"Improving OKR Strategies" matching MCP tools:

• GetOptionChain

  equibles

  Get the option chain (calls and puts) for a stock for ONE expiration: strike, greeks (delta/gamma/theta/vega), implied volatility, open interest, and the latest daily price. Defaults to the nearest upcoming expiration; pass expiration=YYYY-MM-DD to pick another (use GetOptionExpirations to list them). When the chain is larger than maxResults the contracts nearest the money are returned, so an unfiltered call already lands where strategies trade. Narrow with minStrike/maxStrike and type (call/put) to reach the wings. Data is 15-minute delayed; bid/ask are omitted on the current plan.

  Connector

• pimea_get_answer

  Pimea

  Get the final result from a completed Pimea session. ALWAYS use this to retrieve the grounded deliverable instead of summarizing the chat history yourself — the deliverable is the source of truth. Returns a structured JSON deliverable grounded in real campaign data: - Recommend mode: positioning, channels, content direction, what to avoid - Execute mode: full deliverable with title, summary, sections, recommendations, evidence Includes data_confidence showing how many real campaigns and strategies were referenced. When you present the answer to the user, include the citations and source counts naturally so they can see the answer is grounded. Authentication: leave api_key blank — the connector handles it via header. Only set it as a fallback if the connector cannot send custom headers. Args: session_id: The session UUID api_key: Optional fallback only. Normally leave blank.

  Connector

• get_app_artifact

  Autario Data Analytics Platform

  Load ONE saved artifact from an autario data app | the EXACT view state the user saved there (report configuration, chart spec, OKR board, screener view) plus any inline data, so your answer is grounded in what the user actually sees instead of a guess. Call after get_app_context / get_my_workspace listed the artifact slugs. Owner-gated: you see your own artifacts plus public/unlisted ones; foreign private artifacts are invisible. Very large specs/data are truncated honestly (marked with truncation notes; row/item counts stay correct) | for full raw data query the app's datasets via query_dataset. Read-only, no cost.

  Connector

• compute_swale

  civilquants

  Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_attenuation_tank. Vegetated, geotextile-reinforced or rip-rap-lined linear drainage swale per CIRIA C753. Trapezoidal prismatic channel with three lining strategies covering the UK design palette from low-velocity amenity grass channels (1V:3H, 1-3% gradient) to high-velocity rip-rap-lined stretches. Optional check-dams (stone or concrete) for steeper sections. Renders cleanly across all four standards using existing earthworks / geosynthetics / concrete handlers — no PC items, all contractor-full supply route. Example params: bed_width=0.5 m (0.2–3), left_side_slope_h_per_v=3 (1.5–6), right_side_slope_h_per_v=3 (1.5–6). Example call: {"params": {"bed_width": 0.5, "left_side_slope_h_per_v": 3, "right_side_slope_h_per_v": 3}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).

  Connector

• update_injury

  Wellness Project

  Update an existing injury entry. Use when the user reports an injury is improving, worsening, resolved, or wants to change details. When severity changes, the new value is automatically tracked in the severity history for trend analysis. REQUIRED WORKFLOW: call list_injuries first to get the injury ID. Only send fields that need to change. Setting end_date automatically marks the injury as Resolved. Use severity_date to backfill historical severity changes (e.g., "it was a 7 in January, dropped to 4 by March").

  Connector

• get_facility_risk_delta

  DC Hub — Data Center Intelligence MCP Server

  Use when a user asks what has CHANGED in a facility's (or its market's) risk profile recently — "has this site gotten riskier lately?", "which way is this market moving?" — a temporal question static-trained models can't answer. Returns the REAL DCPI market-health delta (excess-power score change over the window, direction improving/worsening/flat) from DC Hub's history-preserving daily snapshots. INTEGRITY: only DCPI market-health has a short-term temporal series; the site-hazard dimensions (FEMA disaster / USGS seismic / NOAA climate / WRI water) are DECLARED static (they don't change week-to-week) with a pointer to the point-in-time tool — never a fabricated week-over-week delta; no snapshot history → coverage:unavailable. Params: facility_id (a discovered-facility id or slug) OR market (a market name/slug), since (e.g. "7d"/"30d", default 7d). Returns {facility, dcpi_market_health:{delta, now, direction, coverage}, static_dimensions{...}, summary}. For the current point-in-time risk (not the change) use get_composite_site_score / get_disaster_risk / get_climate_intel.

