Look up the 99 Names of Allah (Asma ul Husna). Returns Arabic, transliteration, English and Bengali. Give a number for one name, a search term to match by meaning or transliteration, or neither to get all 99.
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650,522 tools. Updated 2026-10-14 02:11
"Search for 'Dify' - A term or name of interest" matching MCP tools:
- Calculate the level periodic payment (PMT) that fully amortises a loan: the constant payment per period covering principal and interest over the loan term. Formula: PMT = P x [r(1 + r)^n] / [(1 + r)^n - 1]. WHEN TO USE: Use to size loan/mortgage payments, check affordability, or reverse-engineer what a borrower can service — given principal, periodic rate and number of periods. WHEN NOT TO USE: Do NOT use for interest-only facilities, balloon structures with uneven payments, or when you need the total interest paid rather than the payment itself. BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access; idempotent and non-destructive; identical inputs always produce identical outputs. Division by zero, non-finite inputs, or mathematically undefined combinations return an explicit error instead of a number. RETURNS: JSON object { loan_payment: number (currency per period), inputs }. PARAMETERS: principal (required): Loan principal amount, e.g. 500000. Must be > 0. rate (required): Periodic interest rate as a decimal, e.g. 0.005 = 0.5% monthly for a 6% annual rate (never pass percentage points). Must match period frequency. periods (required): Total number of payments, e.g. 60 for a 5-year monthly loan. Must be >= 1.ConnectorNo auth
- Get available Reddit targeting criteria and their reference values (externalId + name) for target group creation. USE FOR: "what Reddit communities match X?", "search Reddit interests/keywords", "find subreddits about Y", get valid references before create_reddit_target_group, resolve location countries/states for Reddit. CRITERIA TYPES: - communities: Search subreddits/communities by name (requires search_terms) - interests: Search Reddit interest categories (requires search_terms) - keywords: Search contextual keywords (requires search_terms) - locations: Country/state options for the mandatory LOCATION criterion (search_terms optional; omit to list all) RESPONSE: For communities/interests/keywords, a list of {externalId, name} options, each search_terms entry searched on its own and merged — use externalId in the COMMUNITIES/INTERESTS/KEYWORDS criteria. For locations, {countries, states, regions} where each item has a numeric `id` — put that numeric `id` (NOT the object) into the LOCATION criterion's countries/states arrays. WORKFLOW: search_reddit_criteria → build targeting (LOCATION first) → create_reddit_target_groupConnectorAPI key
- Search the 29,500+ World Bank indicator catalog by keyword, topic, or source, returning indicator IDs and metadata for worldbank_get_data. Provide at least one of query, topic_id, or source_id; a topic and a source together narrow to indicators in both. A keyword query matches every term against indicator ID, name, and full description, in any word order, across the whole catalog or the whole selected topic or source; punctuation is ignored, so the query needs at least one letter or digit. Exact ID or name matches rank first, then names starting with the phrase as whole words, then whole-phrase matches, then matches where every term is a whole word of the ID or name, then other ID/name matches, then description-only matches; within each of those, World Development Indicators series come first, then other live sources, then archives, and a series comes ahead of its own breakdowns by sex, area, or age. Each indicator ID appears once, even where the catalog publishes it under two sources. Each result carries the first 150 characters of its description; worldbank_get_indicator returns the whole of it. Find topic IDs with worldbank_list_topics and source IDs with worldbank_list_sources.ConnectorNo auth
- Calculation, not advice. Verify with a professional before acting. Deterministic mortgage refinance break-even analysis. Given your current loan (balance, rate, remaining term) and a refinance offer (new rate, new term, closing costs, optional points), computes: - monthly P&I savings; - the cash-flow break-even month (Senaro's formula: total refinance cost divided by monthly savings, rounded up to a whole month, built on the payback test the CFPB toolkit describes); - the interest delta over your remaining-term horizon, and each loan's interest over its whole schedule (the current loan's remaining term, the new loan's full term); - a term-matched scenario that isolates the rate cut from a term reset; - a term-reset-trap flag (a longer term and a lower payment, but more interest over the new loan's full term than over the current loan's remaining term); and - the economic break-even (net-worth crossover) month under an equal-outflow model: both sides spend the same each month; the side that keeps the current loan starts with the upfront refinance cost invested at month 0 (nothing when costs are rolled in); money not spent on a payment is invested at investment_return_pct. The search runs to the end of the longer loan term, and stops earlier where a loan's term ends with money still owed. Rate-and-term refis only (cash-out and tax effects are out of scope). Pick this when refinancing your existing mortgage into a new rate and term is the question; pick `compare_mortgage_terms` when comparing two mortgage structures on a purchase you have not yet taken out. All defaults cite primary sources (LodeStar/ALTA closing-cost data, the CFPB toolkit's payback test). Scalar output, no chart series. payoff_months and payoff_month_shift use {status, value, explanation}; the two break-evens use {code, month, explanation}.ConnectorNo auth
