What can you do with this server?

You can use the Mencoro MCP server to ask an AI assistant to inspect your brand’s AI/search visibility and to set up and tune Mencoro monitoring. * Read organizations, projects, competitors, filters, clusters, tracked queries, usage, coverage, and job status. * Analyze rank positions and trends, share of voice, sentiment, mention mix and samples, query movers, cluster breakdowns, time series, head-to-head co-occurrence, cited sources, captured AI answers, and search/shopping snapshots. * Manage projects, competitors, tracked queries, and clusters: create/update/archive/restore, bulk pause/resume/change frequency or passes, delete, assign to clusters, and run auto-clustering. * Run checks now, discover brands/keywords/prompts, suggest brand names, and report mis-analysed AI answers. * With organization:manage, create/update/archive/restore organizations and manage invitations, member roles, project access, suspension, and reactivation. * Use preview_operation plus confirmation tokens for confirmable/destructive writes, with read, write, and organization:manage scopes. * Access the public Mencoro guide without signing in; otherwise connect via hosted remote MCP or the local stdio bridge using OAuth or a personal access token.

Which integrations are available for this server?

Tracks brand presence across Google Search, Shopping, AI Overview, and AI Mode, providing metrics such as rank, mentions, sentiment, and Share of Voice. Tracks brand presence in ChatGPT AI answers, providing metrics such as rank, mentions, sentiment, and Share of Voice. Tracks brand presence in Perplexity AI answers, providing metrics such as rank, mentions, sentiment, and Share of Voice.

How do I use Mencoro MCP server?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Mencoro MCP server How is my brand performing in AI search results?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Mencoro MCP server

by mencoro

Overview Schema Source Related Servers Discussions Admin

TypeScript

Remote

Mencoro tracks how brands surface in AI answer engines — ChatGPT, Perplexity, Google AI Overview and AI Mode — and in Google Search and Shopping. The MCP server exposes that data to any MCP client, and lets it manage projects, tracked queries, clusters and organizations, as 67 tools (31 that read, 36 that change something) and 20 prompts. One of them, get_mencoro_guide, answers questions about Mencoro itself and works without signing in.

The server is hosted. Most clients should connect to it directly:

https://api.mencoro.com/mcp

This repository holds the public metadata for that server plus a small stdio bridge (@mencoro/mcp) for hosts that can only launch a local process. It does not contain the Mencoro application source.

Connect

Clients that speak remote MCP (recommended)

No install, no local process. Sign in with OAuth, or paste a personal access token as a header.

Client	How
Claude (web, Desktop, mobile)	Settings → Connectors → Add custom connector → paste the URL → Sign in. Or use the one-click link.
ChatGPT	Settings → Apps & Connectors → developer mode → add the URL → sign in.
Claude Code	`claude mcp add --transport http mencoro https://api.mencoro.com/mcp` then `/mcp` to sign in
Cursor	config below
VS Code	config below
OpenAI Codex	config below
Gemini CLI	config below
OpenCode	config below
Google Antigravity	config below

Clients that can only spawn a local process

Claude Desktop's manual configuration, and older stdio-only hosts, need a bridge. That is what this package is:

npx -y @mencoro/mcp

// claude_desktop_config.json
{
  "mcpServers": {
    "mencoro": {
      "command": "npx",
      "args": ["-y", "@mencoro/mcp"],
      "env": { "MENCORO_API_KEY": "mcp_pat_your_token" }
    }
  }
}

The token goes through the environment rather than an argument, so it does not appear in ps output and does not have to survive the host's argument splitting.

Related MCP server: MentionsAPI MCP Server

Authentication

Two ways in. Both carry the same three permissions, and neither can ever do more than your own role in an organization allows:

Scope	Allows
`read`	Every read tool. Always granted.
`write`	Creating, changing and deleting projects, competitors, clusters and tracked queries; running checks; starting discovery jobs.
`organization:manage`	Creating, renaming, archiving and restoring organizations; invitations; members' roles and suspension.

OAuth 2.1 — the one-click path. Supported by Claude, ChatGPT, Claude Code and any client that implements the MCP authorization spec. Nothing to copy or paste; revoke it from the app. The consent screen pre-selects the scopes the client asked for (all three when it asked for none), and you can untick any but read. The server advertises PKCE (S256), Client ID Metadata Documents, Dynamic Client Registration and RFC 9728 resource metadata, so clients discover everything they need from https://api.mencoro.com/.well-known/oauth-protected-resource/mcp. Calling a tool the connection lacks the scope for answers 403 insufficient_scope naming the scopes to request, so a client that supports step-up authorization asks you to reconnect with the extra permission.

