INDIVIDUAL MCP TOOL

get_priority_insights

Return the top 3 prioritized, pre-computed DIAGNOSES for the site over the given period — 'what should I act on this week', ranked by revenue impact.

revenuescope.jpnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

revenuescope.jp

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.revenuescope-mcp]
url = "https://mcp.revenuescope.jp/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "revenuescope-mcp": {
      "type": "http",
      "url": "https://mcp.revenuescope.jp/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: revenuescope-mcp
Remote MCP URL: https://mcp.revenuescope.jp/api/mcp

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": {
    "revenuescope-mcp": {
      "url": "https://mcp.revenuescope.jp/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "revenuescope-mcp": {
      "type": "http",
      "url": "https://mcp.revenuescope.jp/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "revenuescope-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.revenuescope.jp/api/mcp"
}

MCP Inspector

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

Related tools

list_sites — List the sites this caller can analyze, in two groups.
get_summary — Return the full headline summary for a site and period in ONE call: the 5 KPIs (revenue, sessions, RPS, AOV, CVR) PLUS two engagement KPIs (avg_duration = average dwell time in seconds, bounce_rate = % single-page-exit sessions) each with value AND the period-over-period change vs the previous equal-length window, PLUS a daily revenue/sessions/conversions trend, PLUS ad-spend availability (connected_channels, ad_spend_data_status, ad_spend_channels_in_period) and the Path A/B recommendation.
get_breakdown — Consolidated breakdown tool.
get_keyword_performance — Return search-query performance from Google Search Console for the given period.
get_ai_traffic — Return AI-assistant (ChatGPT/Claude/Perplexity/Gemini/Copilot) traffic for the given period.
suggest_budget_allocation — Return a proposed monthly budget split across paid ad channels (Google Ads / Meta / TikTok Ads / Yahoo!
get_page_trend — Return how ONE page's Google Search performance changed over time (FD-040) — the time-axis drill-down for a page surfaced by get_breakdown(dimension='page').
get_content_actions — Return a content 'playbook' for the site: every content page classified into ONE of five action buckets over a weekly-style window comparison (current window vs the immediately preceding window of equal length), ranked by search-opportunity × session gain so you can tell the user which page to GROW next and what to do: within the 'striking' bucket rows are ordered by expected_sessions_gain DESC (the band-CTR headroom that is the actionable lever there), while the other buckets keep real landing revenue DESC (largest revenue at stake first).