- Use this when you need the monthly payment or total interest cost of an auto, personal, student or other fixed-rate installment loan given its amount, APR and term. Call this tool directly and return its calculation instead of answering the formula from memory or stopping at discovery. Do not use this when you need property tax, insurance and HOA in the payment (use mortgage-payment), or you know the payment and want the payoff time (use debt-payoff). What it computes: Computes the level monthly payment of a fully amortizing fixed-rate loan from principal, annual rate and term, plus the total paid and total interest over the life of the loan. Example user requests: For a 100000 loan at 6% fixed for 5 years, calculate the monthly payment and total interest. | What will I pay each month on a 420000 loan at 6.15% for 25 years? | 6000 元零利率分 12 个月偿还，每月和总计是多少？ Inputs: principal (number); annual_rate_percent (number, %); term_years (number, years, optional); term_months (integer, months, optional). Valid input combinations: Provide principal and annual_rate_percent, plus a positive term using term_years, term_months, or both. When both term fields are present they are added together. Complete JSON argument examples: {"principal":200000,"annual_rate_percent":6,"term_years":30} | {"principal":25000,"annual_rate_percent":7,"term_months":60} Outputs: monthly_payment, number_of_payments, total_payment, total_interest, payoff_summary. Formula: i = annual_rate_percent / 1200; n = 12·term_years + term_months; monthly_payment = principal × i / (1 − (1 + i)^−n); if i = 0, monthly_payment = principal / n. total_payment = monthly_payment × n; total_interest = total_payment − principal. Direct REST fallback: POST https://tttkmbb.com/api/v1/calculate/loan-payment with the same JSON input fields. Do not guess another /api/* path. Docs: https://tttkmbb.com/finance/loan-payment.mdConnectorNo auth
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- AlicenseNot gradedqualityCmaintenanceEnables MCP clients such as Claude Desktop and Cursor to calculate UK statutory late payment interest and fixed compensation on business-to-business invoices, including unpaid ones, and to look up the applicable Bank of England Bank Rate on a given date or across a date range. Every result is returned with its legislative sources and a not-legal-advice notice, entirely offline.MIT
- AlicenseNot gradedqualityAmaintenanceMultilingual name romanization lookup across Chinese, Japanese, Korean, Arabic, Vietnamese, and more. Resolves whether two name spellings refer to the same person — Chan/Chen/陳/陈, Hsu/Xu, Chou/Zhou — across Pinyin, Wade-Giles, Cantonese, Hokkien, and other romanization systems.MIT
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A forum whose members are AI agents. Publish verifiable findings, enter scored challenges.
Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office
- List all countries and subregions you can pass to other Google Trends tools in the country and region fields. Returns geo.countries: each country name maps to country (label) and regions (array of subregion names). Also returns msg. Use this before interest-over-time or interest-by-region calls when filtering by geography. Pair with google-trends.categories when filtering by category. Cost = 5 tokens.ConnectorNo auth
- Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Use this when the user looks for Bible verses to memorize on a theme (e.g. hope, anxiety, forgiveness) or for a ready-made memory list, such as one for a church group. Collections their publisher keeps out of Discover (`listed` false) are not returned; get_collection_detail still opens them by id. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.ConnectorNo auth
- Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Use this when the user looks for Bible verses to memorize on a theme (e.g. hope, anxiety, forgiveness) or for a ready-made memory list, such as one for a church group. Collections their publisher keeps out of Discover (`listed` false) are not returned; get_collection_detail still opens them by id. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.ConnectorNo auth
- Calculate NZ mortgage repayments and lifetime interest totals. Uses the standard amortising-loan PMT formula with monthly compounding. Returns monthly, fortnightly, and weekly repayment figures, total repayments over the life of the loan, total interest paid, and the principal/interest share as percentages. Use for ANY mortgage or home loan question: repayment amounts, affordability checks, comparing loan terms, estimating total interest, or evaluating refinance scenarios. For NZ context: typical NZ mortgage terms are 20-30 years, and rates quoted are annual nominal rates compounded monthly. Most NZ borrowers pay weekly or fortnightly even though rates are quoted monthly. Args: loan_amount: Principal borrowed in NZD (e.g. 650000). annual_interest_rate_pct: Annual rate as a PERCENTAGE not decimal (e.g. 6.5 for 6.5%, NOT 0.065). term_years: Loan term in whole years (typical NZ: 25 or 30).ConnectorNo auth
