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304,908 tools. Last updated 2026-07-21 22:56
"Using Cursor AI for various purposes" matching MCP tools:
- List the municipalities ZoningVerdict covers, with each pack's version and last-reviewed date. Coverage is reviewed summaries of public zoning ordinances, for information purposes only. Start here when you do not have a street address; with an address, start with resolve_parcel_district.Connector
- List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.Connector
- Combined AI market assessment: macro regime + market outlook in a single call. Produced every ~4 hours by the market intelligence pipeline. Two distinct perspectives returned together: - REGIME (RISK_OFF/CAUTIOUS/NEUTRAL/AGGRESSIVE): answers "how much equity risk to take" → use for position sizing and asset allocation decisions - OUTLOOK (BULLISH/NEUTRAL/BEARISH): answers "which direction and sectors to trade" → use for sector preference and directional bias Both share the same pipeline run so they are always in sync. - history_count: include last N prior assessments for each (0-3, default 0) - regime_*: risk posture fields — regime, regime_bias, regime_confidence, regime_rationale, key_risks, watch_for, vix_at_assessment, regime_updated_at - indicators.macro_data: FRED macro data (yield curve, Fed funds, cpi_index, unemployment, M2) - indicators.volatility_term_structure: VIX spot/3M/6M term structure + contango signal - indicators.market_sentiment: CNN Fear & Greed value and label - market_context: price/RSI/SMA200/perf snapshot of SPY/QQQ/IWM/TLT/GLD/VIX/TNX + sectors NOTE: point-in-time snapshot recorded when AI ran — not live prices (use get_market_pulse for live) - outlook_*: directional fields — outlook, outlook_conviction, equity_view, preferred_sectors, avoided_sectors, catalyst, outlook_key_risk, outlook_rationale, outlook_updated_at Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.Connector
- All 11 market sectors in one call — signals, breadth, and momentum for rotation analysis. Where get_sector_intelligence gives deep analysis for one sector, this gives the rotation picture across all sectors simultaneously. Use for: identifying sector rotation, finding leading vs lagging sectors, spotting breadth divergences, allocating capital across sectors. Returns per sector (sorted by signal strength, LEADING first): - signal: LEADING | STRONG | NEUTRAL | WEAK | LAGGING - confidence: 0-10 - alert: notable condition (narrow breadth, extreme RSI, etc.) - avg_rsi: sector-average RSI - sma200_breadth_pct: % of stocks in sector above their 200-day MA - oversold_pct / overbought_pct: RSI distribution extremes - perf_1w_pct / perf_1m_pct: average sector performance - updated_at: when this sector was last assessed by the AI pipeline - history_count: include last N prior signal states per sector (0-3, default 0) Pro tier only — AI-enriched sector signals. For informational purposes only. Not financial advice.Connector
- Get the most recent releases, optionally filtered by product or organization. Excludes prereleases (canaries / alphas / betas / RCs) by default — pass `include_prereleases: true` to include them. Cursor-paginated: pass `limit` for slice size (default 10), `cursor` to continue from a prior call. The result's `_meta.pagination` carries `kind: 'cursor'`, `hasMore`, and `nextCursor` when more rows exist; the response text echoes `nextCursor` so an LLM caller can chain without parsing `_meta`. Cursors are stable under inserts — a release added between calls won't shift the slice.Connector
Matching MCP Servers
- Flicense-qualityCmaintenanceMCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.Last updated
- AlicenseBqualityCmaintenanceBridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.Last updated13MIT
Matching MCP Connectors
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data
- Get an indicative spot FX rate for a currency pair. Returns rounded bid, ask, and mid rates for illustration purposes only — not for execution. Example: base=GBP, quote=USD returns the GBPUSD rate.Connector
- Interleaved cross-org release feed for a collection — same shape as `get_latest_releases` but scoped to the collection's member orgs. Cursor-paginated: pass `limit` for slice size (default 20), `cursor` to continue from a prior call. The result's `_meta.pagination` carries `kind: 'cursor'`, `hasMore`, and `nextCursor` when more rows exist; the response text echoes `nextCursor` so an LLM caller can chain without parsing `_meta`. Cursors are stable under inserts.Connector
- Top AI-flagged news across all tracked stocks — the market-wide news briefing. Unlike get_stock_news (per-symbol), this scans the entire universe and returns the most notable articles ranked by AI flag score, newest first within each score tier. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_flag_score: minimum AI flag score (default 8, min 5, max 10) 8 = notable · 9 = high-impact · 10 = exceptional - days: look-back window in days (default 3, max 10) - limit: max articles returned (default 10, max 25) - Per article: symbol, title, published_at, ai_sentiment, ai_flag_score (0-10), ai_summary (full text), ai_confidence (0-10) Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.Connector
- Submits a demo request. The prospect receives a confirmation email and must click the link in it before the request reaches a human at A Cloud Frontier. Use only when a real person has explicitly asked for a demo and provided their own working email address. Do NOT call this for testing, evaluation, or crawling purposes — automated and unconfirmable requests are rejected.Connector
