Peak Answer

io.github.peakanswerv1.0.0Updated Sep 29, 2026

Whether AI search recommends your brand, which questions rivals win, and why engines skip your site.

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingAI & ML

Overview

AI-generated overview

Checks whether AI search engines recommend a brand, audits site answer-readiness, and tracks visibility and competitor-won questions.

What it does
A remote MCP server for Peak Answer that audits a public URL for answer readiness, AI crawler access, robots.txt, sitemap, structured data, headings, meta description, readability and entities in one call. It can generate llms_txt, faq_schema, content_brief, prompt_set or semantic_keywords, and run a geo_audit that asks a real model ten buying questions as a background run. Brand-scoped tools report the connected domain, measured visibility history, tracked questions (including ones a competitor wins), question history over time, a ranked action backlog, and Search Console queries near the top of page two.
When to use it
Use it when you want an assistant to evaluate or improve how a brand shows up in AI search answers, or to pull measured visibility, tracked-question and Search Console data for one brand. It suits marketing, SEO and content teams working on generative engine optimization.
Requirements
A remote endpoint only; nothing is installed locally. Connect a client to the Peak Answer MCP URL. OAuth 2.0 is discovered automatically, or an API key from Peak Answer Settings can be used as a bearer token. A Peak Answer account is required for the brand-scoped tools; the connection is scoped to one brand.
Before you install
The connection is scoped to a single brand's data, so confirm the domain with the my_brand tool rather than assuming. An API key from Peak Answer Settings is used as a bearer token and should be treated as a secret. The my_* tools read the customer's own measured data, and my_search_console reads Search Console query data. The audit, generate and geo_audit tools send public URLs to Peak Answer and geo_audit asks a real model buying questions.

Installation

In SourceWeft

  1. Open Peak Answer in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "peak-answer": {
      "type": "http",
      "url": "https://peakanswer.com/api/mcp"
    }
  }
}

README

Peak Answer MCP

The remote MCP server for Peak Answer: whether AI search engines recommend a brand, which buying questions competitors win instead, and the technical and content reasons an engine cannot quote a site.

Remote only. There is nothing to install and no local process; you point a client at the URL.

https://peakanswer.com/api/mcp

Connect

Claude Code

bash
claude mcp add --transport http peak-answer https://peakanswer.com/api/mcp

mcp.json (Cursor, VS Code and other clients that read this format)

json
{  "mcpServers": {    "peak-answer": {      "url": "https://peakanswer.com/api/mcp"    }  }}

Claude.ai and ChatGPT — add the URL under Settings, Connectors.

Setup with screenshots: https://peakanswer.com/tools/claude-mcp

Authentication

OAuth 2.0, discovered automatically. An unauthenticated request returns 401 with

WWW-Authenticate: Bearer resource_metadata="https://peakanswer.com/.well-known/oauth-protected-resource/api/mcp", scope="mcp"

and the client takes it from there. Clients that would rather hold a token can use an API key from Peak Answer Settings as a bearer token instead.

The connection is scoped to one brand. Call my_brand to find out which domain that is rather than asking the user or guessing.

Tools

ToolWhat it does
audit_siteAnswer readiness, AI crawler access, robots.txt, sitemap, structured data, headings, meta description, readability and entities for one URL, in one call. Seconds
generateProduces llms_txt, faq_schema, content_brief, prompt_set or semantic_keywords
geo_auditAsks a real model ten real buying questions. Starts a background run and returns immediately; call again with the same domain to collect it
my_brandWhich domain this connection is scoped to
my_visibilityMeasured visibility history for that brand, rather than a one-off check
my_questionsTracked questions, with only_losing for the ones a competitor wins
my_question_historyOne question over time
my_actionsThe ranked backlog for that brand
my_search_consoleSearch Console queries near the top of page two

Every tool is read-only and annotated as such, so a client does not have to ask before each call.

audit_site, generate and geo_audit work on any public URL. The my_* tools read the customer's own measured data.

Who it is for

Anyone with a Peak Answer account; the MCP is included on every plan. The free tools at peakanswer.com/tools need no account at all.

Agent skills that use these tools, and work without them: peakanswer/peak-answer-skills.

Registry

server.json in this repo is the MCP Registry entry.

Source: README.md at commit f15824f

Tools

0
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Version history

1
  1. v1.0.0LatestSep 29, 2026