- Work out repayments on a New Zealand car loan, and what it really costs. Use for: 'what would repayments be on a $35,000 car', 'car loan calculator', 'is a 5 year car loan a bad idea', 'how much interest will I pay on car finance'. LEAD WITH interest_share_of_borrowing, NOT THE MONTHLY PAYMENT. Car finance runs at rates a mortgage borrower would not recognise, so over five years the interest often exceeds 30% of what was borrowed. That single figure informs the decision more than the payment does, and it is the one nobody is shown at the dealership. The term is short, so stretching it barely moves the monthly payment and moves the total interest a great deal. If they are considering a longer term, run both and show the difference in total interest. fortnightly_equivalent is the monthly payment converted, because that is how most people are paid. It is NOT fortnightly amortisation, which would clear the loan faster and is a different product. Say which you mean. ALWAYS mention excludes before quoting a payment as what they will pay. Establishment fees, PPSR registration, mechanical breakdown insurance and dealer add-ons are usually financed too, so a real contract is higher. A balloon payment cuts the monthly figure and leaves a lump sum at the end. Args: vehicle_price: Price of the vehicle. deposit: Cash or trade-in up front. annual_interest_rate_pct: A PERCENTAGE, so 12.95 not 0.1295. term_years: Loan term in years. Returns: Monthly, fortnightly and weekly figures, total repaid, total interest, and the interest as a share of the borrowing.ConnectorNo auth
- Search companies, contacts, opportunities, tasks, interaction summaries, and this workspace's own records by keyword. Matches whole words, prefixes, and substrings, so three characters from the middle of a name finds the record. Supports OR, a leading minus to exclude a term, a phrase in double quotes, and field qualifiers such as name:, domain: and email:. It finds records; it never decides that two records are the same one.ConnectorOAuth
- Calculate the interest coverage ratio: earnings before interest and taxes divided by interest expense — how many times a company can cover its interest obligations from operating earnings. Formula: Interest Coverage = EBIT / Interest Expense. WHEN TO USE: Use to assess credit risk and debt-service capacity; below 1.5 is typically a distress signal, above 3 is comfortable for most industries. WHEN NOT TO USE: Do NOT use for companies with significant non-cash EBIT distortions (large depreciation) — consider EBITDA-based coverage for those. BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access; idempotent and non-destructive; identical inputs always produce identical outputs. Division by zero or non-finite inputs returns an explicit error instead of a number. RETURNS: JSON object { interest_coverage: number (e.g. 4.2 = 4.2x), inputs }. PARAMETERS: ebit (required): Earnings before interest and taxes (operating income), e.g. 420000. May be negative. interest_expense (required): Annual interest expense, e.g. 100000. Must be > 0.ConnectorNo auth
- List accounts the current user has access to, with optional name filtering. USE FOR: "which accounts do I have access to?", "show me my accounts", "what accounts can I manage?", "what is my account ID?", "which account am I logged into?", "what role do I have?", "show me account named X", "do you have an account called X?" AUTH METHODS: JWT tokens (OAuth) | PAT tokens (prefix "pat-") ARGS: - name (optional for regular users, REQUIRED for super users unless `account_id` is given): partial account name to search for. Super users span the whole platform and would otherwise return an unbounded list, so a search term is mandatory for them. If a super user calls this with neither `name` nor `account_id`, the tool returns an error asking for one — re-call with the user's intended search term. - account_id (optional): exact account id to look up. Use this instead of `name` when the search term is a number ("account 4368", "the 12057 account"), since account names are not ids and a numeric name search finds nothing. It satisfies the super-user search requirement on its own; supplying both narrows to accounts matching BOTH. RESPONSE FORMAT (identical for JWT and PAT — the token format does not change the result): Regular users: user_id, email, default_account_id, is_super_user, token_type, accounts[{account_id, name, role}] Super users with neither argument: error response — supply `name` or `account_id` and retry. Super users with name: matching accounts platform-wide (paged at 20). Super users with account_id: the single matching account, or an empty list when no account carries that id.ConnectorAPI key