Personal access token — for CLI clients, config files, and this bridge. Create one at tool.mencoro.com/me/mcp-server; it is shown once, starts with mcp_pat_, carries the permissions you tick (all three by default), and can be pinned to a single organization and given an expiry. Send it as Authorization: Bearer mcp_pat_…. A call the token lacks the permission for fails with a tool error naming it; a token cannot be upgraded, so create a new one to add a permission.

Connections and tokens created before write access existed have read and write but not organization:manage.

ChatGPT cannot send a custom Authorization header to a remote connector — use OAuth there.

Client configuration

{
  "mcpServers": {
    "mencoro": {
      "url": "https://api.mencoro.com/mcp",
      "headers": { "Authorization": "Bearer mcp_pat_your_token" }
    }
  }
}

{
  "servers": {
    "mencoro": {
      "type": "http",
      "url": "https://api.mencoro.com/mcp",
      "headers": { "Authorization": "Bearer mcp_pat_your_token" }
    }
  }
}

[mcp_servers.mencoro]
url = "https://api.mencoro.com/mcp"
http_headers = { "Authorization" = "Bearer mcp_pat_your_token" }

{
  "mcpServers": {
    "mencoro": {
      "httpUrl": "https://api.mencoro.com/mcp",
      "headers": { "Authorization": "Bearer mcp_pat_your_token" }
    }
  }
}

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mencoro": {
      "type": "remote",
      "url": "https://api.mencoro.com/mcp",
      "enabled": true,
      "headers": { "Authorization": "Bearer mcp_pat_your_token" },
      "oauth": false
    }
  }
}

oauth: false stops OpenCode negotiating OAuth against an endpoint that also advertises it, which would otherwise override the token you just configured.

{
  "mcpServers": {
    "mencoro": {
      "serverUrl": "https://api.mencoro.com/mcp",
      "headers": { "Authorization": "Bearer mcp_pat_your_token" }
    }
  }
}

{
  "mcpServers": {
    "mencoro": {
      "type": "http",
      "url": "https://api.mencoro.com/mcp",
      "headers": { "Authorization": "Bearer ${MENCORO_API_KEY}" }
    }
  }
}

Tools

31 tools read and 35 change something. Every tool declares all four MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) explicitly, so a client can decide what to ask you before calling it.

Reading

Every read tool needs only the read scope.

Tool	What it answers
`list_projects`	The organizations and active projects you can see. Call this first — every other tool needs the ids it returns.
`get_project`	One project's status, website domains, brand names and competitors with their ids.
`list_clusters`	A project's keyword clusters, by name, with their ids.
`get_available_filters`	Which engines, countries, keyword clusters and competitors a project actually has.
`get_metric_glossary`	Maps everyday wording ("visibility", "tone", "ranking") onto the right metric and tool.
`get_organization_overview`	Current-state board across every active project in an organization, ranked by Share of Voice.
`get_organization`	An organization's profile, status, your role in it, and its member, project and invitation counts.
`list_members`	An organization's members with their role and state, optionally with pending invitations. Owners only.
`get_usage`	The subscription, tracked-query count and projected monthly checks, against the plan's limits.
`get_project_rank_tracking_stats`	The project summary: positions, trends, Share of Voice per competitor, sentiment split, mention/SERP/shopping rates.
`get_rank_tracking_time_series`	Those metrics over time, bucketed daily, weekly or monthly, optionally per competitor.
`get_tracked_query_time_series`	The same history for one tracked query.
`get_query_movers`	The tracked queries that gained or lost the most versus the previous period.
`get_cluster_breakdown`	The same metrics broken down per keyword cluster.
`search_tracked_queries`	Search and paginate a project's tracked queries with their latest positions.
`get_tracked_query`	One tracked query's settings: text, engine, country, status, frequency, passes, clusters and last check.
`list_keyword_listings`	One row per query text across its engine and country variants, with every metric, sortable.
`get_tracking_coverage`	What is stale: paused, never-checked and overdue tracked queries.
`get_sentiment_breakdown`	Positive / neutral / negative split of your AI mentions, per engine and per competitor.
`get_mention_mix`	Mention counts by type, tone and qualifier — the inputs behind the Share of Voice weighting.
`get_mention_samples`	The raw AI mention texts, paginated and filterable, for qualitative review.
`get_share_of_voice_formula`	The weights and multipliers the Share of Voice score is built from.
`get_competitor_cooccurrence`	Head-to-head: when you and a competitor appear in the same answer, who is named higher.
`get_cited_sources`	The domains and pages the answer engines cited, with counts and average citation rank.
`list_ai_responses`	The captured AI answers themselves: full text, engine, capture time and cited sources.
`list_search_snapshots`	The captured Google Search and Shopping result pages.
`get_tracked_query_matches`	Every mention or ranking behind one tracked query's metrics.
`get_job`	Progress and result of a background job started by a discovery or clustering tool.
`preview_operation`	What a confirmable change would affect and cost, plus the one-time token to run it.
`list_untracked_competitors`	Brands the AI answers name that you do not track yet, most-seen first: the competitors worth adding.
`get_mencoro_guide`	The public Mencoro guide: how checks, mentions and every metric work, plans, reliability, this server, analysis advice, pairing with Ahrefs, Semrush, Search Console or Google Analytics servers. No credential needed.

