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470,887 tools. Updated 2026-08-23 15:39

"Multi-Party Computation (MPC) for Finance and Trading Applications" matching MCP tools:

  • Create a new application (workspace) owned by the caller. Requires a personal API key (usr_...) — application-scoped keys cannot create applications. Seeds default flows unless skipDefaultFlows is true. Creates persistent state and is NOT idempotent: calling it twice creates two applications. Returns the new application id, which you then pass as applicationId to the other tools.
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  • Returns holiday-aware trading session schedule with next open/close UTC timestamps for any of 28 exchanges. Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant (pairs with get_market_status signed receipts). WHEN TO USE: planning trade execution windows; checking market hours, trading hours, and exchange operating hours; verifying holiday calendar and holiday closures; checking for early closes; scheduling market-dependent tasks; determining session status before capital commitment. Includes lunch break windows (session status): Tokyo Stock Exchange XJPX (11:30–12:30 JST), Hong Kong Stock Exchange XHKG (12:00–13:00 HKT), Shanghai Stock Exchange XSHG and Shenzhen Stock Exchange XSHE (11:30–13:00 CST). Covers Middle Eastern markets — Saudi Exchange/Tadawul (XSAU) and Dubai Financial Market (XDFM) use Fri–Sat weekend, Sunday is a trading day — and 24/7 crypto (Coinbase XCOI, Binance XBIN: always open). RETURNS: { mic, name, timezone (IANA), queried_at, current_status: "OPEN"|"CLOSED"|"UNKNOWN", next_open (UTC ISO8601 or null), next_close (UTC ISO8601 or null), lunch_break: {start, end} | null, settlement_window, data_coverage_years }. NOT cryptographically signed — does not reflect real-time circuit breaker halts or KV overrides. For authoritative signed status use get_market_status. Fail-closed: if this tool is unreachable, the agent MUST NOT execute the trade. LATENCY: sub-100ms p95 (pure schedule computation, no signing).
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  • Search coordinated party expenditures (Schedule F) — spending a party committee makes on behalf of a candidate it supports, in coordination with that campaign. Distinct from independent expenditures (openfec_search_expenditures), which cannot be coordinated with the candidate, and from direct contributions: coordinated expenditures carry their own statutory limits and can run into tens of millions per party in a presidential cycle. Scope with a spending committee_id, a benefiting candidate_id, or a cycle; unscoped queries span all years.
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  • Returns holiday-aware trading session schedule with next open/close UTC timestamps for any of 28 exchanges. Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant (pairs with get_market_status signed receipts). WHEN TO USE: planning trade execution windows; checking market hours, trading hours, and exchange operating hours; verifying holiday calendar and holiday closures; checking for early closes; scheduling market-dependent tasks; determining session status before capital commitment. Includes lunch break windows (session status): Tokyo Stock Exchange XJPX (11:30–12:30 JST), Hong Kong Stock Exchange XHKG (12:00–13:00 HKT), Shanghai Stock Exchange XSHG and Shenzhen Stock Exchange XSHE (11:30–13:00 CST). Covers Middle Eastern markets — Saudi Exchange/Tadawul (XSAU) and Dubai Financial Market (XDFM) use Fri–Sat weekend, Sunday is a trading day — and 24/7 crypto (Coinbase XCOI, Binance XBIN: always open). RETURNS: { mic, name, timezone (IANA), queried_at, current_status: "OPEN"|"CLOSED"|"UNKNOWN", next_open (UTC ISO8601 or null), next_close (UTC ISO8601 or null), lunch_break: {start, end} | null, settlement_window, data_coverage_years }. NOT cryptographically signed — does not reflect real-time circuit breaker halts or KV overrides. For authoritative signed status use get_market_status. Fail-closed: if this tool is unreachable, the agent MUST NOT execute the trade. LATENCY: sub-100ms p95 (pure schedule computation, no signing).
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  • Search individual stock trades disclosed by U.S. Congress members (House and Senate) under the STOCK Act. Returns a markdown table of transactions: member name, chamber, ticker, buy/sell type, transaction date, disclosure date (the gap between the two reveals reporting delay), dollar amount range, and owner (self/spouse/joint). Use for questions like 'What did Nancy Pelosi trade recently?', 'Which members bought NVDA?', or 'Show the largest Senate trades this quarter'. Filter by chamber, party, state, ticker, or member name; sort by traded value, trade count, or recency. For one member's profile and complete trading history, use get_congress_member instead.
