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205,112 tools. Last updated 2026-06-15 04:06

"Target" matching MCP tools:

  • "Drug target profile for [gene]" / "is [gene] a druggable target" / "[gene] target info" / "target ID [ENSG...]" — fetch a drug-target profile (Open Targets uses Ensembl gene IDs as target identifiers). Returns approved symbol, name, biotype, protein IDs, pathways, synonyms. Use for target characterization in drug discovery.
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  • Fetch + parse the target domain's robots.txt — sitemaps, per-User-agent allow/disallow rules, crawl-delay, Host directive. Use BEFORE crawling/scraping a target site (seo_audit, brand_assets, redirect_chain) to honour the site's published rules. status_code=404 means no robots.txt exists = implicit allow-all per RFC 9309 §2.4. ContrastAPI fetches with `User-agent: ContrastAPI/<version> (+https://contrastcyber.com/bot)` so site operators can identify + opt out via robots.txt; we honour `Disallow: /` for our UA in seo_audit and brand_assets. Per-target eTLD+1 throttle (60 req/min) prevents weaponising this endpoint against a single site; subdomain rotation collapses to the same bucket. Free: 30/hr, Pro: 500/hr. Returns {domain, fetched_url, status_code, sitemaps, user_agents:{ua:{allow,disallow,crawl_delay}}, host, truncated, summary}. Returns 502 ErrorResponse if the target rejected the connection (DNS/TCP/TLS failure); the agent should NOT assume "no robots" in that case — it's an upstream-failure signal.
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  • Post a new comment on any target in a workspace: a row, a cell, a doc text range, an html element, an entire surface, or the workspace itself. Polymorphic target shape mirrors the REST POST /api/workspaces/:slug/comments. For threading, pass `parentId` to hang the new comment as a reply (the server flattens nested replies to single depth and auto-unresolves a resolved parent). Mentions are an array of `{ kind: 'user'|'agent', id, label }` triples; the server validates each mention's access to the workspace before accepting. Fires `comment.added` (and `comment.unresolved` when a reply reopens a resolved parent). For replies to existing comments where you don't want to reconstruct the target, prefer `reply_to_comment` which derives the target from the parent. Editor or commenter role required.
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  • Get adjacent norms (paragraphs/articles) before and after a target provision in document order. Use when a legal question may span consecutive provisions or when surrounding context is needed to understand a norm's scope. Requires a norm_id from a prior legal_search or legal_lookup result. Returns the target norm plus up to 10 neighbors in each direction. For a law-wide overview rather than just neighbors, use legal_get_toc.
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  • Update a campaign's bidding strategy. Supports: TARGET_CPA (set a target cost per acquisition), MAXIMIZE_CONVERSIONS (optionally with a target CPA cap), MAXIMIZE_CONVERSION_VALUE (maximize total conversion value, optionally with a target ROAS — required for PMAX value-based bidding), TARGET_ROAS (target return on ad spend), MAXIMIZE_CLICKS (optionally with cpcBidCeiling), MANUAL_CPC, TARGET_IMPRESSION_SHARE (presence-based — 'just win' on a given SERP position, ideal for brand campaigns). For TARGET_CPA, targetCpa is required (in dollars). For MAXIMIZE_CONVERSIONS, targetCpa is optional (acts as a cap). For TARGET_ROAS and MAXIMIZE_CONVERSION_VALUE, targetRoas is required/optional respectively (e.g. 2.0 = 200% ROAS). For TARGET_IMPRESSION_SHARE, impressionShareLocation, locationFraction, and cpcBidCeiling are all required — Google will not accept this strategy without all three. For MAXIMIZE_CLICKS, cpcBidCeiling is optional (defaults to effectively uncapped). Passing cpcBidCeiling with any other strategy is rejected. Returns a changeId for undo support.
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  • Ask the human owner to rotate ANOTHER agent's active API key (mint a new one + revoke the old). Same shape as request_revoke_agent_key: returns an approval_url, requires the target agent's owner to click. The new key plaintext is INTENTIONALLY not returned to the requesting agent; it's surfaced only to the human owner via Settings → Agents, who hands it to the target agent out of band. Use when you've spotted leakage and the target needs a clean credential without going dark mid-task.
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  • Open Targets disease/target/drug knowledge graph (GraphQL)

  • DeepL translation: translate, usage, source/target languages. Free 500k chars/mo.