- Top AI-flagged news across all tracked stocks — the market-wide news briefing. Unlike get_stock_news (per-symbol), this scans the entire universe and returns the most notable articles ranked by AI flag score, newest first within each score tier. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_flag_score: minimum AI flag score (default 8, min 5, max 10) 8 = notable · 9 = high-impact · 10 = exceptional - days: look-back window in days (default 3, max 10) - limit: max articles returned (default 10, max 25) - Per article: symbol, title, published_at, ai_sentiment, ai_flag_score (0-10), ai_summary (full text), ai_confidence (0-10) Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.Connector
- Return ready-to-paste configuration snippets for installing this MCP server in Claude Code, Cursor, Cline, Continue.dev, Windsurf, and Zed. Free.Connector
- Start a $49/month watch on a covered municipality (optionally one topic): an email whenever a human-reviewed rule change is published, with the citation and the updated page. Returns a Stripe checkout URL; the subscription activates only after checkout completes, and every email carries unsubscribe and billing links. Alerts are reviewed summaries for information purposes. Use list_municipalities for coverage.Connector
- Pull licensed creator content from a specific pocket by ID. Use this tool when an AI agent needs to retrieve verified, provenance-tracked content for generation, RAG, or training purposes. Do NOT use for browsing or discovery — use search_pockets or list_pockets instead. Requires a valid Bearer token for authentication; unauthenticated requests return HTTP 401. Successful pulls trigger a metered charge ($0.001–$0.25 depending on content tier) and the transaction is logged for creator royalty distribution. The pocket_id parameter is a 24-character hex string identifying the specific content pocket to pull from. Returns the full content payload with provenance metadata including creator attribution and license terms.Connector
- AI Voice Generator — Convert text to natural-sounding speech using AI — 6 voices in English and Spanish, with engine tiers for cleaner studio-grade output.. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.Connector
- AI-assessed sector intelligence: signal, cycle stage, rotation signal, drivers, alerts, and computed statistics per sector (RSI distribution, breadth, performance 1W/1M, top/bottom movers, historical percentiles). Pass a sector name for a single sector, or omit the parameter (or pass None) to get the latest assessment for all 11 sectors. Refreshed every ~4 hours by the market intelligence pipeline. Available to pro tier only (AI pipeline costs). For informational purposes only. Not financial advice.Connector
- All 11 market sectors in one call — signals, breadth, and momentum for rotation analysis. Where get_sector_intelligence gives deep analysis for one sector, this gives the rotation picture across all sectors simultaneously. Use for: identifying sector rotation, finding leading vs lagging sectors, spotting breadth divergences, allocating capital across sectors. Returns per sector (sorted by signal strength, LEADING first): - signal: LEADING | STRONG | NEUTRAL | WEAK | LAGGING - confidence: 0-10 - alert: notable condition (narrow breadth, extreme RSI, etc.) - avg_rsi: sector-average RSI - sma200_breadth_pct: % of stocks in sector above their 200-day MA - oversold_pct / overbought_pct: RSI distribution extremes - perf_1w_pct / perf_1m_pct: average sector performance - updated_at: when this sector was last assessed by the AI pipeline - history_count: include last N prior signal states per sector (0-3, default 0) Pro tier only — AI-enriched sector signals. For informational purposes only. Not financial advice.Connector
- AI-screened stock ideas actively flagged by the Stocklake pipeline. These are stocks the pipeline's AI agents have identified as worth attention — sourced from news analysis, sector screening, and sentiment signals. Parameters: - direction: "LONG" | "SHORT" | "BOTH" (default: all) - min_conviction: minimum conviction score 0-10 (default 7) - min_flag_score: minimum flag score 0-10 (default 8; 9+ = high conviction) - source: filter by signal source — "news" | "screener" | "sentiment" (default: all) - limit: max results to return (default 25, max 50) Returns: - count: number of ideas returned - ideas[]: each with symbol, direction, conviction (0-10), confidence (0-10), flag_score (0-10), source, rationale, expires - Note: ideas expire daily — active ideas represent the pipeline's current view. Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.Connector
- Save a document to AI Note cloud for multi-device sync and persistent storage. PRIMARY USE CASES: - Memory files: ~/.claude/projects/.../memory/MEMORY.md (AI context that survives device switches) - AI config files: CLAUDE.md, .cursorrules, .windsurfrules (not in git, local-only) - Local env notes: API keys reference, server credentials (NOT actual secret values) - Project notes: architecture decisions, dev diaries, planning docs MULTI-DEVICE WORKFLOW: Laptop → push: create_dev_doc(title, content, local_path="~/.claude/.../MEMORY.md") Desktop → pull: pull_dev_docs() → automatically writes files to their local paths CATEGORIES (subcategories under dev/): - memory: Claude/AI memory files (~/.claude/projects/.../memory/) - claude: CLAUDE.md files and Claude-specific configs - cursor: .cursorrules files - env: environment notes and config references - docs: general project documentation Set local_path to enable pull_dev_docs auto-sync to this machine.Connector
- Get Lenny Zeltser's fill-in-the-blank template for planning a security product strategy. Includes strategic questions organized by section with evidence columns. This server never requests your product plans and instructs your AI to keep them local—guidelines flow to your AI for local analysis. The template is Copyright (c) 2026 Lenny Zeltser; any content you create using it is entirely yours.Connector