Skip to main content
Glama
150,341 tools. Last updated 2026-05-28 04:03

"Analyzing Competitor SEO Strategies Through Google SERPs" matching MCP tools:

  • SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.
    Connector
  • Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache
    Connector
  • Convert any string into a URL-friendly slug: lowercase, ASCII-normalized (é→e), special characters removed, spaces replaced with hyphens. Use for generating SEO-friendly URL paths, file names, or identifier keys from user-provided titles or labels.
    Connector
  • P87 — list the specialist agents ChiefLab can delegate to (design / video / research / outreach / seo / analytics). USE WHEN the user asks 'what can ChiefLab do beyond launch posts?' or before calling chieflab_request_specialist. Returns the kind + label for each so the caller can pick the right one.
    Connector
  • Get Arcadia LP strategies. Use featured_only=true for curated top strategies (recommended first call). Returns a paginated list with 7d avg APY for each strategy's default range. Increase limit or use offset for pagination. All APY values are decimal fractions (1.0 = 100%, 0.05 = 5%). For full detail on a specific strategy (APY per range width), use read_strategy_info.
    Connector
  • SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.
    Connector

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    MCP server that gives AI assistants live access to Google Search Console and Bing Webmaster Tools for search performance, indexing, keyword research, and crawl health analysis directly in the chat.
    Last updated
    10
    18
    MIT

Matching MCP Connectors

  • Professional SEO auditing: 15 tools, 9 checks, CWV, E-E-A-T, schema, GEO. Free tier.

  • Find local businesses on Google: name, address, phone, hours, ratings, and photos.

  • Purpose: Top RL-learned research strategies — GLOBAL pool + per-symbol partition. Layer E evidence. The GLOBAL pool may include synthesized win_rate values, so per_symbol_leaderboard is the primary measured-edge surface for trust auditing. When to call: final trust-validation step. Prerequisites: none. Next steps: market://{market_id}/signals/summary for live signals. Caveats: `min_trades` filter enforces statistical validity. Strategies are paper-tested, not real-money executed. Args: market_id: Market identifier (crypto, kr_stock, us_stock) target_market: Alias for market_id (backward compat) top_n: Top N strategies to return (default 20) limit: Alias for top_n (client-compat) min_trades: Minimum trades count for inclusion (default 10) include_per_symbol: Include per-symbol PG partition results (default True) Disclaimer: Information only, not investment advice.
    Connector
  • Fork a published strategy from the x711 Strategy Commons. Costs $0.03 USDC. The original publisher earns $0.02 royalty. Returns a copy of the strategy with your agent_id attached. Browse strategies first at https://x711.io/strategies or GET /api/strategies.
    Connector
  • Get the top-ranked short volatility and long volatility option trading strategies. Returns two ranked lists — short_volatility (sell premium / theta strategies) and long_volatility (buy premium / gamma strategies) — each containing up to `limit` tickers. Each entry has the same fields as get_ticker: - ticker, name, latest_price, page_url - bullish_case, bearish_case, potential_outcomes, takeaway, analysis_date (AI-generated, when available) - price_forecast_days, price_forecast_percent, price_forecast_lower/upper_bound_percent (when available) - iv_rank_percentile (0-100, IV rank over past year, when available) - short_vol_call, short_vol_put: best short volatility option packs (when available) - long_vol_call, long_vol_put: best long volatility option packs (when available) Sort options: - "helium_rank" (default): Helium AI edge score — best overall expected value - "odds_of_profit": Highest probability of profit - "historical_performance": Best annualized historical P&L across backtested trades - "reward_to_risk": Best reward-to-risk ratio - "smallest_max_loss": Strategies with the smallest maximum possible loss Args: sort: Ranking method (default "helium_rank"). One of: 'helium_rank', 'odds_of_profit', 'historical_performance', 'reward_to_risk', 'smallest_max_loss'. limit: Number of results per strategy type (1-20, default 5).
    Connector
  • Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.
    Connector
  • [FREE] See all available free SEO tools and recommended workflows. Call this first. FR: Découvrez les outils SEO gratuits et les workflows recommandés.
    Connector
  • Enable or disable an AI module on a site. The module must be in the plan's available module list. Requires: API key with write scope. Args: slug: Site identifier module_name: Module to toggle. Available modules: "chatbot" (AI chat widget), "seo" (SEO optimization), "translation" (content translation), "content" (AI content generation) Returns: {"module": "chatbot", "enabled": true, "message": "Module enabled"} Errors: NOT_FOUND: Unknown slug or module not in plan VALIDATION_ERROR: Invalid module name
    Connector
  • Get Arcadia workflow guides and reference documentation. Call this before multi-step workflows (opening LP positions, enabling automation, closing positions) or when you need contract addresses, asset manager addresses, or strategy parameters. Topics: overview (addresses + tool catalog), automation (rebalancer/compounder setup), strategies (step-by-step templates), selection (how to evaluate and parameterize strategies).
    Connector
  • Create a Google Ads experiment in SETUP status. Step 1 of 5 — next call addExperimentArms with one control + one treatment arm. Type `SEARCH_CUSTOM` for general search experiments (compare ads/keywords/landing pages); `SEARCH_AUTOMATED_BIDDING_STRATEGY` to compare bidding strategies on the same campaign. The experiment doesn't serve traffic until scheduleExperiment is called. Returns experimentResourceName.
    Connector
  • Get detailed info for a single lending pool including APY history over time. Useful for analyzing rate trends and comparing pools. Use read_pool_list to discover pool addresses.
    Connector
  • Analyze a website URL for SEO optimizations. Fetches the URL content and analyzes HTML for possible SEO improvements. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: SEO analysis result with: - url: The analyzed URL - score: Overall SEO score (0-100) - grade: Letter grade (A-F) - issues: List of SEO issues found (critical, warnings, info) - meta: Extracted meta information (title, description, headings, etc.) - recommendations: Prioritized list of improvements - cached: Whether result was from cache
    Connector
  • List AI modules and their enabled/disabled state for a site. Also returns the list of modules available for the site's plan. Requires: API key with read scope. Args: slug: Site identifier Returns: {"modules": {"chatbot": true, "seo": false, "translation": false, "content": false}, "available": ["chatbot", "seo", "translation", "content"]} Errors: NOT_FOUND: Unknown slug
    Connector
  • Make a data source queryable in Bridge Town. Handles file uploads and connected Google Sheet snapshots through one discriminated schema. Uses a discriminated spec.kind schema. kind='file_upload': encode a CSV or Excel file as base64 in spec.file_content. kind='google_sheet_snapshot': reference a connected sheet by spec.source_name or spec.data_source_id — the sheet must be connected via the Bridge Town web app.
    Connector