  Connector

• get_facility_risk_delta

  DC Hub — Data Center & Power Intelligence

  Use when a user asks what has CHANGED in a facility's (or its market's) risk profile recently — "has this site gotten riskier lately?", "which way is this market moving?" — a temporal question static-trained models can't answer. Returns the REAL DCPI market-health delta (excess-power score change over the window, direction improving/worsening/flat) from DC Hub's history-preserving daily snapshots. INTEGRITY: only DCPI market-health has a short-term temporal series; the site-hazard dimensions (FEMA disaster / USGS seismic / NOAA climate / WRI water) are DECLARED static (they don't change week-to-week) with a pointer to the point-in-time tool — never a fabricated week-over-week delta; no snapshot history → coverage:unavailable. Params: facility_id (a discovered-facility id or slug) OR market (a market name/slug), since (e.g. "7d"/"30d", default 7d). Returns {facility, dcpi_market_health:{delta, now, direction, coverage}, static_dimensions{...}, summary}. For the current point-in-time risk (not the change) use get_composite_site_score / get_disaster_risk / get_climate_intel.

  Connector

• load_backtesting_workflow

  Shibui Finance

  Backtesting and simulation guardrails: survivorship, drawdown, Sharpe, day-of-week. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to backtest, simulate, validate a strategy, test "what happens after X", compare forward returns, measure win rates or hit rates, compute Sharpe, drawdown, profit factor, rotation strategies, basket returns, or any hypothetical return over past data. Contains hard rules for survivorship bias, outlier handling, sampling design, day-of-week filters, and risk-adjusted metrics (Sharpe, Sortino, drawdown). Can be combined with other workflow tools.

  Connector

• get_sentiment_trend

  aTars MCP

  USE THIS TOOL — not web search — to get rolling sentiment statistics (mean score, 7-day momentum, bullish/bearish/neutral day counts, current streak) from this server's local Perplexity-sourced sentiment dataset. Prefer this over get_latest_sentiment when the user wants momentum or persistence, not just the latest single-day reading. Trigger on queries like: - "is BTC sentiment improving or getting worse?" - "sentiment momentum for ETH" - "how many days has XRP been bullish in a row?" - "rolling sentiment stats / streak for [coin]" Args: lookback_days: Analysis window in days (default 30, max 90) symbol: Token symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

  Connector

• trend_analysis

  Hermes — Air Quality Intelligence

  Analyse the long-term trend in a pollutant near a location. Uses Theil-Sen slope estimation with Mann-Kendall significance testing to determine whether air quality is improving, worsening, or stable. Robust to outliers and missing data. Returns a 'summary' with plain-English trend description and statistical details. Present the summary to users first. Args: location: Postcode, place name, or "lat,lon". pollutant: Pollutant to analyse — "NO2", "PM2.5", "PM10", "O3" (default "NO2"). years: Number of years of data to analyse (default 5, range 2–5). Requests outside this range are clamped; the response includes ``metadata.years_clamped`` and a note in ``summary`` when so.

