AthenaHQ
Monitor how AI assistants mention, cite and rank your brand versus competitors in AI search results.
Tracks brand visibility in AI search responses across multiple LLM models. Provides citation rates, mention frequency, ranking position, share of voice, and content performance metrics. Helps marketers understand AI search visibility and optimize content strategy.
Try asking Muse: "Show me how often my brand is mentioned in AI search results compared to competitors this month."
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Source: Found in the official MCP Registry (ai.athenahq/mcp) · First listed October 29, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 3 h 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.athenahq.ai/api/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
AthenaHQ 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.athenahq.ai/api/mcpWhat people ask Muse to do
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 502ms. Worked in n/a of checks over 30 days.
Screening · October 29, 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 · 40
open_ai_accessOpen the AthenaHQ AI crawler access panel. Enter a public HTTPS domain to inspect crawler responses and robots.txt permissions without an AthenaHQ account.check_public_ai_accessCheck HTTP responses to AI crawler user agents and robots.txt permissions for a public website. No AthenaHQ account required. Search, retrieval and training are separate. Requests originate from AthenaHQ, not verified crawler IPs. Unknown responses are inconclusive; this does notget_prompt_schedulesList the Default, custom and archived streaming schedules for a website. Use each row's selection value when filtering analytics or responses. Default includes all pre-cutover history and ad hoc runs; archived schedules retain results. To combine schedules, pass several selectionget_ai_search_valueAI Search Value for a website: topic-market value, captured value range, headroom, coverage, value-weighted AI share of voice, per-topic detail, and modeled attributed contribution.get_promptsList prompts (search queries) tracked for a websiteget_prompt_tagsList prompt tags for a website with per-tag prompt counts. Tag IDs can be used with the prompt_tags filter on the prompts endpoint.get_personasList personas configured for a website with per-persona prompt counts. Use it to resolve persona_id values returned by other tools to persona names and descriptions.get_topicsList topics (groupings of prompts) for a website, with the count of prompts in eachget_competitorsList competitors tracked for a websiteget_content_hub_sheetsList the Content Hub tabs/sheets configured for a website. Use to discover available tabs (e.g. 1st-party content, 3rd-party placements, Reddit) before calling get_tracked_content with a specific sheet_id (metrics; excludes in-flight pipeline items) or list_content (every item inget_tracked_contentList tracked content (1st-party drafts, imported pages, 3rd-party placements) with citation, mention, and impression metrics for the supplied date range and filters. Supports pagination via page_num / page_size and optional filtering by Content Hub sheet_id or content_type. In-fllist_contentEnumerate every content item in a website's Content Hub, published or not: in-flight drafts, briefs, snipes, optimize and slice runs, scheduled and failed items, plus tracked pages. Returns identity fields only (id, title, type, stage, sheet, URL, timestamps, target prompt ids), get_content_detailFetch the full detail of a single tracked content item — its brief and body text (drafts, optimize rewrites, snipes, authored and scraped pages), plus status, cited source URLs, and links. Use after get_tracked_content to read the actual text behind a content_id. A status of geneget_content_citation_promptsFor a single tracked content item, list every prompt whose AI responses cited it — with citations, citation %, and estimated impressions. Use after get_tracked_content to drill into which prompts a given URL is appearing for. This is CITED-BY, measured over the requested date ranlist_websitesList every website accessible to the calling session. Works with any API key (global or scoped) and with MCP/OAuth sessions. Call with an empty argument object `{}`. Each item includes `baseCountry`, the country market the website targets: use it to tell same-brand websites for dget_locationsList geo-locations configured for a websiteget_date_rangeGet the earliest and latest response dates for a websiteget_responsesGet LLM responses for a website. Shows how AI models answer queries, with sources, sentiment, and ranking data. Filter by whether a model used search queries or by text within those queries. For a variation-level export at volume, pair filters.variation_filter with include_responget_response_streaming_statusRead the latest (or a specific) response-streaming run's whole-run state and response-queue progress. Only completed means downstream analysis has finishedget_response_detailFetch a single LLM response by id with full sources, mentions, and rank details.get_saved_viewsList saved views (filter presets) for a websiteget_group_saved_viewsList group-level saved views (filter presets) shared across the websites in a groupget_credits_organizationGet credit balance for the organizationget_credits_websiteGet credit balance for a specific websiteget_groupsList all groups in the organization (global API key only)get_group_detailFetch a single group by id with its member websites.get_share_of_voice_cumulativeGet cumulative share of voice — overall SOV for each competitor across the date range. Each entry also includes relative_mention_rate: the share of responses mentioning any tracked brand that mention this entity.get_share_of_voice_time_seriesGet share of voice over time — how often the website is mentioned vs competitors, grouped by day. Each entry also includes relative_mention_rate: the share of that day's responses mentioning any tracked brand that mention this entity.get_citation_rate_cumulativeGet cumulative citation rate — average citation rate for each competitor across the date range.get_citation_rate_time_seriesGet citation rate over time — how often AI models cite (link to) the website, grouped by day.get_mention_rate_cumulativeGet cumulative mention rate — average mention rate for each competitor across the date range. mention_rate is absolute (share of all responses); relative_mention_rate is the share of responses mentioning any tracked brand.get_mention_rate_time_seriesGet mention rate over time — how often AI models mention the website by name, grouped by day. mention_rate is absolute (share of that day's responses); relative_mention_rate is the share of that day's responses mentioning any tracked brand.get_position_cumulativeGet cumulative position — average ranking position for each competitor across the date range.get_position_time_seriesGet ranking position over time — average position of the website in AI model responses, grouped by day.get_position_distributionGet position distribution: share of responses where the brand ranks top/middle/bottom across the date range.query_metricsQuery aggregated metrics for brand performance, competitors, sources, citations, and response trends. Use query_rows for individual records. Mentions: from "response_mentions". Citations: from "citations". On either, where { is_website: true } selects the brand; { is_competitor: query_rowsQuery individual analytics rows. Use for qualitative data like response text, specific identifiers, or individual mentions. Schedule selection: pass schedule: "default" or a custom/archived UUID from the schedule catalog, or an array of them to combine schedules. Omit to use the list_pitchesList pitch workspace reports for the organization. Returns all non-deleted pitches with their status and metadata.get_pitchGet a pitch report by ID including competitors, prompts, attributes, top citing sources, and aggregate metrics (brand mentions, sentiment, response rate).get_sourcesList top cited sources (root domains) for a website with citation, mention, brand-mention, and impression metrics. Each row is classified as owned / competitor / partner / third_party. Supports filters (date range, models, prompts, competitors, locations, personas), sort, and pagLink
https://api.athenahq.ai/api/mcpQuestions about AthenaHQ in Muse
How do I connect AthenaHQ to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use AthenaHQ to help me. It is a free service with an MCP server at https://api.athenahq.ai/api/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 AthenaHQ working right now?
At the last check (October 29, 2026, 10:51 UTC) the endpoint was working, answering in 502ms. It is checked every 15 minutes.
Is AthenaHQ safe to connect to Muse?
It was screened on October 29, 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 AthenaHQ do in Muse?
It exposes 40 tools, including open_ai_access, check_public_ai_access, get_prompt_schedules, get_ai_search_value. For example, you could ask Muse: "Show me how often my brand is mentioned in AI search results compared to competitors this month."
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