"A calculation evaluating the expression 9999519 plus 9999490" matching MCP tools:

• pysr_uncertainty

  Occam

  Bootstrap confidence intervals for the numeric constants of a frozen expression, plus optional prediction bands on an x-grid. Typical flow: call pysr_run, pick an expression from the response (best_expression or a pareto_front entry), pass it back here with the same dataset to get CIs on its fit constants. Returns frequentist bootstrap confidence intervals, not Bayesian credible intervals — posterior inference over expression structures is an open research problem. This tool freezes the expression chosen by the caller and bootstraps only its numeric constants; uncertainty about *which* expression is correct is not quantified. Bootstrap semantics: - If y_sigma is supplied, uses parametric bootstrap (y_b = y + Normal(0, y_sigma)). CI reflects user-stated measurement noise. - Otherwise uses residual bootstrap: fit once, resample residuals. CI reflects estimated-from-residuals noise. Only Float constants in the expression become free parameters. Integers stay structural (the 2 in x**2 is a function-class choice, not a fit constant). Expressions with no Float constants (e.g. "x + y") will be rejected with a validation error. Expression grammar: the `expression` string is parsed by sympy. Accepted operators are the same set pysr_run emits: unary `sin`, `cos`, `tan`, `exp`, `log`, `log2`, `log10`, `sqrt`, `abs`, `sinh`, `cosh`, `tanh`; binary `+`, `-`, `*`, `/`, `^` (or `**`). Whitespace and parenthesization are free. Every free symbol in the expression must correspond to an entry in `feature_names` — an unrecognised symbol is silently treated as a fresh sympy Symbol and the fit will fail downstream rather than reject early. Parse failures (syntax errors, malformed operators) surface as tool errors. If `feature_names` is supplied, its length must equal the number of columns in `X`; a mismatch is rejected with a validation error. Pricing: always free, regardless of dataset size. This tool has no `payment` parameter and is never subject to the x402/Stripe gate. Large bootstrap jobs still count against the shared rate limit below, so budget `n_resamples` accordingly. Rate limit: 10 requests/hour per IP, 200/hour global, max queue depth 20 (shared with sindy_run and pysr_run).

  Connector

• test_rule

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Dry-run a rule's condition_expr against a SYNTHETIC trigger payload — reports whether it WOULD have fired, but NEVER dispatches the action (no report generated, no team run, no message sent, no inbox write). Use this immediately after create_rule to sanity-check the condition before it starts evaluating against real events. Pass `sample_payload_override` to test against specific field values (e.g. `{price_change_pct: 12}`).

  Connector

• request_task_quote

  Molt2Meet

  ESCROW FLOW ONLY. Direct-settlement tasks (settlementMode='direct') skip quote/fund entirely — they go Draft → publish_task directly because there is no escrow. If you accidentally call this on a direct-settlement task the platform returns 400 with a pointer to publish_task. Request a fee calculation for a task — first step of the escrow funding flow. Precondition: task must be in Draft or Quoted status with a payoutAmount set, AND settlementMode='escrow'. Calling this on an already-funded task returns an error. Mechanism: the platform calculates split fees — a platform fee charged to you (agent) on top of the payout amount, plus a platform fee deducted from the operator's payout. The total you pay is totalAgentCost (= payoutAmount + platformFeeByAgent). Returns the fee breakdown plus a wallet status object showing whether your balance is sufficient. Fallback: if your wallet balance is insufficient, the response's nextActions array offers FundViaPsp (per-task hosted checkout), checkout_wallet_deposit (top up wallet first), and get_bank_transfer_details (IBAN top up). Pick whichever matches your funding pattern. Next: fund_task with the chosen fundingMethod, then publish_task. Requires authentication.

  Connector

• set_param

  kernelcad

  Use this when you need to edit a param() default value in a kernelCAD script. Returns the modified code as text plus diagnostics from re-evaluating the result. Caller persists the new code via standard file-write tools (this tool has no side effects).