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  • Computes a multi-year tax projection for a publicly traded MLP position, applying the IRS Partner's Basis Worksheet methodology (Lines 1-14) per IRC §705 (basis computation), §731(a) (distributions exceeding basis), §733 (basis reduction), §751 (hot asset recapture), §752 (liability allocation), §1014 (stepped-up basis at death), and §199A (QBI deduction). Returns year-by-year basis erosion, §751 accumulation, annual federal tax, terminal FMV, §1014 step-up value at death, and the break-even sell price. Use when: User holds direct units of a midstream MLP (EPD, ET, MPLX, WES, PAA, NRP, USAC, SUN) and wants to model long-term tax outcomes — when basis reaches zero, total tax paid over the hold horizon, deferred tax eliminated by §1014 step-up at death, or the unit price at which selling matches holding through inheritance. Single position, single lot. Don't use for: 1099-DIV ETFs (AMLP, MLPX, AMZA — these use RIC structure, pay corporate-level tax, and issue 1099-DIV instead of K-1; use a standard cost-basis calculator instead). Multi-position estate analysis — use mlp_estate_planning. Computing basis from actual K-1 data the user has in hand — use k1_basis_compute (single year) or k1_basis_multi_year. Limitations: Single position, single lot — for multi-position portfolios and per-lot optimal sell ordering, see lucasandersen.ai. Federal-level only — does not include state-level basis adjustments or state estate tax. §751 recapture is estimated from default ROC assumptions; actual recapture depends on the partnership's hot-asset disposition schedule. Maintained by Lucas Andersen, MS Finance, with direct positions in major midstream MLPs. Methodology auditable at lucasandersen.ai/methodology.
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  • Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.

  • Finance Feeds MCP.

  • PREFER for HISTORICAL closing prices and daily returns on a specific past date or date range — "what did the S&P 500 close at on August 7", "closing prices and daily returns for these four indices last Friday", "AAPL close on 2026-06-30". Accepts one or more Yahoo Finance symbols (indices ^GSPC/^IXIC/^DJI/^SOX/^RUT, stocks, ^TNX yields, GC=F commodities, BTC-USD crypto, EURUSD=X FX — same symbol space as get_quotes) plus start_date/end_date, and returns each trading day's close WITH the previous close and the computed daily return percent, per symbol. Keyless (Yahoo Finance). Use get_quotes for CURRENT prices; this tool is for any date in the past.
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  • Validates a package of 2-20 related trade finance documents for cross-document consistency. Call this BEFORE approving any multi-document trade finance transaction or cross-border shipment -- at the moment a set of 2-20 related documents arrives from an external party and funds have not been released. Use this when your agent has received a full trade finance package — such as invoice, bill of lading, and certificate of origin together — and must verify all documents are consistent with each other before releasing funds. Returns PASS/FLAG/FAIL verdict per document with mismatch details. Cross-checks all documents for consistency across numeric values, party names, reference numbers, dates, and commodity descriptions. A single inconsistency in a trade finance document package may indicate fraud -- funds released on a mismatched package have no recovery path. Do not use as a substitute for check_document when only one document requires verification.
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  • Fill a multi-page PDF form, iterating page-by-page for reliability. WORKFLOW: 1) Call list_form_fields first to get exact field names and their x/y positions. 2) Use position coordinates to confirm which field is which — higher y = higher on page. 3) Pass exact field names from list_form_fields here. Never guess field names. Use when the PDF has more than 5 pages or fields spanning multiple pages (rental applications, tax packets, multi-section HR forms). Prefer this over fill_form for any complex/long document. Returns ok:false with unknown_fields if ALL provided field names are invalid. Returns ok:true with a warnings.unknown_fields list if SOME names are invalid (partial fill).
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  • AI Agent Tokenized Stock OS: list canonical tokenized stocks (Robinhood Stock Tokens), ETFs, USDG, and WETH on Robinhood Chain ID 4663. Use for AI agents trading tokenized equities/RWAs. Do NOT use for US brokerage equities (use Robinhood Trading MCP). Only registry addresses are real tokenized stocks.
