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Coven

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MCP server for website auditing and AI visibility measurement using the COVEN v2.0.1 methodology, offering tools to scan, score, and optimize sites for agent tr

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Описание

MCP server for website auditing and AI visibility measurement using the COVEN v2.0.1 methodology, offering tools to scan, score, and optimize sites for agent traffic.

README

MCP tools for website auditing and AI visibility measurement, scored against the COVEN v2.0.1 methodology.

Measurement, not middleware.

Endpoint

https://api.covenai.io/mcp

Methodology

Scans use the COVEN v2.0.1 rubric. Five dimensions are scored and combined into an overall score; one further signal is surfaced separately for research, with no weight on the score.

Dimension Weight Field
Structure 25% structure_score
Citability 25% citability_score
Discoverability 15% discoverability_score
Agent Interface 20% agent_interface_score
Transactability 15% transactability_score
Agent Correlation (research signal, not scored) 0% agent_correlation_score

Scan responses include methodology_version: "2.0.1", the per-dimension fields above, and an overall_score.

Tools

Tool Description Auth
scan_website v2.0.1 site scan across the five scored dimensions, with Agent Correlation reported as a research signal Optional
check_geo_score Score a site's readiness for agent traffic — 0–85, A–F grade Optional
score_citability Content citability analysis under the v2.0.1 Citability dimension Required
generate_llmstxt Generate a ready-to-deploy llms.txt file Optional
geo_optimise Full agent-readiness audit with deployable content patches Optional
list_audit_products List available audit reports and prices Optional
place_audit_order Order a full AI audit report Required (Pro+)
get_audit_status Poll audit delivery status Required

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "coven-ai": {
      "url": "https://api.covenai.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_COVEN_API_KEY"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "coven-ai": {
      "url": "https://api.covenai.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_COVEN_API_KEY"
      }
    }
  }
}

Get an API key at covenai.io/developers.

Examples

check_geo_score("brightlocal.com")
→ Grade D, 46/85 — three priority fixes returned

geo_optimise("yoursite.com")
→ Four deployable patches: llms.txt, FAQ HTML block, schema JSON-LD, passage rewrite

generate_llmstxt("yoursite.com")
→ Complete /llms.txt file, ready to deploy

scan_website("example.com")
→ v2.0.1 report: Structure 72, Citability 64, Discoverability 58,
  Agent Interface 49, Transactability 41, Agent Correlation 0.31 (research signal)

Auth

Most tools work without authentication. Audit orders and the monitoring API require a COVEN API key.

Get one at covenai.io/developers.

Links

from github.com/covenai-dev/coven-mcp

Установка Coven

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/covenai-dev/coven-mcp

FAQ

Coven MCP бесплатный?

Да, Coven MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Coven?

Нет, Coven работает без API-ключей и переменных окружения.

Coven — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Coven в Claude Desktop, Claude Code или Cursor?

Открой Coven на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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