  • INVERSE of simulate_mmc — given an arrival rate, service rate, and a target average wait time, returns the SMALLEST number of servers needed to meet the target. Use this when the user asks 'how many servers do I need?' / 'what staffing keeps wait under N minutes?'. The tool runs a binary search over candidate server counts (up to maxServers, default 50), invoking the simulator for each candidate. Saves Claude from iterating simulate_mmc 3-5 times by hand. If even maxServers servers can't meet the target, the recommendation is null and the response includes the achieved wait so Claude can explain that the target is infeasible at the given load. ANTI-FABRICATION: `recommendedServers` and `achievedAvgWaitMinutes` come from real DES runs. Quote them VERBATIM. Do not propose a different number you think 'feels right'; this tool already binary-searches for the minimum that meets the target. If the user asks 'what if c=N?' for a specific N, call simulate_mmc with that c.
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  • KILLER ANALYSIS: given a target KPI + multiple candidate indicators, rank which candidates best predict the target by correlation strength. Perfect for "what moves my KPI?" questions. Returns ranked list with r, p-value, R² for each candidate. Maximum 30 candidates per call.
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  • As a CFO, identify cross-border M&A arbitrage opportunities by comparing target company valuations across different jurisdictions. Inputs include target company ticker, primary and secondary jurisdictions, and valuation metrics. Outputs include valuation gaps, FX-adjusted multiples, and jurisdiction-specific premiums/discounts. Uses real-time ECB FX rates, Yahoo Finance market data, and SEC EDGAR filings for public companies. Ideal for quick assessment of potential arbitrage in M&A scenarios.
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  • Scrape a domain's homepage `<head>` for public brand assets — favicon, og:image, theme-color, og:site_name, JSON-LD `Organization.logo`. Use to enrich CRM records, build company-card UIs, or correlate a lead's site to their visual identity (no manual screenshot required). Strictly homepage-only (path `/`); we do NOT crawl. Ethical floor: target's robots.txt is honoured — `Disallow: /` for ContrastAPI OR `*` returns 403 `error.code = robots_txt_disallow` and we DO NOT fetch. `Cache-Control: no-store` / `private` from the target is respected (response is built but NOT written to our cache; `cache_respected=false` flags this). Per-target eTLD+1 throttle (60 req/min) prevents weaponising via subdomain rotation. All URL fields are absolute and `_untrusted` (DO NOT execute or shell-out — the target controls these strings). Free: 30/hr, Pro: 500/hr. Returns {domain, fetched_url, status_code, favicon_url_untrusted, og_image_url_untrusted, theme_color, site_name_untrusted, logo_url_untrusted, cache_respected, summary}. Returns 502 on DNS/TCP/TLS failure; 403 `robots_txt_disallow` when the target opted out.
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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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  • "What drugs target [gene]" / "approved drugs against [target]" / "clinical-trial drugs for [gene]" — drugs that have been clinically tested or approved against a drug target (Ensembl gene ID). Returns drug names, mechanisms, indications, clinical trial phases. Use for competitive landscape / drug-repositioning queries.
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  • Fetch analyst buy/sell/hold consensus ratings, current price targets (low, high, mean, median), and the full history of analyst upgrades and downgrades with firm name, fromGrade, toGrade, and action. Use this tool when: - You want to know the current Wall Street consensus on a stock - You need analyst price target range (upside/downside to target) - You are tracking rating changes from major research firms Source: Yahoo Finance via yfinance. No API key required.
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  • Single-target lookup: ticker, name, or contract→rows. Chain fixes address clashes. Filtered lists→search_coins. Boards→get_coin_rankings.
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  • Fetches all LinkedIn Ad Accounts the authenticated user has access to. Returns their URN ID, name, currency, and status. Use this to find the target Account ID.
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  • Get the blended target APY for a Forge profile: base USDC yield + FORGE boost. Returns structured JSON with profile metadata, target allocation by adapter, and a disclaimer. Format: "X% USDC + Y% FORGE (blended target)". APY is a blended target across conservative allocation weights; not a guarantee. Sepolia uses MockYieldAdapter until mainnet adapters are live. Conservative deposits Core only (single leg). Balanced returns two legs (50% Core / 50% Middle). Aggressive is not live. Gas: Core 4M, Middle 6M+ on mainnet.
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  • Delete a note by ID from the target notebook. Same identity rules as notes.save — agents can only delete from their own notebook.
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  • Select the best advertisers based on website demographics. Matches advertisers to website content based on classification demographics. Provide either a URL (classification will be fetched) or demographics directly. Rate limited to 1 request per minute per domain when using URL. Scoring weights: - Category match: +10 points - Age match: +5 points - Gender match: +3 points - Sentiment match: +2 points - Higher CPM bid as tiebreaker Args: url: URL to match advertisers for (fetches classification from cache). category: Target category (e.g., "Sports", "Automotive"). subcategory: Target subcategory. age: Target age group (e.g., "18-24", "25-34", "31-51"). gender: Target gender ("male", "female", or "all"). sentiment: Content sentiment ("Good", "Neutral", or "Bad"). limit: Number of advertisers to return (1-10, default 3). min_cpm: Minimum CPM cost filter (e.g., 5.0 for $5+ CPM). max_cpm: Maximum CPM cost filter (e.g., 10.0 for $10 or less CPM). Returns: Dictionary with: - matches: List of matched advertisers with scores - match_count: Number of matches found - classification: URL classification (if URL provided) - demographics: Provided demographics (if no URL)
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  • Translate all string values in a JSON object or array to any target language. Preserves JSON structure, keys, and non-string values. Auto-chunks large payloads. Ideal for i18n locale files.
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