Changing things

A tool marked C needs a confirmation: call preview_operation with the tool's name and arguments, show the plan to the user, and call the tool with the returned confirmationToken only after they agree. The token is single-use, expires after a few minutes, and is refused if anything the plan described has changed. Creating tools, job starters and confirmable tools also accept a requestId: a retry with the same one returns the first result instead of doing the work twice.

Tool	Scope		What it does
`create_project`	`write`		Create a project from brand names and domains.
`update_project`	`write`		Rename a project, or replace its website domains and brand names.
`archive_project`	`write`	C	Archive a project; its tracked queries stop being checked.
`restore_project`	`write`		Bring an archived project back.
`create_competitor`	`write`		Add a competitor to a project.
`update_competitor`	`write`		Replace a competitor's name, website domains and brand names.
`delete_competitor`	`write`	C	Remove a competitor with every mention and search or shopping result recorded for it.
`create_tracked_queries`	`write`	C	Add tracked queries in bulk across engines and countries; the preview shows the checks they will spend.
`pause_tracked_queries`	`write`		Pause up to 100 tracked queries; skipped checks are not made up.
`resume_tracked_queries`	`write`		Resume up to 100 paused tracked queries.
`set_tracked_query_check_frequency`	`write`		Change how often up to 100 tracked queries are checked.
`set_tracked_query_passes`	`write`		Change how many answers each check of up to 100 tracked queries captures.
`delete_tracked_queries`	`write`	C	Delete up to 100 tracked queries with their captured answers, matches and history.
`run_checks`	`write`	C	Check tracked queries now, spending budget.
`report_ai_response`	`write`		Flag a captured AI answer that was analysed wrong.
`create_clusters`	`write`		Create keyword clusters.
`rename_cluster`	`write`		Rename a cluster.
`delete_cluster`	`write`	C	Delete a cluster; its tracked queries stay.
`add_tracked_queries_to_clusters`	`write`		Add tracked queries to clusters.
`remove_tracked_queries_from_clusters`	`write`		Remove tracked queries from clusters.
`start_auto_clustering`	`write`		Start a job that proposes a clustering.
`apply_auto_clustering`	`write`		Apply a proposal the user approved.
`suggest_brand_names`	`write`		Start a job that suggests brand names for a website.
`discover_brands`	`write`		Start a job that finds other names a project's brand and its competitors go by.
`discover_keywords`	`write`		Start a job that proposes search keywords worth tracking.
`discover_prompts`	`write`		Start a job that proposes AI prompts worth tracking.
`create_organization`	`organization:manage`	C	Create an organization.
`update_organization`	`organization:manage`	C	Change an organization's name, description or contact email.
`archive_organization`	`organization:manage`	C	Archive an organization.
`restore_organization`	`organization:manage`	C	Restore an archived organization.
`invite_member`	`organization:manage`	C	Invite someone by email with a role and, optionally, the projects they will reach.
`cancel_invitation`	`organization:manage`	C	Cancel a pending invitation.
`change_member_role`	`organization:manage`	C	Give a member another role.
`set_member_project_access`	`organization:manage`	C	Limit a member to selected projects, or give them every project back.
`suspend_member`	`organization:manage`	C	Suspend a member, taking their access away.
`reactivate_member`	`organization:manage`	C	Give a suspended member their access back.

