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596,740 tools. Updated 2026-09-21 10:11

"Programs for Performing Statistical Analysis: R, STATA, SPSS" matching MCP tools:

  • List a public/competitor creator's videos by platform + handle. Sort by 'recent' or 'top' (best-performing); optionally with analysis inline. Only returns creators already in the analysis library — for one you haven't ingested yet this returns reason="creator_not_in_library" with a next_step of analyze_creator(platform, username), not an error. When more videos exist beyond this page the response includes next_cursor — pass it back as cursor (same sort/filters) to fetch the next page; when next_cursor is absent you have everything.
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  • Transfer partner map. Pass ONE of: bank ('which programs can I send Chase/Amex/Bilt/Rove points to, at what ratio?'), program ('which banks feed Flying Blue and which airlines can it book?'), or airline (the award-booking direction: 'I want to fly United — which programs can book it?'). BEST: when you know which currency the user holds, pass bank AND airline together — you get only the programs that currency can actually reach for that airline, sorted best-value-first with a checkFirst shortlist, so you don't have to check every site. Includes alliances and per-program point valuations.
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  • Search open grant opportunities from Kindora's active foundation-program corpus plus federal and state government grants. FOR-PROFIT APPLICANTS: pass for_profit_applicant=true to search capital a for-profit can take (PRIs, loans, revenue-based financing, patient equity) from CDFIs, impact investors, and PRI-active foundations. The default pool is 501(c)(3)-shaped and will NOT contain those programs. Searches both private foundation grant programs (from IRS data and funder websites) and government grant opportunities — federal (Grants.gov) plus state and district grant portals. Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • Search the UNESCO Institute for Statistics catalogue of ~5,000 indicators — education, science/R&D, culture and communication — by keywords in the name or code, optionally filtered by theme. All terms must match (AND, case-insensitive), so start with 2–3 words and drop terms if you get 0 results. Everyday and US wording is resolved to the UIS's own (enrollment→enrolment, spending→expenditure, preschool→pre-primary, university→tertiary, graduation→completion, girls/boys→female/male); when that happens the response says so in vocabulary_notes. Returns indicator codes to use with uis_get_data, plus each indicator's data availability (years, record count). Searches the catalogue only — it does not return statistical values (use uis_get_data); ILO labour statistics live in the sibling ILOSTAT MCP server.
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  • 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.
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  • Calculate reducing-balance monthly Equated Monthly Installment (EMI), total interest payable, and amortization schedule for home, auto, or personal loans. Behavior: Deterministic, idempotent calculation with zero external side effects. Computes standard monthly EMI formula: E = P * r * (1 + r)^n / ((1 + r)^n - 1), where r = annualRate / 12 / 100. Returns monthly EMI, total payment (principal + interest), total interest percentage, and first-year amortization breakdown. Usage Guidelines: Use for general global reducing-balance loans and consumer debt. Do not use for US residential mortgages requiring property tax, hazard insurance, and PMI escrow; use mortgage_piti instead.
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Matching MCP Servers

  • A
    license
    A
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    Controls the Stata GUI through Windows Stata Automation COM, enabling do-file management, command execution, and data analysis within natural language workflows.
    12
    15 PyPI
    8
    MIT

