Mencoro

Give an organization member another role: owner, manager or viewer. memberId is the member id from list_members, not the user id. Requires a confirmationToken: call preview_operation with tool "change_member_role" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees. Needs the organization:manage permission and the owner role.

change_member_role

Check tracked queries now instead of waiting for their schedule: name up to 100 in trackedQueryIds, or pass all: true for every active tracked query of the project, however recently it was checked (a query whose check is still running is skipped). Each check spends budget (each pass counts as one check; a Claude pass counts as five). Requires a confirmationToken: call preview_operation with tool "run_checks" and these arguments first, show the returned plan (which checks run, what they cost) to the user, and call this tool only after the user explicitly agrees. Results arrive over the next minutes; read them with the analytics tools.

run_checks

The domains (groupBy=domain) or pages (groupBy=page) most cited across a project's AI answers in a date window — the sources the answer engines drew on. Per source: how many times it was cited, how many distinct answers and tracked queries it appeared in, and its average rank within the citation lists. The list is UNFILTERED by ownership: it includes the brand's, competitors' and third-party sources. Only AI answer engines (chatgpt, claude, perplexity, google_ai_overview, google_ai_mode) produce citations. Dates must fall within the data retention window. Answers questions like "which websites and pages does the AI cite or quote for me versus competitors".

get_cited_sources

For the AI answers where the brand and a competitor are BOTH mentioned, compares who is named higher. One row per tracked competitor: how many answers they co-appear in, how often the brand out-ranks / loses to / ties them (by best mention position), the win rate, the average positions, and one representative shared query. Optionally focus a single competitor via competitorId. Tracked competitors only. Dates must fall within the data retention window. Answers questions like "who wins when we both appear", "do I outrank competitor X", "who is mentioned first".

get_competitor_cooccurrence

Create a project that monitors a brand: its website domains, the brand names to look for, and optionally its competitors. Tracked queries are added afterwards with create_tracked_queries. Before calling it, propose everything to the user at once: brand names from suggest_brand_names, and competitors you suggest with their websites (no tool finds competitors; suggest_brand_names finds the names each one goes by). After the first checks, list_untracked_competitors shows other brands the answers name. Pass a fresh requestId and reuse it if you retry, so a retry never creates a second project.

create_project

Create a new organization, owned by the caller. Only with a Mencoro connection that is not limited to one organization. Requires a confirmationToken: call preview_operation with tool "create_organization" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees. Needs the organization:manage permission and the owner role.

create_organization

Create up to 100 query clusters in a project, the groups tracked queries are organized in. Names are stored lower-cased and must be unique in the project; each name that cannot be created is reported in "failed" without stopping the rest. Assign tracked queries with add_tracked_queries_to_clusters, or let start_auto_clustering propose groups. Pass a fresh requestId and reuse it if you retry.

create_clusters

Start tracking queries: every combination of queryTexts x engines x countries (at most 100) becomes a tracked query, checked now and then on checkFrequency with nPasses passes, each check spending budget. Combinations the project already tracks, repeated ones and Google AI Mode in unsupported countries are skipped and reported. Requires a confirmationToken: call preview_operation with tool "create_tracked_queries" and these arguments first, show the returned plan (what is created, what it costs) to the user, and call this tool only after the user explicitly agrees. Pass a fresh requestId and reuse it if you retry.

create_tracked_queries

Remove a competitor from a project, together with every mention, search result and shopping result recorded for it. Irreversible. Requires a confirmationToken: call preview_operation with tool "delete_competitor" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees.

delete_competitor

Delete a query cluster. Its tracked queries are not deleted; they only leave the cluster. Irreversible. Requires a confirmationToken: call preview_operation with tool "delete_cluster" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees.

delete_cluster

Delete up to 100 tracked queries, together with their captured answers, matches and metrics history. Irreversible; to stop spending budget without losing history, pause them with pause_tracked_queries instead. Requires a confirmationToken: call preview_operation with tool "delete_tracked_queries" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees.

delete_tracked_queries

Start a background job that proposes the questions people ask AI assistants about a topic in one country - the prompts worth tracking on AI engines. excludeQueries leaves out ones already tracked. Poll get_job for the result, review it with the user, then track the chosen ones with create_tracked_queries. Requires an active subscription.

