# Refora Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Refora

See how often AI assistants mention your brand and which competitors they recommend instead

- Record: https://musedirectory.ai/connector/refora
- Category: Marketing & Ads
- Developer: Refora (https://refora.ai/docs/mcp)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 243ms, checked 2026-11-15T20:51:08Z
- Endpoint: https://mcp.refora.ai/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-11-15T20:51:08Z)
- Source: Found in the official MCP Registry (ai.refora/refora) https://registry.modelcontextprotocol.io/v0/servers?search=ai.refora%2Frefora

Connects to your Refora account to read AI search visibility data. Muse can report your brand's mention share across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, compare tracked competitors, list the sources AI cites, check sentiment, and audit a page for AI crawler readiness.

Example request: "How does my brand show up in ChatGPT answers compared to my competitors this month?"

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Refora to help me. It is a free service with an MCP server at https://mcp.refora.ai/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.

Tools:
- list_workspaces: List the workspaces in the connected Refora organization. Call this first: every other workspace tool needs a workspace_id from here. Use this tool when the user asks about their workspaces, projects, or brands they're monitoring -- phrases like 'what am I tracking', 'list my pro
- get_visibility_score: How visible the workspace's own brand is in AI answers: the share of AI answers that mention it, overall and per AI model (ChatGPT, Perplexity, Gemini, Claude, Mistral, Google AI Overviews), and the change from the window before. Use this tool when the user asks about current per
- get_share_of_voice: The workspace's own brand's share of ALL brand mentions in AI answers, and which brands hold the rest -- every brand the models named, each marked as a tracked competitor or not. Use this tool when the user asks who the AI talks about -- phrases like 'share of voice', 'who gets m
- get_visibility_trend: Visibility over time for the workspace's own brand. Use this tool when the user asks about changes over time -- phrases like 'how has it changed', 'trending', 'are we improving', 'show the trend', or 'over the last month'. Do NOT use for the current snapshot (use get_visibility_s
- get_competitor_comparison: Rank the workspace's own brand against the competitors the user tracks, by visibility: the share of AI answers that mention each brand. Use this tool when the user asks about competitive position -- phrases like 'how do we compare', 'who's winning', 'where do we rank', or 'vs com
- get_competitor_visibility_gap: The prompts where one tracked competitor is mentioned in AI answers more often than the workspace's own brand. Use this tool as a follow-up to get_competitor_comparison when the user wants to understand WHY a competitor is winning -- phrases like 'why is X beating us', 'where are
- get_citation_sources: The domains and URLs that AI models cite in their answers for this workspace's prompts, each marked as the brand's own site, a competitor's, or other. Each URL also says what kind of page it is and how often each model cited it. Use this tool when the user asks which websites or 
- get_top_cited_urls_for_topic: The URLs that AI models cite most for the workspace's prompts in one topic. Use this for content briefs -- it shows which sources AI treats as authoritative for that topic. Use when the user asks about sources for a topic -- phrases like 'what does AI cite for X topic', 'sources 
- get_top_cited_domains: The domains AI models cite most across ALL workspaces in the organization. Aggregate view for multi-workspace orgs. Use when the user wants org-level source analysis -- phrases like 'across all workspaces', 'org-wide sources', 'top domains overall', or 'which sites dominate'. For
- get_prompt_performance: Detailed performance for one prompt (one question Refora asks the AI models on a schedule): visibility over time, per-model visibility and answers, and the URLs cited in its answers. Use this tool when the user asks about a specific prompt -- phrases like 'how are we doing on the
- get_sentiment_breakdown: How AI models talk about a brand: sentiment scores overall and per model, with example excerpts showing tone and framing. Use when the user asks how AI talks about their brand -- phrases like 'how does AI describe us', 'what's the sentiment', 'is ChatGPT positive or negative abou
- get_ai_answers: The answers themselves: what ChatGPT, Perplexity, Gemini, Claude, Mistral and Google AI Overviews said to this workspace's prompts, each with the brands it mentions and the URLs it cites. Use this tool when the user wants to read or quote what an AI said -- phrases like 'what doe
- audit_page: Check how ready one web page is to be read and cited by AI assistants: whether robots.txt lets the AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others) in, llms.txt, the sitemap, structured data, headings, trust signals, meta tags and a Wikidata entry. Retur
- get_market_ai_presence: A market snapshot of the workspace's website from an external index of AI answers: ChatGPT's and Gemini's answers to the brand's buyer questions as users see them in its country (share of answers naming the brand and each competitor, who else they name, which sources they cite), 
- get_account: What the connected Refora organization's plan includes (workspaces, tracked questions, AI models, how often they run) and what each workspace is measured with: its own tracking, a market snapshot, or nothing yet. Includes a link to set up tracking and one to the plans. Use this t

Screening checks:
- MCP handshake: pass (Answered in 243ms)
- Domain against threat feeds (Cloudflare security DNS): pass (mcp.refora.ai, refora.ai not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (15 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)