens
  Creates an alert. mode "instant" sends each matching mention as it arrives. "hourly" sends a digest of the previous UTC hour at five past, skips hours with no mention above the minimum, and takes no schedule and no email channel (only Slack, Telegram and webhooks). "daily" sends one digest at schedu
• create_group ~621 tokens
  Creates a keyword group with a name that is unique in the workspace. You can add externalId, your own unique id such as a client id. You can also add context, a company description saying who the business is, what it sells and to whom. The classifier reads it instead of the whole workspace profile,
• create_segment ~1154 tokens
  Saves an audience segment with a name and a filter. The filter can use platforms, tags, follower range, minimum mentions or negative mentions, intents, keyword kinds the person did or did not mention, first seen within N days, and linkHosts they linked to. Members are worked out on each read, not st
• create_view ~4189 tokens
  Saves a view with a name and a filter. The filter uses the fields of search_mentions, such as keywords or keyword kinds, platforms, status, relevant, sentiments, intents, languages, author tags, follower range, replies, link hosts, automated and free text. A list matches any value, a `not` list matc
• delete_activity Deletes data · ~126 tokens
  Deletes an outreach activity that was logged by mistake. The person keeps the same owner and stage.
• delete_alert Deletes data · ~108 tokens
  Deletes an alert. Its channels remain and other alerts can use them. This cannot be undone. To keep the alert, disable it with update_alert enabled=false instead.
• delete_group Deletes data · ~113 tokens
  Deletes a keyword group and all of its keywords, each as delete_keyword would, mentions included. The default group cannot be deleted. The answer says how many keywords were deleted.
• delete_keyword Deletes data · ~150 tokens
  Stops monitoring a keyword and deletes its mentions, but keeps a post that another keyword also matched. Alerts that named it drop it, and an alert that named only this keyword is disabled instead of widening to all keywords. This cannot be undone. Muting with update_keyword muted=true keeps the men
• delete_segment Deletes data · ~84 tokens
  Deletes a saved segment. The people in it are not changed.
• delete_view Deletes data · ~76 tokens
  Deletes a saved view and leaves its mentions untouched.
• dismiss_attention ~97 tokens
  Moves an attention item (att_... from list_attention) out of the open list for as long as its condition lasts.
• duplicate_keyword ~383 tokens
  Creates a new keyword with an existing keyword's settings. Give the new term, or the same term with another groupId, since a group tracks a term once. It copies the kind, platforms, context, every matching rule, the monthly mention cap and the comments setting. Review pages and feeds are copied only
• get_alert ~89 tokens
  Fetches an alert by id. Includes delivery stats as well as its filter, mode, schedule and channels.
• get_analytics_breakdown ~684 tokens
  Returns a table grouped by `by`. That is platform, keyword, sentiment, intent, status (open, ignored, done), hour (weekday and hour in timezone, to see when people post) or person (the most active authors, with followers). Each row has matched, relevant, its percentage of the period, a sentiment spl
• get_analytics_series ~672 tokens
  Counts matched, relevant and sentiment mentions per day or week (bucket, days by default up to 90 days). Returns one "total" series, or splits by="platform" or by="keyword" (top 20, rest as "other"). Period options match get_analytics_summary. compare=true adds `previous`, the prior period, aligned
• get_analytics_summary ~584 tokens
  Returns summary counts for a period. Covers matched and relevant mentions, unique posts and people, sentiment, buying intent, questions, reach and triage. Reach sums followers where known. Triage gives open, ignored and done counts, mentions waiting over 24h, handled rate and median time to done. Se
• get_company ~104 tokens
  Returns the company profile the classifier reads, with name, description, use cases, own accounts and the context text built from them for relevance scoring. A group with its own description replaces that text for its keywords (see list_groups).
• get_filters ~111 tokens
  Returns the workspace noise rules that run before any mention is stored, for every keyword. They exclude terms, authors and GitHub repositories, and allow or block subreddits. Rejected posts are never classified, sent or billed. Keywords add their own `matching` rules.
• get_group ~77 tokens
  Returns a keyword group by id, with its number of keywords.
• get_keyword ~109 tokens
  Fetches a keyword by id. Returns its setup (term, kind, platforms, matching rules, context, monthly cap, pausedForCap), its stats and how polling goes on each platform.
