Seiche MCP Server
@beepboop2025
关于 Seiche MCP Server
Seiche: free open source funding stress terminal for US money markets. 22 engines, honest backtests, zero data cost (Fed, NY Fed, OFR, Treasury public APIs). AGPL-3.0.
Seiche MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"seiche": {
"type": "streamable-http",
"url": "https://api.seiche.info/mcp"
}
}
}Seiche MCP Server 工具
16Read dated USD/INR funding, separate ECB and CBUAE VAT FX references, and CFTC COMEX gold positioning. Cache-only research with source clocks; no executable prices or regulatory eligibility determination.
Calculate fine gold, simple financing cost and INR per fine gram from explicit decimal-string assumptions. All inputs are caller supplied, no quote is verified, and inputs are not persisted.
Read cached official FX reference histories and same-date currency crosses, with native units, provenance, age and observed-interval changes. Inspect owner-accepted Palimpsest China annual economic series and revision-aware history beside the CNY reference. Daily fixings, annual context and licensed gaps remain distinct. No collection, model fitting, executable quotes or scoring.
Explore every Palimpsest dataset by topic, with source clocks, rights, freshness and pagination. Includes Seiche's separately completed funding context and explicit research steps into institution filings, exit liquidity and NarcoScope's granular global data. Source metadata and funding interpretations stay distinct. No source collection, score changes, causal joins or trading authority.
The latest available full-text Seiche editorial, which may predate today. Returns the canonical headline, dek, Markdown, publication date, evidence clock, generation mode and passing publication receipt. Report its publication and evidence dates; do not describe an older edition as today's analysis. Use funding_stress_now for current funding conditions, and quote the article without regenerating facts.
The live money-market funding-stress reading: a 0-100 composite index, the regime (CALM/EROSION/STRAIN/STRESS), per-component decomposition, the market-stress 'Tell', and any data faults. Ask this whenever an analysis touches US dollar funding, repo, reserves, the Fed's balance sheet, or liquidity conditions.
A deterministic, bounded projection of the last completed Seiche board: funding regime, 0-100 stress index, coverage, source staleness counts, snapshot clock, and conservative evidence clock. It repeats the rights check and never collects, fits, calls a network source, reads a notary ledger, or contacts a broker. This is metadata-only derived context, not order-bound, non-executable, never real-money eligible, and it does not evaluate stream attestations or treat them as per-order authority.
Use section='countries' for the public-source country catalog, or add country='JP' (a supported ISO alpha-2 code; UK is an alias for GB) for dated policy, funding, liquidity and sovereign references. Country coverage is partial and monthly references are explicitly separate from daily curves. Granular, descriptive USD money-market context from the already assembled desk: policy corridor and overnight spreads; SOFR/TGCR/BGCR distributions and tails; repo-segment rates and volumes; CP-Treasury spreads; bills and cash curve; liquidity buffers and Fed facilities; and MMF repo plumbing. Use section='india' for the India funding, RBI liquidity, policy and sovereign-curve desk from a bounded canonical observation read. It keeps benchmark identities, date alignment, curve movements and mechanism hypotheses separate. India defaults to view='full' for compatibility; prefer view='summary' for findings, constraints and an exact metric ID catalog, then view='metric' with metric_id for one complete evidence card. These India-only views are independent reads, not a pinned snapshot or pagination. Otherwise use optional `section` to request a compact summary, one named USD desk section, diagnostics, sources, methodology, or all context. Diagnostics count funding persistence, compare secured/unsecured benchmarks and show calendar cohorts with sample limits, without changing any score. Returns exact-date alignment, native-cadence changes, empirical own-history statistics, freshness, coverage, formulas, sources, and caveats as applicable. Chart history is always omitted. USD reads only an already completed cached or persisted snapshot; it never triggers collection or engine recomputation, while freshness is re-evaluated at response time. Context only: no causal, predictive, probability, or trade claim.
Unified, chartless context for broad financial-market questions. It projects only completed/public state into money_markets, forex, macro-capital transmission, China macro evidence, official references, methodology, or a compact summary. Every response carries snapshot/as-of clocks, canonical Seiche citation URLs, and explicit observed, derived, structural, restricted, and unavailable boundaries. The China structural catalog is unsigned; only status=restricted represents a verified Seiche owner-attested revision; both states keep NBS values, raw evidence, and history withheld. A separately operator-accepted economic_context may publish licensed World Bank WDI values with annual/structural freshness, distinct release, Palimpsest collection, and Seiche acceptance clocks. Those values are context only and never a live print, score, gauge, forecast, or signal. The sources selector is reference-only; use all when verified China context and its NBS source linkage must appear together. Coverage is curated and partial rather than exhaustive or uniformly live. It never triggers collection, repository history reads, or model fitting. Its named-field whitelist omits chart and history arrays for data minimization; that is not a per-record licensing audit. Capital coverage is limited to public positioning proxies, Treasury primary-market absorption, market stress, official liquidity and global dollar credit—not a security master, issuer-data service or consolidated tape. Use Undertow instead when the question is specifically about executable depth, liquidity-provider concentration, or position-sized exit cost.
