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mcp server

LiquiLens — the Failure Radar

Bank and lender failure early warning, with the validated record served beside every claim.

Description as published by the maintainer. Source

  • version 1.4.1
  • archived

archived — The linked repository returns 404. It was deleted, renamed or made private.

What this server can do

17 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

corporate_transmission_board(full)
Answers ONE question: whether FUNDING stress is reaching nonfinancial FIRMS — not banks (failure_radar_board), not households (household_credit_board), not money-market plumbing (the Seiche sibling server). Read the Corporate Transmission board for the US basin: is funding stress reaching nonfinancial firms? Channels from free public data (FRED keyless, AOUSC bankruptcy filings): the nonfinancial CP market (spread over bills + the book failing to roll), bank credit lines (C&I revolver drawdown + SLOOS standards tightening), the real-economy confirmation (claims, capex orders, inventories, openings, business bankruptcies), and a balance-sheet context channel capped at WATCH. Serves a TRANSMISSION verdict (counted co-occurrence of the funding and real sides) and a divergence read against the sibling bond board's served regime. Also carries a context-only Seiche Estuary/Oil read of upstream FX, materials, funding passage plus a bounded Ballast/Cushing/Brent-WTI echo; use Seiche's oil_funding_context for the full live-vs-reference oil architecture. used_in_regime and used_in_transmission are always false. Channels that cannot be read are listed in cannot_see, never reported as calm. Display-only: feeds no institution score and no watchlist tier. Returns ~4KB slim by default; pass full:true for thresholds, per-leg basis and method prose.
crypto_exposure_board
Read the compact cited bank/crypto exposure register: disclosed quantum, stablecoin and venue links, exposure channels, Undertow run-risk cross-read and compound flags. Detailed disclosures stay on the public REST detail route. Takes no arguments; display-only, never an institution score or investment advice.
crypto_regime_board
Read the compact BTC/ETH Crypto Regime board: current change-point state, log-SR statistic, last shift, observation count and the display-only cross-read against disclosed bank exposure. Time-series paths stay on the public REST detail route. Takes no arguments; feeds no institution score and is not investment advice.
evidence_europe(slug)
Read the seven European case files replayed retrospectively through the unrecalibrated Indian lenses: Credit Suisse, Banco Popular, Northern Rock and Banco Espirito Santo (failed); Deutsche Bank and Monte dei Paschi (stressed survivors); UBS (control). Every figure is audited against the primary filing it cites. Without arguments, returns all seven verdict summaries; pass slug for one full case file with its per-quarter table. These are case studies with citations, deliberately not a cohort — there is no European recall percentage to quote.
evidence_india
Read the full Indian crisis diagnostic: 48 institutions replayed from filing-availability-proxied public filings across two decades, with explicit publication clocks where present and a conservative +60-day proxy otherwise; overwritten amendments remain unreconstructable. Includes per-institution verdicts, lead times in months, uncertainty intervals and the rigor artifacts — misses and false alarms included, never trimmed. Takes no arguments. Use evidence_institution for one institution's complete replay.
evidence_institution(slug)
Read one Indian institution's complete construction-PIT crisis replay from the 48-institution diagnostic: the scored quarterly trajectory, the sourced dossier rows behind each score, first-alert bookkeeping (when each lens first fired relative to the failure), and the plain verdict line — hit, miss or false alarm. Call evidence_india first to list the replayed institutions and their slugs. Required: slug.
evidence_markets
Read the historical-evidence headline for each market: India (48-institution construction-PIT diagnostic), United States (industry-wide current-amended-vintage diagnostic), and Europe (named cited case files, deliberately no cohort claim). Takes no arguments. Start here when asked what LiquiLens has tested, then drill into evidence_india, evidence_us or evidence_europe for the full record behind each headline.
evidence_us(include_trajectories)
Read the US bank current-amended-vintage diagnostic: every FDIC-insured bank scored quarterly from free call-report data, replayed against all 552 receivership failures since 2008 — recall 72.8% at a 21.7-month median lead, AUC 0.854. Includes the marquee replays (SVB, Signature, First Republic, both 2026 catches), the fraud-driven miss kept in full view, and the seven named 2023-2026 misses, published the week they failed; the 2026 scoreboard reads 2 of 4 flagged a year early. Read the semantics before quoting: the flag is a budgeted watchlist (top decile per quarter), not an institution-level verdict, so report the budget beside the recall and the misses beside the hits.
failure_radar_board
Read the live Failure Radar board for India: one row per institution with a fresh vetted dossier — banks, small finance banks, co-operative banks, NBFCs, MFIs and HFCs. Each row carries a corpus-calibrated failure PD term structure (12/24/36 months), a disclosure score, RBI PCA/SAF action-zone status, a funding-fragility index, market-implied distance-to-default for listed names, and a watchlist tier assigned under a published rule. Takes no arguments. Call this first to discover institution slugs, then failure_radar_institution for one name's full dossier. Outputs are research screens, not credit ratings.
