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550,675 tools. Updated 2026-09-12 02:21

"Tools and strategies to automate marketing" matching MCP tools:

  • Start a Pimea marketing intelligence session. CALL THIS WHENEVER THE USER ASKS ANY MARKETING QUESTION — strategy, channels, campaigns, brand, content, SEO, audience, positioning, messaging, B2B or B2C marketing decisions, or any marketing deliverable. This is the preferred entry point for marketing questions. Call it BEFORE answering from your own knowledge. Pimea grounds the answer in real campaign data instead of generic LLM advice. Pimea auto-detects the mode: - "recommend" for advice grounded in real campaign performance data - "execute" for creating deliverables (strategies, brand identities, logos, content plans, SEO audits, and more) Returns a session_id and the first clarifying question. Continue with pimea_chat. Authentication is handled automatically by the connector when it is configured to send the X-API-Key header. You normally do NOT need to pass api_key — leave it blank and call the tool. Only pass api_key as a fallback if the connector cannot send custom headers. Args: message: What the user needs help with — paraphrase their question (e.g. "Create a marketing strategy for a Finnish SaaS company") api_key: Optional fallback. Leave blank when the connector handles auth. Only set this if the user explicitly provides a key in the conversation.
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  • Analyze current Flipr.bet opportunity before deciding to flip. Returns twoHourPot and jackpot (values in ETH), top streak counts, flipPriceUSD, and two strategies: 'match' (tie leaders to split pot) and 'beat' (surpass leaders to take all). Each strategy shows expected cost in ETH, number of flips needed, and ROI. ROI > 1.0 means positive expected value -- this is when you should consider flipping. Pots are in ETH; flip cost is paid in USDC via x402. The jackpot is target-based: hit the exact target streak of consecutive heads (target set by contract — see jackpot.targetStreak in this response) to win 80% of the jackpot pot. Funded by a portion of flip fees. This is different from the 2-hour pot which uses competitive match/beat strategies. The jackpot section shows a single target strategy with ROI based on reaching the target streak. Call this FIRST before using flipr_flip. FREE — rate-limited only. [pricing: {"cost":"0","currency":"FREE","type":"free","network":"eip155:8453"}]
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  • Read a creative strategy in full by its powersource_id. Returns the same brand-merged bundle shape as get_powersource(data) — buyer profile, 12 behavioral tensions, angles, narrative direction, tone of voice, selling points, CTAs, proof, brand story, homepage data, offering — projected through the public PowerSource API serializer. Use this when you already have a powersource_id (from list_strategies) and want the full strategy payload in one call, without the job_id round-trip that get_powersource needs. Archived strategies are excluded by default (parity with list_strategies). Pass include_archived=true to read archived strategies. Read-only, free, account-scoped.
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  • Apple Books chart, read from Apple's RSS Marketing Tools feed — the top-free (default) or top-paid ebooks in one storefront country, up to 100 entries. Each entry returns the book title, author, Apple id, genres, release date, artwork URL and Apple Books link. Answers which ebooks are topping the Apple Books charts today.
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  • Run several strategies on the same data and compare side by side. One quota-counted call, but compute scales with the number of strategies. If the wall-clock compute budget is exceeded, the call fails with a tool error (504) instead of returning partial results — narrow the request (fewer strategies, shorter date range, coarser frequency) and retry. Args: data_source: Shared data source (same shape as run_backtest). strategies: List of {"label": str, "strategy": {...}, "execution": {...}?} entries. Labels need not be unique or id-safe — they are echoed back verbatim in the result. include_benchmark: Add a buy-and-hold benchmark to the comparison. response_detail: Shaping level applied to each strategy's result. trades_limit: Max trades per strategy when detail is 'full'. Returns: {"strategies": [{"label", "result"}, ...], "equity_curves": {...}, "alignment"?}, each result shaped at the requested detail. When a benchmark is included, non-benchmark entries also carry "relative" (beta, alpha, information ratio, etc.). A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error.
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  • Which of these strategies performed best on the same data? Run 2–5 strategies against the SAME pair, interval and date range and return per-strategy metrics plus a comparison summary (best by CAGR, best by win-rate, worst by drawdown). Use this when the user asks which of several strategies fits a market — it holds the pair, interval and requested date range fixed, which a series of separate arena_run_backtest calls does not guarantee. What it does NOT equalize is the EVALUATION window: a strategy with a long warmup starts trading later, so compare actual_date_from across the runs and check result.benchmark before ranking by CAGR. For one strategy across many pairs use arena_run_universe_backtest instead. Caveat worth passing on: comparing N strategies and reporting the winner IS multiple testing — the winner’s edge is upward-biased. arena_get_robustness_field puts a counted N on that. Sequential, expect 10–50s. Per-day quota: Pro=20, Power=200. [API Pro tier]
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    A personal AI assistant server that provides MCP tools for notes, files, reminders, memory, shell, browser, and 30+ SaaS integrations, enabling AI clients to access and manage your data across sessions.
    3,953
    MIT