• get_keyword_health ~354 tokens
  Checks whether a keyword earns its cost, over range 7d, 30d or 90d (default 30d). Returns a status with plain-word reasons. noisy is 20+ scored matches with under 30% relevant, quiet is 7+ days old with nothing relevant, new is under 7 days old, and the rest are healthy, capped or paused. Also retur
• get_mention ~92 tokens
  Fetches one mention, classification included (relevance, sentiment, intents, confidence, uncertain, note).
• get_mention_stats ~228 tokens
  Returns mention counts for the past N days (7 by default), by platform and by sentiment. You can limit it to one platform or keyword. Mentions without a score are counted under the sentiment "unclassified".
• get_person ~177 tokens
  Returns one person from your audience with their counts, your tags, notes and mute, and their outreach status (owner, stage, last contacted). It also has their public profile where the platform shows one, with bio, company, location, website and linked accounts. profile.email is always null here. Gi
• get_reviews_report ~592 tokens
  Reports on the reviews your keywords collect from the App Store, Google Play, Trustpilot and Google over a period. Includes totals (reviews, average stars, star distribution, replies, open 1 and 2 star reviews), tags from unhappy reviews, and each review page's average stars per day or week (bucket)
• get_share_of_voice ~528 tokens
  Compares your brand with competitors. Returns each keyword with matches in the period, with matched, relevant, negative and buy-intent counts and its percentage of all brand and competitor matches. Topics are counted but not part of the split. The period works as in get_analytics_summary. compare=tr
• get_usage ~123 tokens
  Shows whether tracking is stopped or the balance is low, with the prepaid balance (ledger, pending mention charges, effective), daily spend and days left, running and balance-paused keywords, and matches today and over 30 days. Pricing is $0.008 per matched mention and $5 a month per active keyword,
• get_usage_breakdown ~526 tokens
  Usage and charges for a period in US cents at list price, grouped by one `by` per call. keyword (default) gives days charged, mentions billed and totalCents per keyword, with deleted keywords marked keyword.removed=true. platform and day also work. Pick a trailing `range` (7d, 30d or 90d, default 30
• list_activities ~156 tokens
  Shows who on the team has contacted a person, latest first. Each entry has the member, the channel, the time and a note. Channels are email, x, linkedin, bluesky, reddit, github, call, meeting and other. Look at this and the outreach owner before contacting someone, so teammates don't double up.
• list_alerts ~70 tokens
  Returns every alert with its filter, mode, schedule and channels. The mode is instant, or hourly, daily or weekly for a digest.
• list_attention ~382 tokens
  Lists items that need a person, latest first. Kinds are mention.spike (mentions jumped in the last hour), sentiment.negative_spike (24-hour negative share jumped), keyword.noisy (turned noisy) and channel.failing (recent sends all failed). Checks run hourly, and items resolve when the condition ends
• list_channels ~82 tokens
  Lists alert destinations (Slack channels, Telegram chats, email lists, webhooks). Connect Telegram chats in the dashboard under Settings, Integrations. The API can't.
• list_groups ~157 tokens
  Lists the workspace's keyword groups, the default first. Groups organize keywords, for example by client, campaign or product. Every keyword is in one group, a group can hold a term once, and get_usage_breakdown with by=group shows each group's cost. externalId finds the group with your own id.
• list_keywords ~867 tokens
  Lists the workspace's keywords with stats, polling status, matching rules and context, plus `total`. With no arguments you get all keywords, latest first. q searches the term and context. You can filter by kind, status (active, muted by someone, paused for balance, noisy when the noise brake paused
• list_ledger ~185 tokens
  Shows the prepaid balance's history, latest first. Entries cover the welcome credit, top-ups, refunds, adjustments, and the daily keyword-day and mention debits. Debits carry their UTC settlement day and cumulative units. Cursor pages, limit up to 100. Funds are added on the dashboard's billing page
• list_members ~80 tokens
  Lists workspace members with their role (owner, admin, member), email and user id. Use the user id for assigneeId in update_mention and ownerId in update_person.
• list_mention_comments ~200 tokens
  The comments under a mention's post, newest first, whether or not each names your keyword, with a light sentiment and intent read and mentionId when a comment is itself one of your mentions. Filled for new relevant mentions of keywords with comments on, from 30 minutes after the post.