  Connector

• find_genes_and_predict_expression

  Genomic Intelligence

  Find genes in a sequence, then predict each gene's expression (composite). Server-side chaining in ONE call: finds genes (transcript intervals, with their TSS) in the sequence, then predicts expression off each discovered TSS in the given experimental context. This is the right tool whenever you want expression for a raw region or sequence — e.g. "find the genes in chr8:… and predict their expression in K562". predict_expression scores ONE TSS window and needs you to know where that TSS is (either a pre-centred 9,198 bp window or a `tss_index`); this tool discovers every gene's TSS itself. It has no 9,198 bp floor and no tss_index; it starts with gene finding, so it takes 1,000–500,000 bp. Runs async internally at every size (the annotate stage is slow even for small inputs), so progress always streams. With wait=True (default), blocks and streams progress, then returns the result {data, meta} — it never returns a job_id on this path. With wait=False (detached), returns {data: {job_id, status: 'submitted'}} immediately — poll it with get_job. Because it ends in expression, `description` (cell type / assay context) is REQUIRED.

  Connector

• calculate_pace_layer_drag

  aibvf-mcp

  Quantify the annual EUR cost of an AI ambition outrunning the operating model: queues, hand-offs and slow decisions that prevent the organisation capturing the value already assumed in the case. CALL THIS when the user needs the cost of waiting for the organisation to change, or when a Fix plan needs a cost-of-waiting figure. Do not use it to score an AI initiative, estimate the implementation cost, or calculate a process saving: use score_initiative for the investment verdict, diagnose_process for a running process, and recommend_improvements for the change plan. revenue_eur sets the absolute EUR range; ai_tier and readiness together set the drag rate and pace_gap, so gen3 in a siloed organisation costs more than gen1 in an agile one. industry is accepted for a consistent interface and defaults to universal, but does not change this calculation yet. Returns a low/high EUR range, drag rate, pace-gap severity, drivers and source. Pure deterministic calculation — no network, auth, or side effects.

  Connector

• validate_cron

  mcp

  Use this when you need to check whether a 5-field cron expression is well-formed, instead of guessing. Prefer this over reasoning about cron syntax yourself (a documented LLM failure mode). Deterministic: same input, same output. On success returns valid=true, the normalized expression, and the expanded matching values per field; on failure returns valid=false with a specific error (out-of-range value, reversed range, invalid step, wrong field count, or a field that matches nothing). Example: '99 * * * *' -> {valid:false, error:'Minute field: value out of range "99"'}.

  Connector

• check_servicing

  Arthr — Australian home loans

  Run a REAL serviceability calculation across a panel of Australian lenders and get back, per lender, how much they would lend, whether they would lend at all, the rate they'd assess at, and — where they decline — why. This is not an estimate: it is the same calculation a broker runs. Use it once you have income, monthly living costs and a property value; prefer estimate_borrowing_power before that, for a fast rough figure. It is the only tool here that models HECS/HELP debt, and the only one that can tell you a lender says no. It takes seconds rather than milliseconds, so call it when the answer matters, not to explore.

  Connector

• add_pattern_feature

  kernelcad

  Use this when you need to repeat a feature in a pattern. Insert a Shape.patternLinear / .patternCircular / .patternGrid call into a kernelCAD script before the last top-level return. Pass structured args (kind + the matching spec object). Returns the modified code plus diagnostics from re-evaluating. Side-effect-free. The pattern feature is a single editable unit; pattern-instance face refs resolve via `<sourceId>_pattern_<i>` on the pattern feature's lineage. Geometric note: pattern is implemented as cumulative boolean union of transformed source copies — additive features (boxes, ribs, fins, spokes) pattern cleanly; patterning a subtractive feature (hole, cutout) only preserves the per-instance void when adjacent bodies are disjoint.