discover_prompts

Start a background job that finds other names the project's brand and each of its existing competitors go by in AI answers and search results (aliases, product and store names). It does not find new competitors. Poll get_job for the result, show it to the user, and add the chosen names with update_project (the brand) or update_competitor (a competitor, by competitorId), passing the full list including the names already there. shoppingEnabled also looks at Google Shopping; country narrows to one market (ISO 3166-1 alpha-2).

discover_brands

Start a background job that proposes search keywords for a project from a seed (a topic, a product, a URL). excludeQueries leaves out ones already tracked. Poll get_job for the result, review it with the user, then track the chosen ones with create_tracked_queries. Requires an active subscription.

discover_keywords

The status and, once completed, the result of a background job started by discover_brands, suggest_brand_names, discover_keywords, discover_prompts or start_auto_clustering. Poll it every few seconds until status is "completed" or "failed"; do not start the job again while it is pending or running.

get_job

A project's name and status, the website domains and brand names it is monitored for, and all of its competitors with their ids (update_competitor and delete_competitor take them).

get_project

One tracked query's settings: its text, engine, country, status, check frequency, passes per check, clusters and when it was last checked. Find ids with search_tracked_queries.

get_tracked_query

The individual results behind one tracked query's metrics. kind "mention": each time the brand or a competitor was mentioned in an AI answer, with position, sentiment and the context it appeared in. kind "serp": each time one of their domains ranked in a search result, with its position. Newest first by default; dates are YYYY-MM-DD and default to the whole retention window.

get_tracked_query_matches

An organization's profile, its status, the caller's own role in it, and how many active members, projects and pending invitations it has. Use list_projects first to find the organizationId.

get_organization

Discover the engines, countries, keyword clusters and competitors configured on a project so subsequent metric tools can be called with valid filter values. Engines and countries are returned as {code, label} (e.g. {"code":"chatgpt","label":"ChatGPT"}, {"code":"US","label":"United States"}); clusters and competitors as {id, name}. Always pass the "code"/"id" (never the label/name) to the other tools' engines / countries / queryClusterIds / competitorId(s) parameters. Call this before filtering.

get_available_filters

An organization's subscription, how many tracked queries it has, and how many checks they are projected to run per month. Plan entitlements (tracked-query and check limits) are included for owners only, as in the web app; for other members "entitlements" is null. Use it before creating tracked queries or raising check frequency, to stay within the plan.

get_usage

Invite someone to the organization by email with a role (owner, manager or viewer); they get an email to accept. Inviting an address that already belongs to a member creates nothing and says so. Requires a confirmationToken: call preview_operation with tool "invite_member" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees. Needs the organization:manage permission and the owner role.

invite_member

The AI answers captured for a project's tracked queries - the full answer text, the engine, when it was captured, and the sources it cited. Filter by engine, by one tracked query, or by capture date (YYYY-MM-DD). Newest first by default. Use it to read what an engine actually said; for aggregates use the metric tools.

list_ai_responses

The search result pages captured for a project's tracked queries. kind "serp": Google search results with each result's position, title and URL. kind "shopping": Google Shopping results with each offer's position, merchant and price. Filter by one tracked query or by capture date (YYYY-MM-DD). Newest first by default.

list_search_snapshots

One row per tracked query text across all its engine and country variants, with its share of voice, positivity, mention, link, search and shopping positions over the date range (YYYY-MM-DD, inclusive). Filter by engine, country, cluster, status, check frequency, passes or text; sort by any metric. The keyword-level view of a project.

list_keyword_listings

The members of an organization, oldest first, with their role and state; optionally also its pending invitations. Owners only, as in the web app. The member "id" (not the userId) is what change_member_role, suspend_member and reactivate_member take.

list_members

List every organization the caller belongs to and its active projects. Call this FIRST: the returned (organizationId, projectId) pairs are required by every other tool.

list_projects

A project's query clusters (the groups its tracked queries are organized in), by name, with their ids.