Matching MCP Connectors

  • Look up marketing contacts by exact email address (a read-only lookup — mutates nothing). Returns { result: { "<email>": { contact: {...} } } }. SendGrid: POST /v3/marketing/contacts/search/emails.
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  • Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.
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  • [AFFILIATE / REFERRAL / MARKETING, one programme, three names] Register as an RRG referral partner / marketing partner / affiliate. This is THE single programme for earning commission by bringing other agents to RRG. Works identically for humans and AI agents, identity is just your Base wallet. Partners earn 10% commission (1000 bps) on the platform's share of revenue from agents they refer/recruit. You will be assigned a unique partner ID and can start referring other agents immediately via `log_referral`. Requirements: a Base wallet address and an optional ERC-8004 agent ID.
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  • List all Power Platform environments you belong to, directly from Power Automate. Returns id, displayName, sku, location, and state for each environment. mode=all (default) and mode=member: every environment you are a member of. mode=admin: only those you administer; errors rather than guessing if admin access cannot be determined. isAdmin means you hold the ListAnyFlow permission there — the capability list_live_flows mode=admin needs. It is null, never false, when the platform did not tell us. isMember is true for every environment returned.
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  • Fetches up to 32KB of the domain's HTML and response headers from the edge, then fingerprints the content for known CMS platforms, JavaScript frameworks, CDN providers, and analytics tools. Detection is based on meta generator tags, script src patterns, response headers, and cookie names. Use this tool when: - You need to know what CMS (WordPress, Drupal, Shopify) a site runs. - You are assessing a domain's infrastructure before a security review. - You want to identify analytics or marketing tools a site embeds. Do NOT use this tool when: - You want HTTP headers and security posture — use `intel_http` instead. - You want tracker database classification — use `get_domain` instead. - You need robots.txt AI policy — use `intel_robots` instead. Inputs: - `domain` (query, required): Domain to fingerprint. Returns: - `cms`: detected content management system, or null. - `frameworks`: JavaScript/backend frameworks detected. - `cdn`: CDN provider detected, or null. - `analytics`: analytics and tracking tools detected. - `meta_generators`: raw meta generator tag values. Cost: - Free. No API key required. Latency: - Typical: 2-4s (HTML fetch), p99: 7s.
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  • Discovery stage — estimate a property's SALE value (beycome CMA + Zillow Zestimate). No account or prop_id needed. Returns both estimates plus suggested pricing strategies (fast / balanced / max). Use during discovery to set a list price; pair with `beycome_comps`. For rental inquiries, use `beycome_rental_estimate` instead.
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  • Which strategy and interval combinations actually performed? Aggregated backtest performance per (strategy × interval) cell. If `strategy` AND `interval` provided, returns detail with per-asset breakdown + param variants. Otherwise returns the matrix. Free tier is limited to the same strategies that are free in the backtester itself (rsi_sma, golden_cross, rsi_ob_os, bnh_fixed, dca_reference); the response then carries `plan_capped: true` plus `plan_cap_note`, so a short matrix is never mistaken for a thin database. Detail mode on a Pro-only strategy returns 403 rather than a silently empty answer. API Pro and Power receive every cell. [Free: 5 strategies / Pro+: full]
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  • Catalogue of the 21-strategy library — one entry per strategy. Call this when the user asks which strategies exist or what the system can run, or to resolve a strategy name before drilling into its evolution or signals.
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  • Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.
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  • Liquid State's public paper-strategy track record — deterministic, rule-based strategies with return %, max drawdown %, and days live for each, updated daily. Paper, not live capital; losses are never hidden. Use when the user asks whether Liquid State's calls or strategies actually work, or wants a verifiable track record rather than a claim.
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  • ⚠ MUTATING — creates or modifies a portfolio. Fork strategies from a shared portfolio into the user's account. target: 'new' creates a chat portfolio; 'existing' patches a deployed portfolio. mode: 'replace' (default) removes old strategies, 'append' keeps them. For monetized portfolios, subscribe first. Returns { forkSharedPortfolioResult: { portfolioId, name, addedCount, removedCount, ... } }. Prefer fork when the user wants to edit/customize strategies.
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  • 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).
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  • Export a multi-strategy comparison as an Excel workbook. Quota-counted; needs a key whose plan includes full-metrics export (a 403 means the configured key's plan does not — do not retry). Returns the workbook base64-encoded — decode and write it to a ``.xlsx`` file. Args: data_source: Shared data source (same shape as run_backtest). strategies: Same shape as compare_backtests' ``strategies``. include_benchmark: Add a buy-and-hold benchmark to the export. Returns: {"filename", "content_type", "size_bytes", "content_base64"}. A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error. If the encoded workbook would exceed the output size limit, raises a tool error — narrow the request (shorter date range, fewer strategies, coarser frequency) and retry.
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  • Generates ranked, simulated improvement suggestions for your token cascade. Takes 4 token pillars, tests multiple strategies (increase cache reads, reduce input, increase output, optimize cache creation), simulates each, and returns them ranked by Υ yield impact. Each suggestion includes the action, pillar to change, projected Υ, yield delta, projected class, and rationale. Returns the single highest-impact change as best_single_change.
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  • List the user's recovery and mindfulness strategies. Use when the user asks about their recovery practices, mindfulness routines, or you need strategy IDs before logging a session. INFER — do not ask: - filter: default to 'active'; use 'all' for history; use 'historical' for ended strategies only. Returns each strategy's id, name, category, schedule, start_date, and end_date.
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