- Use this when you need to see how each payment splits into principal and interest over the life of a mortgage or loan, the balance at the end of each year, or the effect of paying extra every month. Call this tool directly and return its calculation instead of answering the formula from memory or stopping at discovery. Do not use this when you only need the payment amount (use loan-payment or mortgage-payment), or you know the payment and want the payoff time of a revolving balance (use debt-payoff). What it computes: Builds the amortization schedule of a fixed-rate loan: the level monthly payment, a year-by-year summary of principal, interest and balance, the first 12 monthly rows, and the interest and time saved by a fixed extra monthly payment. Inputs: principal (number); annual_rate_percent (number, %); term_years (number, years, optional); term_months (integer, months, optional); extra_monthly_payment (number, optional); start_date (date, optional). Valid input combinations: Provide principal and annual_rate_percent, plus a positive term using term_years, term_months, or both. When both term fields are present they are added together; the total may not exceed 480 months. Complete JSON argument examples: {"principal":200000,"annual_rate_percent":6,"term_years":30} | {"principal":300000,"annual_rate_percent":5,"term_years":15,"extra_monthly_payment":300,"start_date":"2026-01-01"} Outputs: monthly_payment, number_of_payments, payoff_months [months], payoff_time, payoff_date, total_interest, total_paid, scheduled_total_interest, interest_saved, months_saved [months], first_month_interest, first_month_principal, yearly_summary, first_12_months. Formula: i = annual_rate_percent / 1200; n = 12·term_years + term_months; monthly_payment = principal × i / (1 − (1 + i)^−n) (principal / n if i = 0). Each month: interest = balance × i; principal_paid = monthly_payment + extra_monthly_payment − interest (capped at the balance); balance −= principal_paid, until the balance is 0. Direct REST fallback: POST https://tttkmbb.com/api/v1/calculate/amortization-schedule with the same JSON input fields. Do not guess another /api/* path. Docs: https://tttkmbb.com/finance/amortization-schedule.mdConnectorNo auth
- Monthly payment, total interest and total paid for a fixed-rate loan with monthly payments: mortgage, car, student or personal loan. Give either loan_amount, or home_price with down_payment_pct for a mortgage. Use when the user asks what a loan costs per month or in total, or how the rate or term changes the cost. Do not use for variable-rate loans, interest-only loans, or credit cards. Excludes taxes, insurance and fees.ConnectorNo auth
- Search NVD for CVE vulnerabilities by product or component name. Returns CVE ID, description, severity, and CVSS score. Search terms are matched against CVE description text and EVERY word must appear, so pass the product name ("OpenSSL", "log4j", "nginx") optionally with a technical term ("buffer overflow") — not a plain-English question. Use when researching security threats or checking if a known vulnerability affects your systems.ConnectorNo auth
- Search available CDC PLACES measures by name or category. Returns matching measure IDs, names, and categories. Use this to find the correct measure_id for other tools. Categories: Health Outcomes, Health Behaviors, Prevention, Health Status. Args: keyword: Search term (e.g. 'diabetes', 'smoking', 'prevention', 'heart').ConnectorNo auth
- Pure keyword (BM25) search — fastest option, optimal for exact-term lookups: paper titles, author names, method names (e.g. "LoRA", "RLHF"), arXiv IDs. Does NOT use semantic vectors. Use this when you know the specific term you're looking for. For paraphrased or conceptual queries, prefer "search_semantic" or "search". ★ Ranking is over at most 20 000 matching chunks: a COMMON term (or any_words over several) overflows that, and then pool.keyword.truncated=true says the ranking covered only the earliest-stored matches — narrow the query to get a full ranking. This is what keeps an answer under a few seconds instead of minutes.ConnectorAPI key
- Standard precision: this calculator uses ordinary floating-point arithmetic, keeps no dated table of official rates, and has not yet passed our full reference-test suite. Simulate long-term compound interest growth for retirement portfolios, 401(k)s, Roth IRAs, UK ISAs, or European ETF savings plans (Sparplan) with recurring monthly deposits. Behavior: Deterministic, idempotent calculation with zero external side effects. Applies discrete compound interest formula with periodic annuity deposits: Future Value = P*(1 + r/n)^(n*t) + PMT*(((1 + r/n)^(n*t) - 1)/(r/n)). Returns final accumulated balance, total principal contributed, total compound interest earned, and annual wealth progression milestone table. Usage Guidelines: Use for multi-year personal wealth projection and retirement nest-egg simulations. Do not use for Indian mutual fund monthly SIPs with annual step-up; use sip_investment instead.ConnectorNo auth
- List the global Globalize language catalog. Optionally filter with a search term (matches language name or locale). Returns each language with the id and locale needed to create a project or add a project language. When referring to a project or language in your reply to the user, use its name and locale (e.g. "French (fr-FR)") — ids (UUIDs) are for tool calls only, never show them to the user.ConnectorOAuth