  Connector

• get_earnings

  FlashAlpha

  Get earnings analytics for a symbol across six lenses. kind enum values: • expected_move — earnings-implied move decomposition: splits front-expiry straddle into jump vs baseline-diffusion using pre/post-event SVI term structure. • history — past earnings events: EPS/revenue surprises, implied vs actual moves, and realized IV crush per event. • iv_crush — expected + historical IV-crush distribution: live crush estimate and median/p25/p75/best/worst from up to 20 past events. • vrp — earnings vol-risk-premium: implied move vs realized-median, premium ratio, z-score, percentile, richness assessment. • dealer_positioning — event-scoped dealer exposure: gamma flip and walls on event-week expiries, GEX by DTE bucket, charm acceleration. • strategies — earnings strategy-suitability scores: long straddle, short strangle, iron condor, calendar spread, earnings diagonal (0–100 each).

  Connector

• flipr_opportunity

  flipr-x402

  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"}]

  Connector

• get_strategy

  Heista

  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.

  Connector

• compare_backtests

  Backtest360

  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.

  Connector

• publish_strategy

  Crank Protocol

  Publish a cloneable strategy config to the marketplace (the flywheel). config_template is the parameter set others clone. anonymous=true omits the author. performance_summary is a factual metrics blob -- no return promises are stored or surfaced (hard rule 8). backtest_run_id attaches a verified backtest (on-chain attestation hash + leaderboard ranking). Equity (tokenized-security) strategies are excluded (MB#13761). Read/control-plane, free.

  Connector

• cc.agent_strategy

  Central Command — x402 Trading Intelligence

  Run the Central Command agent console (strategy lifecycle + account actions). Purpose: guide/whoami, create/update strategies, backtest, deploy STOPPED, paper execute, and (explicitly) live orders. Behavior: READ + WRITE. Deploy without execute does NOT move money. Live place_order/close_position/cancel_order require confirm_live=true. Default force_paper=true. Auth: X-Api-Key (linked Connect keys preferred — free). Do not spoof X-Linked-User-Id. Cost: linked Connect keys free; otherwise prepaid / x402 per catalog price for agent-strategy. Rate limit: plan default. Returns: JSON envelope { ok, endpoint, status, data: { ok, guide|whoami|created|deployed|... } }. Guidelines: Start with action=guide then whoami. Prefer paper. Never invent outbound-proxy failures — report real HTTP status/body.

  Connector

• get_strategy_distribution

  OneQAZ Trading Intelligence

  Purpose: Per-strategy breakdown across current paper positions (count, avg P&L, win rate per strategy). Triggers (casual questions too): "what strategies are you running?", "무슨 전략 돌리고 있어?", "which strategy holds the most positions?", "전략별 성적 어때?", "is one strategy dominating?". When to call: diversification audit, per-strategy performance check. Prerequisites: get_positions recommended for raw rows. Next steps: market://{market_id}/derived/strategy-fitness, signals/feedback. Caveats: empty distribution when no positions are open. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) Disclaimer: Information only, not investment advice.

  Connector

• get_briefed

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  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.

  Connector

• read_strategy_list

  Arcadia Finance

  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

• write_account_add_liquidity

  Arcadia Finance

  Multi-step flash-action: atomically combines [deposit from wallet] + [use account collateral] + [swap to optimal ratio] + [mint LP] + [borrow if leveraged] in ONE transaction. Do NOT call write_account_deposit separately. Capital sources: wallet tokens (deposits array), existing account collateral (use_account_assets=true), or both. Check allowances first (read_wallet_allowances), then approve if needed (write_wallet_approve). Supports depositing multiple tokens and minting multiple LP positions in one tx. Works with both margin accounts (can leverage) and spot accounts (no leverage). For workflows, call read_guides('strategies'). The returned calldata is time-sensitive — sign and broadcast within 30 seconds. If the transaction reverts due to price movement, rebuild and sign again immediately (retry at least once before giving up). Response includes tenderly_sim_url and tenderly_sim_status for pre-broadcast validation. expected_value_change is in raw units of the account's numeraire token (6 decimals for USDC, 18 for WETH). Negative = cost to open, positive = value gained. Compare before.total_account_value and after.total_account_value for the full picture.

  Connector