Matching MCP Connectors

  • Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.
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  • Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.
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  • Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.
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  • Search for upcoming public PGA Coach programs (clinics, camps, classes, and other group events) near a location (required). Use this tool when the user asks to find programs, clinics, camps, classes, or group events — not private one-on-one lessons. For private lesson coaches, use `search_golf_coaches` instead. Internal record identifiers (for example program `id` and coach `slug`) are for tool calls only and must never be shown or mentioned to the user. - Search results include program details plus the hosting coach and facility for each program. - The response also includes top-level `coaches` and `facilities` arrays summarizing the unique coaches and venues in the result set — always present those to the user. - Results are ordered by program start instant and filtered to the requested radius. - Discovery uses nearby PGA Coach profiles (nearest 20 in the radius), then loads up to 30 upcoming public programs per coach in a 180-day window in one batched GraphQL request. Facility coordinates still have to fall inside the radius. - Results are paginated. The pagination cursor carries the remaining nearby programs so additional pages do not repeat GraphQL discovery. Reuse that cursor with the original location and radius. - Direct golfers to the program URL to view details and register. Coach profile and booking URLs are also included when the golfer wants to learn more about the coach.
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  • After independently performing a source-backed validation, deposit the observed result for later CHECKs. Returns accepted=true when a new observation is stored or deduplicated=true for a recognized retry/recent duplicate. Never OBSERVE hearsay. Optional Ed25519 proof establishes key possession and continuity, not truth or real-world independence.
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  • [JOURNAL] Read your private trade journal. status=open|closed|void|all (default all shows open+closed; void is hidden unless asked), limit for history (default 20). Open trades include live unrealized PnL/R and a warning if your stop level has traded since entry. Closed trades include resolved outcomes (ret %, R, MAE/MFE). stats block = personal calibration: win rate and realized R per n0brains entry grade — where your entries were actually good. Pro.
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  • [JOURNAL] Read your private trade journal. status=open|closed|void|all (default all shows open+closed; void is hidden unless asked), limit for history (default 20). Open trades include live unrealized PnL/R and a warning if your stop level has traded since entry. Closed trades include resolved outcomes (ret %, R, MAE/MFE). stats block = personal calibration: win rate and realized R per n0brains entry grade — where your entries were actually good. Pro.
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  • Deterministic statistical analysis of a decklist (any format): mana curve with creature split, card types, color pips vs mana sources, functional buckets (ramp/draw/removal/wipes/counters/recursion/protection/tutors + bracket signals) with typical Commander bands, opening-hand probabilities (hypergeometric), a suggested land count, meta brew score, deck price, tribal and keyword counts. Pure data — no judgment calls.
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  • List source-checked wedding-dress try-on programs for shoppers without a suitable local rack. Results distinguish low sample fees from refundable deposits, expose each published return-clock anchor and day count, and disclose whether a destination is commissionable.
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  • Get analytics for a workspace's own published LinkedIn content: engagement (reactions, comments, reposts), trend vs the previous period, and top-performing posts. Call this when the user asks how their content is performing. fromMs/toMs are Unix ms. It does not list the posts themselves: use campaignstack_list_content_posts for that.
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  • [JOURNAL] Amend an OPEN journal trade by trade_id: move your stop or target, fix size_usd / leverage / thesis. A stop MOVE changes only the current stop (what the watchdog and close-time touch scan use); realized R stays measured against your INITIAL stop, so trailing to breakeven can't inflate R. To fix a genuine fat-finger in the original entry or stop, also pass correct_entry=true — that resets the R basis (disclosed in the response). asset/side can't be amended — void and re-log for that. Pro.
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    Destructive
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  • Clean-energy incentive source guidance by country and postal code; eligibility is not verified. US ZIP → federal status + state/utility programs (via DSIRE). Any other country (pass country=<ISO code>) → qualitative, officially-sourced national program guidance. Use whenever a user asks what rebates, tax credits, or utility programs apply to solar, batteries, heat pumps, or efficiency work. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]
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  • Search for qualified PGA golf coaches listed on pga.com/coach in the specified location (required). Use this tool when the user asks to find, browse, or compare coaches for private lessons in a location. For location-first discovery of clinics, camps, classes, or other group programs, use `search_golf_programs` instead. If the user asks for availability for a specific coach, use `get_golf_coach_availability` instead. Internal record identifiers (for example coach `slug` and offering `id`) are for tool calls only and must never be shown or mentioned to the user. - Search results include the coach's profile information, private-lesson offerings, pricing, and a short teaser of upcoming public programs they host (capped at 2). For location-first program discovery, use `search_golf_programs`. - Use that program context to recommend which group offering best fits the golfer when relevant; present upcoming programs when available. - Results are ordered by proximity to the search location, so list them to the user in this order. - Results are paginated, so use the pagination cursor provided at the end of the response to retrieve the next page of results.
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  • Clean-energy incentive source guidance by country and postal code; eligibility is not verified. US ZIP → federal status + state/utility programs (via DSIRE). Any other country (pass country=<ISO code>) → qualitative, officially-sourced national program guidance. Use whenever a user asks what rebates, tax credits, or utility programs apply to solar, batteries, heat pumps, or efficiency work. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]
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  • Calculate compound interest for investments. Formula: A = P(1 + r/n)^(nt) Where: - P = principal amount - r = annual interest rate (as decimal) - n = number of times interest compounds per year - t = time in years Examples: compound_interest(10000, 0.05, 5) # $10,000 at 5% for 5 years → $12,762.82 compound_interest(5000, 0.03, 10, 12) # $5,000 at 3% compounded monthly → $6,744.25
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