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184,290 tools. Last updated 2026-06-08 09:59

"namespace:ai.intuitek.the-stall" matching MCP tools:

  • Build a live-show failover watchdog that switches from a primary source to a fallback when cook stalls or errors occur, with configurable crossfade and auto-recover.
    MIT
  • Analyze BBQ temperature readings to assess progress, detect stalls, estimate remaining time, and provide actionable recommendations for optimal cooking results.
  • Plan BBQ cooks by getting target temperatures, time estimates, and expert tips for specific proteins based on weight, desired doneness, and cooking method.

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    A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
    Last updated
    4

Matching MCP Connectors

  • 173 pay-per-call tools: US stocks, DeFi, crypto, Polymarket, sanctions — USDC on Base

  • Guardian Open Platform: content search, articles, sections, tags. Free dev key.

  • Detect temperature stalls during BBQ cooking by analyzing temperature trends. Identifies plateaus in large cuts like brisket and pork shoulder, then provides recommendations to manage the cook.
  • Equity market Fear & Greed composite. Four signals: VIX vs 90-day percentile, SPY vs 200-day moving average, US high-yield credit spread vs 90-day range (FRED BAMLH0A0HYM2), SPY RSI-14. Returns composite score 0–100 (0=extreme greed, 100=extreme fear) with regime label and per-signal breakdown. Distinct from market-sentiment (crypto). Use before sizing positions, adjusting portfolio risk, or routing capital. Free sources, no API keys.
    Connector
  • AI-powered claim verification. Searches DuckDuckGo, Wikipedia, Hacker News, and arXiv in parallel, then uses GPT-4o-mini to assess the claim and return a structured verdict: confirmed / contradicted / uncertain, with confidence score (0–1), supporting and contradicting evidence excerpts with source URLs, key entities, and step-by-step reasoning. Use before an agent acts on a factual assertion it received from another agent or user. $0.500/call.
    Connector
  • Evolutionary Symbolic Regression (PySR). Discovers algebraic equations y = f(x1, x2, ...) from feature/target data. Returns a Pareto front ranked by the complexity/accuracy tradeoff. Slower than SINDy (10-60s); searches often terminate early on convergence. For differential equations from time series, use sindy_run instead. Pricing: free tier up to 100 rows × 8 features, 60s timeout. Beyond that, $0.25 + $0.03 per 100 extra rows + $0.01 per extra feature squared, timeout up to 300s (5 min), via x402 (USDC on Base) or MPP/Stripe. MPP/Stripe adds a flat $0.35 per-transaction fee (Stripe processing), so the MPP challenge amount in a `payment_required` response is $0.35 higher than the x402 amount for the same base price; x402 gets the lower rate. Omit `payment` for free-tier requests; paid requests without a valid credential receive a `payment_required` result with pricing and accepted schemes. Full pricing: occam://pricing Advisory limits: jobs over 50,000 rows or 20 features are accepted but may not converge; response carries a top-level `warning`. Operators: fixed supported set only — custom operators (e.g. 'inv(x) = 1/x') are rejected. Unary: sin, cos, tan, exp, log, log2, log10, sqrt, abs, sinh, cosh, tanh. Binary: +, -, *, /, ^. See also prompt `supported_operators`. Loss metric: `loss` (in `pareto_front[].loss` and `best_loss`) is mean squared error between model prediction and `y` on the full training set — not RMSE, and not normalized by Var(y). A threshold appropriate for one dataset scales with y's magnitude, so set `loss_threshold` with that in mind (e.g. for y values near 1.0, 1e-6 is a tight fit; for y near 1000, the equivalent is 1.0). Early termination: set `loss_threshold` to stop at your noise floor. The server also stops when the search stalls (<1% improvement in the last third of the budget); disable with `stall_detection=false`. Response `stop_reason` is one of: loss_threshold, stall, timeout, natural. If `feature_names` is supplied, its length must equal the number of columns in `X`; a mismatch is rejected with a validation error. Follow-up: call `pysr_uncertainty` with a chosen expression and the same dataset for bootstrap confidence intervals on its fit constants and optional prediction bands. Rate limit: 10 requests/hour per IP, 200/hour global, max queue depth 20 (shared with sindy_run and pysr_uncertainty). Response (success) includes `pareto_front[]` (each with `complexity`, `loss`, `expression`, `expression_latex`), `best_expression`, `best_expression_latex`, `best_loss`, `best_complexity`, `stop_reason`, `elapsed_seconds`, `queue_seconds` (>0 = server saturated; use as backoff signal), optional `warning`, optional `_meta` (MPP receipt). Full response and payment-required schemas: occam://tool-schemas Example request: X=[[0.0], [1.0], [2.0], [3.0]], y=[1.0, 3.0, 5.0, 7.0], feature_names=["x"], max_complexity=10, timeout_seconds=15 Policy: occam://privacy-policy — Citation: occam://citation-info