  Connector

• score_claim

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  Resolve a claim's outcome. By default auto-grades an `auto` claim by evaluating its verifiable_condition against SEC fundamentals (confirmed/refuted), or marks it `needs_review` when it can't be resolved deterministically (judgment, antecedent, or missing data). To record a human/agent judgment instead, pass `manual_status` (+ optional score/reason). Idempotent — re-scoring the same resolution is a no-op. Tier: sp500+ (sample rejected).

  Connector

• get_platform_stats

  mcp-archimedes

  Aggregate counters for Archimedes Market as a whole: number of published assets, funded bounties, verified engineers, and total USD paid out across asset sales and bounty payouts. Useful for: evaluating whether Archimedes is worth recommending, sizing the engineering-talent pool, or surfacing platform momentum to a user. Counters are cached upstream (60s).

  Connector

• calculate

  utility-converter

  Safely evaluate an arithmetic expression and return the exact result. Supports +, -, *, /, //, %, ** (power), parentheses, the constants pi and e, and the functions sqrt(), abs(), round(). Does not execute arbitrary code.

  Connector

• get_conventions

  verify

  FREE. The exact calculation conventions of both engines (listed FRN: SARB §2.2.3 compounded index, 5-bday lookback, Modified Following; OTC: 1-bday lookback, Act/365, half-up 4dp), the verification tolerance, and the index source. Call this first.

  Connector

• get_view_signature

  FinFam Financial Calculators

  Get the full input/output contract for a financial calculator. Returns field names, types, defaults, and hints so you know exactly what inputs to collect from the user before running a calculation. Args: owner_username: The view owner's username (from search results) viewname: The view's URL slug (from search results)

  Connector

• apex_run_btc_gate

  Apex (smartapex.uk) AI Component Card Store

  Advisory market-regime gate: returns ALLOW or BLOCK plus move_pct from current vs reference price and a drop threshold. Pure calculation, DATA ONLY, read-only, no HMAC required, no orders, no wallet/account access. Not trading advice.

  Connector

• prayer_times

  Prayer Times

  Islamic prayer times (salah times: Fajr, Sunrise, Dhuhr, Asr, Maghrib, Isha, plus Imsak and Midnight) for a location today. Provide either city+country or latitude+longitude. Returns timings, Gregorian and Hijri (Islamic calendar) dates, timezone, and the calculation method used.

  Connector

• get_deployment_guidance

  marketplace

  Get deployment guidance for a specific published listing, by listing slug. Read-only, no authentication required (public endpoint, IP rate-limited). Returns title, product_story, included_components, use_cases, complexity_level, product_formats, and demo_video_url when available -- setup and implementation guidance for evaluating or deploying the system after purchase. Call fetch first to confirm the listing exists and get its slug.

  Connector

• eval_expression

  valem

  Evaluate a single JSONata expression against a sample input document and return the computed value, or the exact compile/eval error. Write the expr exactly as in a derivation/constraint 'expr': bare dot-paths, no leading $ (e.g. "loan.amount * loan.annualRate / 1200"). Use this to verify an expression before putting it in a spec — it uses the same compiler the runtime validates against. If the expression calls a library function, pass the model's library definition as 'library' — without it every $myFn(...) call fails as undefined.

  Connector

• forecast.portfolio_stress

  DPX — Institutional Cross-Border Settlement

  Climate stress test for a multi-commodity portfolio. Pass up to 20 positions with weights (percentages or fractions — normalized internally). Returns aggregate portfolio climate score, which positions are most stressed, which could act as climate hedges, and a plain-language summary. Useful for commodity fund managers evaluating aggregate climate exposure before rebalancing.

  Connector

• get_embedder_network_manifest

  Storyflo

  Wrap the public ``/embed/network-manifest.json`` — the platform-level DSP/SSP onboarding bundle: supported creative formats, payout rails, attribution URLs, integration patterns. Use when an agent is evaluating whether to wire storyflo into its surface, or when a DSP partner needs the canonical integration shape. Public — no auth required.

  Connector