A change is refused exactly where the Mencoro app refuses it: your role in the organization, an archived project, or a missing subscription where the app requires one.

Dates are ISO YYYY-MM-DD and must fall inside the retention window. Positions are 1-based and lower is better; every other metric improves as it rises.

The live definitions — names, descriptions, input and output schemas, annotations — are readable without a credential at https://api.mencoro.com/public/v1/mcp, a discovery-only mount of the same server that answers initialize, ping, tools/list, prompts/list and the public guide (get_mencoro_guide), and refuses everything else. Calling any other tool requires signing in at https://api.mencoro.com/mcp.

Prompts

Twenty ready-made starting points, surfaced by clients that support MCP prompts. Twelve ask about your data:

brand_ai_overview · whats_changed · organization_overview · top_queries · biggest_movers · query_history · competitor_standing · head_to_head · negative_mentions · cited_sources · coverage_health · sov_explainer

Four script a change step by step, stopping for your approval where it matters:

Prompt	Workflow
`set_up_project`	Start monitoring a brand from its website in a short conversation: one proposal with brand names and suggested competitors before anything is created, then the first prompts to track, then the other brands the answers name.
`expand_query_set`	Find new prompts or keywords worth tracking and add the ones you pick.
`reorganise_clusters`	Let Mencoro propose a clustering, review it, and apply it.
`tune_tracking_costs`	Review what each tracked query costs in checks and change frequency, passes or status to fit the plan.

Four turn the data into decisions:

Prompt	Analysis
`visibility_report`	A structured report for a period against the previous one, ending with recommended actions.
`results_review`	Whether a change (content, PR, a launch) moved visibility, before and after against a baseline.
`optimization_opportunities`	A prioritised list of what to improve: where competitors win, sources to be present on, sentiment and coverage gaps.
`cross_source_analysis`	Mencoro together with the Ahrefs, Semrush, Search Console or Google Analytics servers your assistant has connected. Mencoro has no integration with them; the assistant calls each with your own account.

ChatGPT submission and skills

chatgpt-app-submission.json contains the app submission metadata, tool annotation justifications, and review test cases. Keep its tool descriptions and justifications aligned with the hosted server when capabilities change.

Ten optional skills turn the tools into reusable workflows. ChatGPT does not surface MCP prompts, so these are how its users get the same guided flows.

Six analyse, and change nothing:

Visibility report: performance summaries, trends, and query gains or losses.
Competitor analysis: share of voice and head-to-head comparisons.
Sentiment review: sentiment breakdowns with attributed mention excerpts.
Coverage audit: current monitoring coverage and stale queries.
Results review: whether a change moved AI visibility, before and after against a baseline.
Optimization insights: a prioritised list of what to improve, optionally with connected Ahrefs, Semrush, Search Console or Google Analytics tools.

Four make changes, each only after the user approves it, and need the write scope:

Project setup: a monitored project from a website in a short conversation, with brand names and suggested competitors proposed before anything is created.
Query expansion: new prompts or keywords worth tracking, added as the user picks them.
Cluster reorganisation: a proposed clustering, reviewed and applied.
Cost tuning: frequency, pass and pause changes that bring check spend within the plan.

In the submission portal's Skills step, upload each skill folder under skills/, or a ZIP containing that folder. Include both SKILL.md and agents/openai.yaml; the latter declares the existing Mencoro MCP connection. Users need to connect their Mencoro account through OAuth. These skills require no additional backend endpoint or local executable.

The portal stores an uploaded snapshot. Upload revised bundles when instructions change, and test each workflow with a connected account before submitting the app. See the OpenAI skills guide.

The bridge

Run it

export MENCORO_API_KEY=mcp_pat_your_token
npx -y @mencoro/mcp            # serve on stdio
npx -y @mencoro/mcp doctor     # check the endpoint, the token, and list the tools

Docker

docker run --rm -i -e MENCORO_API_KEY=mcp_pat_your_token ghcr.io/mencoro/mencoro-mcp

-i is required and -t must be omitted: the MCP transport is this process's stdin and stdout.

