CrawlRaven MCP

Product Introduction

1. Definition: The CrawlRaven MCP Server is a remote Model Context Protocol (MCP) server that provides typed, programmatic access to SEO and analytics data. It acts as a secure bridge between the CrawlRaven platform and AI agents like Claude, ChatGPT, and Cursor.
2. Core Value Proposition: It exists to eliminate the manual, time-consuming process of exporting, filtering, and cross-referencing data from Google Search Console and Google Analytics 4 (GA4). By integrating this data directly into AI chat interfaces, it enables SEO professionals, content teams, and marketers to get actionable, ranked insights through natural language queries, dramatically accelerating SEO workflow and decision-making.

Main Features

1. Unified Data Access via MCP: The server exposes 13 distinct, typed tools through the open Model Context Protocol standard. These tools allow an AI client to directly query joined datasets from Search Console (impressions, clicks, queries, pages) and linked GA4 properties (sessions, engagement, conversions). How it works: The AI agent selects the appropriate tool (e.g., list_pages, list_queries), the server executes the query against CrawlRaven's processed data, and returns structured, typed rows with metadata like date ranges and truncation status, enabling the AI to reason with accurate data.
2. Ranked Opportunity Engine: This is not just data access; it's prioritized insight. A core feature is the list_opportunities tool, which surfaces a ranked list of actions (e.g., "Push 'technical seo audit tool' onto page," "Rewrite title on /tools/meta-checker"). These rankings are based on CrawlRaven's analysis of impact, combining Search Console performance gaps with business context from GA4 and target keyword plans, telling users exactly what to fix, update, or write first.
3. Integrated Timeline & Annotation System: The server provides tools to read the site timeline (list_annotations), which overlays verified Google algorithm updates with user-added notes. This allows AI agents to correlate traffic drops or gains with external events, preventing incorrect attribution. With approved scopes, it can also draft timeline notes for user approval (plan_note), enabling workflow integration directly from chat.

Problems Solved

1. Pain Point: Manual Data Silos and Export Hell. SEOs waste hours exporting capped 1,000-row CSV files from Search Console, manually joining them with GA4 data in spreadsheets, and repeating this process for every new question or date range. This analysis is often outdated by the time it's completed.
2. Target Audience: SEO Agencies managing multiple clients, In-House SEO and Content Managers responsible for site growth, and Founders/Solo Marketers who need SEO insights without deep technical expertise or a large team.
3. Use Cases: Essential for weekly SEO triage ("What should I work on this week?"), diagnosing traffic drops ("Did a Google update cause this?"), content refresh planning ("Which pages have decaying clicks?"), content gap analysis ("Which target keywords have no page ranking?"), and automated reporting ("Write the monthly search update").

Unique Advantages

1. Differentiation: Unlike standalone SEO tools or dashboards that require manual exploration, CrawlRaven MCP brings the data to the user's existing workflow (Claude, ChatGPT). Unlike pasting raw CSVs into a chat—which lacks context and leads to AI hallucination—it provides typed, scoped, and verified data. It also differs from generic "analyze this CSV" plugins by being purpose-built for SEO data relationships.
2. Key Innovation: The integration of the Model Context Protocol (MCP) with a pre-joined, semantically rich SEO data model. The innovation is not just in having the data, but in structuring it as discoverable "tools" an AI can reliably use, and returning responses with inherent context (period, truncation, source). This turns an AI from a creative writer guessing about data into a precise analyst working with facts.

Frequently Asked Questions (FAQ)

1. How does CrawlRaven MCP Server work with Google Search Console data? The CrawlRaven MCP Server connects to your CrawlRaven account, which has already imported and processed your Google Search Console data. Through OAuth-scoped tools, it allows an AI agent to query this data—like top-performing pages, search queries, and impression trends—directly within chat, without manual exports or API calls.
2. Is the CrawlRaven MCP Server secure and read-only? Yes, by default, 12 of the 13 tools are strictly read-only. Access is granted via OAuth 2.0 scopes that you approve per session, meaning you control what data the client can see. No API keys are stored or shared. The one write-capable tool (plan_note) only drafts a timeline note, which must be manually approved in the CrawlRaven app before being saved.
3. What's the difference between the free preview and paid MCP access? The free preview allows connection for one pinned website, offers 7 core read-only tools (primarily Search Console), limits queries to a fixed 28-day window and 50 rows, and allows 20 tool calls per day. Paid access (included with any lifetime CrawlRaven license) unlocks all 13 tools, includes GA4 and timeline data, applies to all sites on your plan, offers custom date ranges up to 365 days, and has no row or daily call limits.
4. Can I use the CrawlRaven MCP server with ChatGPT? Yes, the CrawlRaven MCP Server is compatible with any AI client that supports the Model Context Protocol (MCP) with remote HTTP and OAuth. This includes official clients like Claude (web, Desktop, Code), ChatGPT (via MCP-compatible configurations), and Cursor IDE, as well as other MCP-enabled agents.