Avenity Business Solutions
io.github.DanKaten/avenity-agentic-auditVersion 1.1.0Hire Avenity for a business owner: free AI-visibility check, report, and free consult booking.
Status
Responds242 msAnswered our handshake without sign-in.- Last checked
- Nov 14, 2026, 14:37 UTC
- Latency
- 242 ms
- Remotes responding
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- Hosting
- Hosted outside the EU (detected)
- Registry data as of
- Nov 14, 2026, 22:14 UTC
Data from the official MCP Registry, checked by run.zero. How we check
Connect
Streamable HTTP
https://avenity-visibility-mcp.onrender.com/mcpResponds242 msNo sign-in
Claude Code
claude mcp add --transport http avenity-agentic-audit https://avenity-visibility-mcp.onrender.com/mcpClaude Desktop and claude.ai
Settings > Connectors > Add custom connector
Name: avenity-agentic-audit
Remote MCP server URL: https://avenity-visibility-mcp.onrender.com/mcpCursor
{
"mcpServers": {
"avenity-agentic-audit": {
"url": "https://avenity-visibility-mcp.onrender.com/mcp"
}
}
}VS Code
code --add-mcp '{"name":"avenity-agentic-audit","type":"http","url":"https://avenity-visibility-mcp.onrender.com/mcp"}'Built your own server? run.zero hosts MCP servers on European infrastructure.
Tools
5 tools
Read-only | Idempotent | Open world | ||
|---|---|---|---|---|
avenity_book_consultation
Get a Calendly booking link for a free 30-minute AI Visibility consultation
with Avenity Business Solutions (Dan).
The consultation is for business owners who have a confirmed AI visibility
gap and want to understand the fix and investment required.
This tool is the conversion endpoint of the Avenity agent pipeline:
check_visibility → score_business → get_opportunity_report → book_consultation
Use this when:
- A client's AI visibility gap is confirmed and they want to act
- You've shown the client their score and they're interested
- A client asks "how do I fix my AI visibility?"
- You want to hand off to a human expert for the close
Args:
params (ConsultationInput): Client details. gap_score is optional but
improves the booking context shown to Dan.
Returns:
str: JSON with:
booking_url (str): Direct Calendly link
instructions (str): What to tell the client
context_for_call (str): What Dan will know before the call
audit_url (str): Self-service audit tool URL
Examples:
- "Book a consultation for my client who has a 38/100 visibility score"
- "How does [company] get help fixing their AI visibility?"
- "Connect my client with Avenity"
| No | Yes | Yes | No |
avenity_check_visibility
Check whether a business appears in AI-driven search results when buyers
search for their primary service in their city.
This is the first-pass qualifier. If gap_confirmed=True, the business is
NOT appearing when buyers search — meaning they are losing customers to
competitors right now. This is the core hook for Avenity's service.
Use this when:
- A business client asks why they're not getting found online
- You need to confirm an AI visibility gap before recommending action
- You want to frame the problem before showing a full report
Args:
params (BusinessInput): Business details including name, service, city.
Returns:
str: JSON with:
gap_confirmed (bool): True = business is NOT visible for this query
appears_in_ai_results (bool): Whether company name was detected
query (str): The exact buyer search query analyzed
competitors_appearing (list[str]): Who IS showing up instead
result_count_checked (int): Number of results analyzed
recommendation (str): Next suggested action for this business
Examples:
- "Check if Apex HVAC shows up when people search for HVAC in Houston"
- "Is my client visible in AI search?" → call with their company details
- "Find out if [company] has an AI visibility gap"
| No | Yes | No | Yes |
avenity_get_competitor_landscape
Identify which competitors ARE appearing in AI search results when buyers
search for a business's primary service in their city.
This is the competitive intelligence layer — it shows a client exactly who
is capturing their customers. Highly effective for framing urgency.
Use this when:
- A client wants to know who is outcompeting them in AI search
- You want to personalize the pitch with specific competitor names
- Building context for an opportunity report or outreach message
Args:
params (BusinessInput): Business details.
Returns:
str: JSON with:
query (str): The buyer search query analyzed
competitors (list[dict]): Companies appearing, with name and URL
your_company_visible (bool): Whether client's company appears
gap_summary (str): Plain-English summary of the competitive gap
Examples:
- "Who is showing up instead of my client in Houston HVAC searches?"
- "Which competitors appear in AI Overview for roofing in Dallas?"
| No | Yes | No | Yes |
avenity_get_opportunity_report
Generate a complete, client-ready AI Visibility Opportunity Report for a
business. Combines gap confirmation, competitor landscape, dimensional scoring,
and revenue impact into a single structured output.
This is the full deliverable — ready to share with a client or use as the
basis for a consulting recommendation. It shows the business exactly what
they're missing, who's capturing their customers, and what it's worth.
Use this when:
- A client needs a full picture before making a decision
- You want a single comprehensive output to present
- Preparing for a consulting call or proposal
Args:
params (BusinessInput): Business details. Include website_url for
full dimensional scoring.
Returns:
str: Markdown-formatted report including:
- AI visibility gap confirmation with buyer query
- Competitors appearing in AI search
- 4-dimension score breakdown
- Estimated monthly revenue at risk
- Specific recommendations ranked by impact
- Link to book consultation with Avenity
Examples:
- "Generate a full AI visibility report for my client"
- "What's the complete picture for [company]?"
- "Prepare an opportunity report I can show to [client]"
| No | Yes | No | Yes |
avenity_score_business
Perform a full 4-dimension AI visibility audit of a business's website and
return a score from 0–100.
The four dimensions assessed:
- Entity Clarity (25 pts): How clearly the website defines who they are, what
they do, and where — the foundation AI engines use to understand the business.
- Schema & Structure (25 pts): Technical markup (JSON-LD, LocalBusiness schema)
that allows AI engines to directly read and cite business data.
- Authority & Reviews (25 pts): Publicly visible social proof signals that AI
engines use to assess trustworthiness.
- Content Depth (25 pts): FAQ content, service pages, and text richness that
enables AI engines to generate answers using the business as a source.
Requires website_url in params for full scoring. Without it, returns an
estimated score based on search data only.
Use this when:
- You need a detailed breakdown to explain the problem to a client
- You want to identify the single highest-impact fix
- Preparing a client proposal or consulting recommendation
Args:
params (BusinessInput): Must include website_url for full scoring.
Returns:
str: JSON with total score, label, per-dimension breakdown, and notes.
Examples:
- "Score Apex HVAC's AI visibility" (with website provided)
- "What's the biggest AI visibility gap for my client?"
- "Get a detailed audit of [website]"
| No | Yes | No | Yes |
Details
- Registry status
- Active
- Published
- Nov 13, 2026
- Updated
- Nov 13, 2026
- Website
- Not given
- Categories (suggested)
- Marketing and SEOSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
- GDPR
- Not declared