Options


`MENCORO_API_KEY`	Personal access token. Without it the bridge still starts and still advertises the full catalogue; `get_mencoro_guide` answers from the public guide, and every other tool answers with setup instructions instead of data.
`MENCORO_MCP_URL`	Upstream endpoint. Defaults to `https://api.mencoro.com/mcp`.
`--url <url>`	Same, as an argument.
`--header "Name: value"`	Extra HTTP header, repeatable. An `Authorization` header here overrides `MENCORO_API_KEY`.
`doctor`	Connect once, print the server version, negotiated protocol, tool and prompt catalogue, then exit.
`--help`, `--version`

What it actually does

It splices your client's stdio transport onto a Streamable HTTP transport and forwards every JSON-RPC frame verbatim, in both directions. The only frame it looks inside is the handshake — enough to echo the negotiated protocol version back upstream and to rebuild the session if the server evicts it, which a deploy or a scale-down will do. It knows no other method, so it cannot drift from the server: tools, prompts, resources, completions, progress notifications and anything added later all pass straight through.

Without a credential

The bridge starts anyway, serving catalog.json — a committed copy of what the hosted server advertises — plus a mencoro_setup tool. So npx -y @mencoro/mcp introspects to the same tools and prompts a credentialed run does, and anything that scans the package sees a real catalogue rather than a server that looks empty. Calling one of those tools returns the setup instructions as an error; it never returns invented data. The exception is get_mencoro_guide, which reads only published material: the bridge forwards it to the hosted server's anonymous endpoint and returns the real answer.

npm run sync:catalog refreshes the file from the anonymous catalogue endpoint, and npm run check:catalog fails if the committed copy has fallen behind. A scheduled workflow runs the check weekly, because the catalogue it mirrors lives in another repository and nothing in a pull request here would notice it drifting.

Limits


Access	`read` always; `write` and `organization:manage` only when granted, and never beyond your own role. Confirmable changes run only with a token from `preview_operation`.
Batches	Tools that act on tracked queries or clusters by id take at most 100 per call (500 for `start_auto_clustering`); each tool's input schema states its limits.
Retention	Up to 16 months of history; dates outside the window are rejected.
Transport	Streamable HTTP.
Rate limiting	Repeatedly presenting an invalid credential is rate limited per IP.
Result size	Large result sets are paginated; ask for a narrower window or a coarser granularity if a client truncates.

Repository contents


`src/`, `test/`	The stdio bridge published as `@mencoro/mcp`.
`catalog.json`	What the hosted server advertises, served by the bridge when it has no credential.
`scripts/`	Manifest and catalogue checks run by CI.
`server.json`	The MCP registry manifest.
`glama.json`	Glama directory ownership metadata.
`chatgpt-app-submission.json`	ChatGPT app submission metadata and tool justifications.
`skills/`	Ten reusable Mencoro workflows for ChatGPT: six analyses and four guided changes.
`Dockerfile`	The image published to `ghcr.io/mencoro/mencoro-mcp`.
`assets/`, `logo.png`	Brand assets used by directory listings.

Development

npm ci
npm run typecheck
npm test            # builds first, then runs the suite
npm run check:manifests
npm run check:catalog   # asks the hosted server whether catalog.json is still current

Tests run the TypeScript sources directly through Node's type stripping, so development needs Node 22.18 or newer. The published package targets Node 22+, which CI verifies separately against the built artifact.

Releases are cut by tagging. npm version <patch|minor|major>, mirror the new version into server.json (.version, the npm package entry, and the image tag), run npm run check:manifests, then push the tag — CI publishes to npm, GHCR and the MCP registry, in that order, then creates the GitHub release, which is what Glama builds a new version from.

Support

Product and account questions — support@mencoro.com
Bugs in this package — open an issue
Security — see SECURITY.md
About the server — mencoro.com/features/mcp-server
Privacy policy — mencoro.com/legal/#privacy
Terms of service — mencoro.com/legal/#terms

Licence

MIT. See LICENSE.

The Mencoro name, logo and brand assets in assets/ are trademarks of Mencoro and are not covered by that licence.

Available Tools

68 tools

add_tracked_queries_to_clustersAdd tracked queries to clustersB

Idempotent

Connect

Clients that speak remote MCP (recommended)

Clients that can only spawn a local process

Authentication

Client configuration

Tools

Reading

Changing things

Prompts

ChatGPT submission and skills

The bridge

Run it

Docker

Options

What it actually does

Without a credential

Limits

Repository contents

Development

Support

Licence

Available Tools

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

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