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  • Computes a multi-year tax projection for a publicly traded MLP position, applying the IRS Partner's Basis Worksheet methodology (Lines 1-14) per IRC §705 (basis computation), §731(a) (distributions exceeding basis), §733 (basis reduction), §751 (hot asset recapture), §752 (liability allocation), §1014 (stepped-up basis at death), and §199A (QBI deduction). Returns year-by-year basis erosion, §751 accumulation, annual federal tax, terminal FMV, §1014 step-up value at death, and the break-even sell price. Use when: User holds direct units of a midstream MLP (EPD, ET, MPLX, WES, PAA, NRP, USAC, SUN) and wants to model long-term tax outcomes — when basis reaches zero, total tax paid over the hold horizon, deferred tax eliminated by §1014 step-up at death, or the unit price at which selling matches holding through inheritance. Single position, single lot. Don't use for: 1099-DIV ETFs (AMLP, MLPX, AMZA — these use RIC structure, pay corporate-level tax, and issue 1099-DIV instead of K-1; use a standard cost-basis calculator instead). Multi-position estate analysis — use mlp_estate_planning. Computing basis from actual K-1 data the user has in hand — use k1_basis_compute (single year) or k1_basis_multi_year. Limitations: Single position, single lot — for multi-position portfolios and per-lot optimal sell ordering, see lucasandersen.ai. Federal-level only — does not include state-level basis adjustments or state estate tax. §751 recapture is estimated from default ROC assumptions; actual recapture depends on the partnership's hot-asset disposition schedule. Maintained by Lucas Andersen, MS Finance, with direct positions in major midstream MLPs. Methodology auditable at lucasandersen.ai/methodology.
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  • Returns reference data for a supported MLP ticker — current cash distribution per unit, distribution growth CAGR, default return-of-capital percentage, distribution coverage ratio, K-1 entity count, operating-state count, and last-verified date. Use when: User wants to look up baseline characteristics of an MLP before modeling — e.g., comparing distribution coverage across partnerships, checking how many K-1 entities a holding generates for tax-prep complexity, or seeing the operating-state count for state-tax filing-burden estimation. Don't use for: Tax computation. Use mlp_projection (long-horizon modeling), mlp_estate_planning (estate analysis), mlp_sell_vs_hold (break-even sell price), or k1_basis_compute / k1_basis_multi_year (computing basis from actual K-1 data). Note: This tool returns reference data only — no IRC citations apply, no methodology disclosure attached. For computation, use the modeling tools above. Maintained by Lucas Andersen, MS Finance.
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  • Returns reference data for a supported MLP ticker — current cash distribution per unit, distribution growth CAGR, default return-of-capital percentage, distribution coverage ratio, K-1 entity count, operating-state count, and last-verified date. Use when: User wants to look up baseline characteristics of an MLP before modeling — e.g., comparing distribution coverage across partnerships, checking how many K-1 entities a holding generates for tax-prep complexity, or seeing the operating-state count for state-tax filing-burden estimation. Don't use for: Tax computation. Use mlp_projection (long-horizon modeling), mlp_estate_planning (estate analysis), mlp_sell_vs_hold (break-even sell price), or k1_basis_compute / k1_basis_multi_year (computing basis from actual K-1 data). Note: This tool returns reference data only — no IRC citations apply, no methodology disclosure attached. For computation, use the modeling tools above. Maintained by Lucas Andersen, MS Finance.
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  • View applications for your listing. Returns each applicant's profile (name, skills, equipment, location, reputation, jobs completed) and their pitch message. Use this to evaluate candidates, then hire with make_listing_offer. Only the listing creator can view applications.
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  • Search FDA-disclosed Complete Response Letters for drug and biologic applications. Defaults to letter_type "COMPLETE RESPONSE"; optionally include other letter types in the same dataset. Returns the application’s current approval_status, letter metadata, an excerpt, and the official document URL.
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  • Call this when the user wants the current top trading opportunities with explicit trade directions and historical backing. Good triggers: "What are the best bets right now?", "Show me the edge board", "Which model is winning the paper-trading competition?", "What's the strongest edge today?", "Are these edges statistically significant?". Returns open markets ranked by model-vs-market disagreement, each with Buy YES/NO direction, implied odds, whether the edge is historically significant, and a multi-model comparison.
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  • List and search congressional politicians who have STOCK Act trading disclosures. Filter by party (D/R/I), state, or search by name. Returns paginated results with trade counts, last trade date, and net buy/sell direction over the trailing 12 months.
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  • Get market-wide campaign-finance rollups across ALL tracked politicians for a cycle: total raised, top 10 individual donors, top 10 PACs, party/chamber/cycle splits, and a most-funded politician leaderboard. Use for "who are the biggest donors in 2024?" or "which party raised more?" type questions. For a single politician, use get_politician_donor_summary.
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  • List the candidate's own job applications (newest first) with status, dates, the originating interview score, and a job summary. Returns only the caller's applications — no jobId input, so it is not an enumeration surface.
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