    Connector
  • Risk screening for EVM wallet addresses. Returns a 0–100 risk score and individual flags: sanctions (OFAC/other), phishing activity, cybercrime, money laundering, darkweb transactions, mixer usage, stolen funds, fake KYC, and 12 more categories. Sourced from GoPlusLabs (free, no key, chain_id optional — defaults to checking cross-chain). Use before sending funds to an unknown address, before accepting a payment, or when validating a counterparty wallet in a DeFi workflow. Distinct from evm-token-security (which screens TOKEN contracts — this screens WALLETS).
    Connector
  • Current weather conditions and 7-day daily forecast for any location worldwide. Input a city name, coordinates, or address. Returns temperature (°C), humidity, wind speed, precipitation, weather code, and a forecast with high/low temps and precipitation totals. Free upstream: Open-Meteo (no API key, no rate limits). Useful for DeFi agents tracking energy markets (cold → heating demand → gas prices), agricultural commodity prediction markets, or natural disaster risk assessment for on-chain insurance.
    Connector
  • Given a Solana transaction signature, returns a decoded breakdown: fee payer, programs invoked (Jupiter, Raydium, Pump.fun, SPL Token, etc.), SPL token balance changes with deltas, transaction fee in SOL and USD, block time, and a one-sentence human-readable summary. Uses public Solana mainnet RPC — no API key required. PROSPECTOR-class: 6 distinct wallets observed paying for this capability in organic x402 traffic. $0.07/call.
    Connector
  • AI-synthesized equity situation brief for any US stock. Gathers five signal layers in parallel — current price/52w range, RSI-14 + SMA20/50/200 trend regime, insider buy/sell activity (SEC EDGAR Form 4, last 60 days), options IV30 + put/call ratio (CBOE), and next earnings date + EPS estimate (Yahoo Finance) — then uses GPT-4o-mini to produce a structured brief: regime label, bull/bear case, dominant risk, agent implication, and a 160-word narrative. Replaces a 4-call agent chain (equity-technicals + us-stock-price + insider-trades + options-snapshot) at $0.350. Free upstreams (no API keys required for data gathering).
    Connector
  • Timezone intelligence using the IANA database (418 zones) built into Node.js. Returns current local time, UTC offset, DST status, and the long timezone name for any IANA timezone. Can also convert an ISO timestamp to one or more target timezones. Useful for scheduling agents, global operations, and time-aware data enrichment. Zero external API calls — instant response.
    Connector
  • Looks up an academic paper by DOI and formats it as BibTeX, APA, MLA, or Chicago citation. Returns full paper metadata: authors, year, journal, volume, pages, publisher. Covers 148M+ works via CrossRef (free registry). Useful for research agents building reference lists, literature review workflows, and knowledge extraction pipelines.
    Connector
  • FEC campaign finance lookup — search all US federal political donations by individual or organization name. Returns recent contributions (sorted newest-first) with committee names, donation amounts, election cycles, employer/occupation, and aggregate totals (total donated, number of contributions, committees supported). Official FEC Open Data, updated daily. Use for executive due diligence, political affiliation screening, ESG analysis, or investigative research.
    Connector
  • Detects testing frameworks and test coverage presence in a code snippet or GitHub repository. For code snippets: identifies test functions, assertions, mocks, fixtures, and frameworks (Jest, pytest, go test, JUnit, RSpec, etc.). For GitHub repos: counts test files vs source files, surfaces config files, and gives a coverage verdict. No code execution — pure static analysis.
    Connector
  • US Congressional stock trades (STOCK Act disclosures). Two modes: supply a ticker to get all congress member trades in that stock (with excess-return-vs-SPY performance), or omit ticker for recent market-wide congressional activity. Returns representative, party, chamber, transaction type, dollar range, dates, and historical performance vs. SPY. Sourced from Quiver Quant's STOCK Act aggregator — no API key required. $0.022/call.
    Connector
  • Real-time cryptocurrency market snapshot: top 5 gainers and top 5 losers by 24-hour percentage change (among the top 100 coins by market cap), plus the 10 largest coins by market cap with current prices and 24h change. Also returns global market statistics: total market cap (USD), BTC dominance percentage, and 24h trading volume. Stablecoins excluded from movers ranking. Use before any crypto portfolio, trading, or market analysis task to get a current regime read. Data: CoinGecko public API (refreshes every 1–5 minutes).
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