The historical days most similar to today's funding conditions, and how often those analogs led to a stress event, plus a novelty flag for whether today has any close precedent. Use to ground a 'what usually happens from here' question in real history.
The backtest scoreboard, stated honestly: recall and precision with 95% confidence intervals over labelled funding events, an orthogonal robustness test, every named episode (hits and misses), and the caveats. Use to judge how much to trust the readings.
Freshness, provenance, and fault status for every underlying series (FRED, NY Fed, OFR, Treasury). Call this to confirm the board is current before relying on a reading.
Labelled crypto stress episodes (Black Thursday 2020, Terra, FTX, the SVB/USDC weekend, the Oct-2025 liquidation cascade, the Ethena unwind) replayed with causal truncation but final/current-vintage inputs against the dollar-funding board. External wrecks show transmission; crypto-native wrecks show the board correctly staying quiet. Use for any 'does TradFi funding stress reach crypto' question, grounded in the record.
Hedge-fund / pension / sovereign positioning nowcast from public prints: the Treasury basis-trade size proxy (CFTC leveraged-fund net short, with a funding-fragility flag), asset-manager duration demand, foreign-official custody flows (H.4.1), a mixed-frequency fused positioning index with uncertainty bands, and how self-exciting stress events currently are (Hawkes branching ratio). Weekly cadence, point-in-time. Ask this when a question involves hedge fund leverage, the basis trade, pension duration bids, or sovereigns buying/selling Treasuries. Built from free public data.
Observed WTI/Brent, commercial-paper and SOFR−IORB evidence; Ballast's WTI/Henry Hub CFTC positioning, gross mark-displacement proxy, paying-side concentration and EIA inventory ledger; live Cushing stocks and the Brent−WTI spread kept separate from dated capacity, benchmark and chokepoint references; the change-on-change oil/CP association; plus explicitly scenario-only cargo-credit, margin and India cash arithmetic. Use when a question asks how oil or energy futures can transmit cash pressure into dollar funding. Ballast is not an observed margin call; dated structure is not live transit data; nothing here is a forecast, trade signal, or Seiche composite input.
The live upstream FX and physical-material pressure read versus funding already priced in SOFR and commercial paper, with the Passage's discovery/holdout ledger, de-clustered analogs, dollar-system context and settlement scenarios. Use for currency weakness, commodity working capital, FX settlement, or whether trade-flow cash pressure is reaching money markets. Context only; an earned link is stable association, not causation.
概览
Try one funding question
Seiche provides source-dated funding and money-market research for AI agents, including USD, India and supported country context. Connect its hosted Streamable HTTP MCP server; no local server, account or API key is needed for the public tools.
claude mcp add --transport http seiche https://api.seiche.info/mcp
Ask: What is the current US funding stress regime, and which dated funding events are next? Cite source dates and missing evidence.
Try the question in your browser or copy a Cursor or Codex configuration.
Public tool contract
Verified on 18 October 2026 (IST): the hosted endpoint and official MCP Registry report Seiche 0.16.5. Anonymous discovery returns 16 read-only tools, including funding_stress_now, data_health, money_market_context, market_workbench and research_network. Start with money_market_context using section=summary for compact USD context. For India use section=india with view=summary, then view=metric and an exact metric_id from the returned metric_catalog. These are independent reads, not a pinned snapshot.
Source dates, native units, coverage gaps, restricted values and historical-evidence limits remain attached. Optional account tools have separate access requirements. Research outputs do not authorize trades or credit decisions. Client and model providers may charge separately; fair-use limits apply.
Connect the three research products
claude mcp add --transport http liquilens https://api.liquilens.in/mcp
claude mcp add --transport http seiche https://api.seiche.info/mcp
claude mcp add --transport http undertow https://api.seiche.info/undertow/mcp
Use LiquiLens for a covered bank's filing evidence, Seiche for funding conditions and Undertow for indicative BTC exit costs. Keep each source's dates and limitations separate.
Current packages and MCP/API connections · Free starter kit and research skill · Developer guide · Source
Operated by LIQUILENS PRIVATE LIMITED. Seiche is open source under AGPL-3.0-or-later.
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