AI & Machine Learning

hibot.com

Provides information about HiBot's AI visibility audits, including methodology, plans, case studies, and blog articles.

1 endpoint7 known toolsFirst detected September 3, 2026Last detected September 3, 2026

ENDPOINT 1

https://hibot.com/mcp/public

No auth detected

MCP server metadata

Name: hibot-public
Version: 1.0.0

Capabilities

tools

Server instructions

HiBot measures how AI answer engines like ChatGPT, Perplexity, and Google surface, recommend, and represent brands, using the ANSWER framework. These tools serve HiBot's public knowledge: the methodology, the Pulse and Panorama audit plans, real case studies, and published articles. Audits are run by human specialists and scored from stored answers; nothing here queries an AI engine live. Customers register at https://hibot.com/register.

Known tools 7

get_answer_methodology

The ANSWER framework HiBot audits with: the six categories of AI visibility, the 0 to 4 response rubric, category weights, score bands, and letter grades.

Inferred read-only

get_plans

The HiBot Pulse and Panorama audit plans: price, question count, AI engines covered, runs per question, what every report includes, and where customers register.

Inferred read-only

list_case_studies

The public catalog of real HiBot audit case studies (Oura, Costco, Salesforce, and more), each with its headline finding and page URL.

Inferred read-only

get_case_study

The summary of one HiBot case study by slug: the headline finding, what the full report covers, and the page where customers can request it.

Inferred read-only

list_blog_articles

Published HiBot articles on AI visibility and the ANSWER framework, newest first, optionally filtered to one ANSWER category.

Inferred read-only

get_blog_article

One published HiBot article by slug, rendered as readable Markdown with its canonical URL.

Inferred read-only

search_blog

Keyword search over published HiBot articles, ranked by relevance, each with its page URL.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.hibot-public]
url = "https://hibot.com/mcp/public"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "hibot-public": {
      "type": "http",
      "url": "https://hibot.com/mcp/public"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: hibot-public
Remote MCP URL: https://hibot.com/mcp/public

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "hibot-public": {
      "url": "https://hibot.com/mcp/public"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "hibot-public": {
      "type": "http",
      "url": "https://hibot.com/mcp/public"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "hibot-public",
  "transport": "streamable-http",
  "url": "https://hibot.com/mcp/public"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.