list_clusters

Answer questions about Mencoro itself from its public guide: what it tracks, how a check runs, what counts as a mention, how Coverage, Favorability, share of voice, positions and stability are calculated, how checks, plans and frequencies work, reliability and limits, how to use this MCP server (permissions, confirmations), how to analyse results and find what to improve, pairing with Ahrefs, Semrush, Search Console or Google Analytics MCP servers, and the REST API. Call it without a topic for the index, then with the topic that answers the question. No account data; works without signing in.

get_mencoro_guide

Map a plain-language or unfamiliar request to the right Mencoro metric and tool. Returns each metric with its everyday synonyms, unit, value range, whether higher or lower is better, the tool that serves it, and example questions. Call this first when a request is vague, non-technical, phrased in another language, or uses wording that does not match a tool name. Static reference; no project data.

get_metric_glossary

Latest-snapshot rank-health board across all active projects in an organization: one row per brand (share of voice, mention rate, average mention position, positivity, tracked-query count) ranked by share of voice, plus an organization-level aggregate. This is a current-state snapshot and takes NO date window; for date-ranged comparison, call the per-project tools (e.g. get_project_rank_tracking_stats) for each project id returned here. Answers questions like "give me a company-wide summary of share of voice and sentiment across all my projects".

get_organization_overview

Pause up to 100 tracked queries: their checks stop until resume_tracked_queries restarts them, so they spend no budget meanwhile; use get_usage to see the effect. Checks skipped while paused are never made up later, and pausing also cancels a check still in progress. Each one that cannot be paused is reported in "failed". Safe to retry.

pause_tracked_queries

Describe exactly what a confirmable write tool would do and get the confirmationToken it requires. Pass the name of the write tool as "tool" and the arguments you would pass it (without confirmationToken and requestId) as "arguments". Show the returned plan to the user and wait for an explicit yes before calling the tool with the same arguments and this confirmationToken. The token is single-use, expires after a few minutes, and is refused if anything the plan describes has changed.

preview_operation

Aggregated rank-tracking summary for a project over a date window: average positions, trends, share of voice (own and per competitor), sentiment split, mention/SERP/shopping rates, and position-distribution buckets. This is the project overview; prefer it before the per-cluster or time-series tools. Dates must fall within the data retention window. Answers questions like "how visible is my brand", "am I ahead of competitors", "how positive is my coverage".

get_project_rank_tracking_stats

Start a background job that proposes how to group up to 500 tracked queries into clusters. mode "fill_gaps" places only queries that have no cluster yet; "add_on_top" adds clusters without touching existing memberships; "full_regroup" proposes a fresh grouping of every query. restrictToExistingClusters only uses the project's current clusters. Nothing changes until apply_auto_clustering: poll get_job, show the proposal to the user, then apply it. Requires an active subscription.

start_auto_clustering

Rank-tracking metrics broken down per keyword cluster for a project over a date window: one row per cluster with its positions, share of voice and sentiment. Dates must fall within the data retention window. Answers questions like "which keyword clusters are strongest or weakest" or "how does my niche compare to my generic queries".

get_cluster_breakdown

Time series of rank-tracking metrics for a project across a date window, bucketed by granularity (daily, weekly or monthly). Prefer weekly or monthly for long windows to keep the response compact. Optionally includes per-competitor lines. Dates must fall within the data retention window. Answers questions like "what changed in my AI visibility" or "show my share-of-voice trend split by engine".

get_rank_tracking_time_series

Give a suspended member their access to the organization back. memberId is the member id from list_members, not the user id. Requires a confirmationToken: call preview_operation with tool "reactivate_member" and these arguments first, show the returned plan to the user, and call this tool only after the user explicitly agrees. Needs the organization:manage permission and the owner role.

reactivate_member

Take up to 100 tracked queries out of one or more query clusters. Other cluster memberships are left alone. Removing also takes the tracked query's past results out of that cluster's reports until it is added back with add_tracked_queries_to_clusters. Each tracked query that cannot be changed is reported in "failed" without stopping the rest. Safe to retry.

remove_tracked_queries_from_clusters

Rename a query cluster. The name is stored lower-cased and must be unique in the project. Safe to retry.

rename_cluster