• list_people ~1333 tokens
  Lists the authors of mentions of your keywords. Each has name, profile, platform, how many posts matched and how many scored relevant, sentiment split, first and last seen, and outreach status (owner, stage, last contacted). You can filter by platform or name, find one person by handle or profile li
• list_segments ~112 tokens
  Lists your saved audience segments, which are named people filters such as "Large accounts" or "Open to switching", with the current number of people in each. Also returns presets you can save with create_segment. To see who is in a segment, pass its id to list_people.
• list_views ~84 tokens
  Lists your saved views, which are named mention filters such as "Bug reports" or "Waiting on us". Pass a view's id as viewId to search_mentions to get exactly what it shows.
• log_activity ~374 tokens
  Logs that someone on the team contacted a person, for example by email, direct message or call. A not_contacted person moves to contacted, and a person with no owner gets the contacting member as owner. A later stage or an existing owner stays, and update_person changes them. memberId falls back to
• merge_people ~152 tokens
  Tells your workspace that two accounts are the same individual by merging account `id` into person `into`. Their mentions, tags and notes are combined, and the merged account appears among the person's platforms.
• mute_authors ~267 tokens
  Adds authors to an alert's muted list and keeps the rest of the filter. Entries can be profile or post links, @handles, u/names, Bluesky DIDs or display names. Links are stored as the author's profile. Authors already on the list are skipped, and entries that don't name a person are refused.
• search_mentions ~5384 tokens
  Searches the workspace's mentions. You can filter by keyword, platform, status (open, ignored, done), relevant, minimum relevance, minimum confidence (0 to 1), sentiment, intent, text (q, in the post or the author's name) and time range (ISO 8601). You can also filter by one person (personId from li
• split_person ~93 tokens
  Reverses a merge, so the account is a separate person again in your workspace.
• unmute_authors ~238 tokens
  Takes authors off an alert's muted list and keeps the rest of the filter. Each entry can be the stored value or a link to the person's profile or posts. Authors not on the list are skipped.
• update_alert ~3724 tokens
  Changes an alert's name, enabled, mode, schedule, filter or channelIds. filter and channelIds are replaced in full.
• update_company ~473 tokens
  Changes the company profile (name, description, useCases, accounts) or sets the classifier context yourself. Profile changes rebuild the context, and a context you set applies until the next profile change. The context affects relevance scores more than anything else, so keep it accurate and specifi
• update_filters ~461 tokens
  Changes the workspace filters. These are excludedTerms (`*` at either end is a wildcard), excludedAuthors (links, handles or names), excludedRepos (owner/name or a github.com link), subreddits.only (allowed subreddits, and when set, excluded is ignored) and subreddits.excluded. Every list is optiona
• update_group ~539 tokens
  Changes a keyword group's name, its externalId or its company description in context. Null clears externalId. Null clears context too, so the workspace profile applies again, and new mentions use the change right away. The default group can be renamed but takes no description, because it is the work
• update_keyword ~2629 tokens
  Changes a keyword. You can rename it with term: the new term is tracked from now on, with no look-back, and the keyword keeps its id, settings and what the old term found. You can set its platforms (a list, or null for all), mute or unmute it, change its kind, or set its classifier context (null cle
• update_mention ~638 tokens
  The only way to change a mention. Set status to "ignored" when it is not interesting, "done" when handled, or "open" to reopen it. Assign it with assigneeId, or null to remove the assignment. Hide it from the feed until an ISO 8601 time with snoozedUntil, or null to bring it back. Add a team note wi
• update_person ~309 tokens
  Changes your workspace's details on a person. You can set their full tag list, notes, mute, the outreach owner (ownerId, a member's user id, or null to remove) and stage. Muting hides their posts from the feed and all channels. Collection and billing do not change.
• update_segment ~1135 tokens
  Changes a saved segment's name, description or filter. `filter` sets the full new filter.
• update_view ~4043 tokens
  Changes a saved view's name, description or filter. `filter` sets the full new filter.
• whoami ~108 tokens
  Returns the workspace this credential works in, the kind of credential (an API key or an OAuth sign-in), whether it can write, and the signed-in user if there is one. Call it once when a session starts, to name the workspace and learn whether write tools will work.

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