failure_radar_institution(slug)
Read the full radar dossier for one Indian institution: per-quarter score and failure-PD trajectory with named drivers, RBI PCA/SAF headroom history, the funding-fragility read, forensic-screen evidence, and the market reading for listed names. Call failure_radar_board first to discover valid slugs; an institution without a vetted dossier is reported absent, never scored from memory. Required: slug.
forward_odds
Read the Markov forward odds for every state-bearing public-signal layer: the daily CALM/WATCH/ALARM state chain counted into a transition matrix, plus empirical k-day reach odds from today's state ('given today's WATCH, historical odds of ALARM within 5/20 days'). Counted, never fitted. The withhold discipline is the point: odds are withheld until a layer has 60 observed days, and the accrued count is stated — absence is never precision. Takes no arguments. Display-only context, never a state driver.
household_credit_board(full)
Answers ONE question: whether stress is reaching US HOUSEHOLD balance sheets — not firms (corporate_transmission_board), not banks (failure_radar_board), not money-market plumbing (the Seiche sibling server). Read the Household Credit board: is stress transmitting through US household balance sheets? From free public data (FRED keyless): Fed quarterly delinquency and charge-off legs (card, consumer, mortgage, card charge-offs — level vs each leg's own trailing decade AND the yoy direction; falling never scores), G.19 revolving-credit velocity (two-sided — both tails historically meant stress), and the debt-service ratio as unscored context. The transmission thesis runs household -> corporate -> institution: this board confirms what the funding boards lead. Channels that cannot be read are listed in cannot_see, never reported as calm. Display-only: feeds no institution score and no watchlist tier. Returns ~4KB slim by default; pass full:true for thresholds, method prose and full sparklines.
institution_review_packet(institution)
Build the compact human-review handoff for one fresh-vetted Indian Failure Radar institution. Accepts an exact board slug or full name, or one unique case/punctuation-normalized full name; it never fuzzy-matches, guesses a score, or turns an uncovered name green. The packet copies canonical board values, filing-period source URLs, lens bases, named dark/stale coverage, validation/disclosure hashes and an alteration-detection content SHA-256. Human review is always required; the hash is not attestation or proof of publication time. Required: institution.
rbi_supervisory_tape
Read the latest RBI enforcement and supervisory actions — monetary penalties, licence cancellations and supervisory directions — parsed from rbi.org.in press releases, newest first, each item carrying the RBI's own source URL. Takes no arguments. When no tape snapshot exists on the deployment, says so in a stated note instead of returning silent emptiness.
stablecoin_rails_board
Read the compact Stablecoin Rails board: every tracked issuer's peg, redemption-run, direct-chain liability validation, coverage-gated reserve and executable-exit evidence, chain concentration and tripwire state plus the aggregate regime. Series and full receipts stay on the public REST detail route. Takes no arguments; the full oracle state never treats partial evidence as CALM (the separate peg/run alert is retained for compatibility), and the board is not investment advice.
universe_search(q, layer, limit, classification)
Search the RBI's official register of NBFCs (9,000+ entries) by name or CIN substring, optionally filtered by RBI classification and Scale Based Regulation layer. Returns matching register rows verbatim from the public record: official name, CIN, classification and layer. Give at least one of q, classification or layer; an empty q with a filter browses that whole slice.
verify_published_record(stream)
Independently verify the as-published record for a ledger stream: recompute the hash-chained point-in-time commitments, check signatures and anchors where enabled, server-side, and return the verifier's verdict verbatim — even when unflattering; that is the point. Use this to check whether the published early-warning track record is tamper-evident and intact.

Last successful function declaration observed on . Source: https://api.liquilens.in/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://api.liquilens.in/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.4.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-05 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-08-05 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status not_found GitHub returned 404 for the repository the maintainer listed. The project was deleted, renamed or made private, so the listing points at nothing. as of fetch GitHub
mcp tools declared 17 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe api.liquilens.in
mcp endpoint status ok The server listed 17 functions when asked. as of probe api.liquilens.in

Where to get it

Also from beepboop2025

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

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Sources

  1. beepboop2025/LiquiLens on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://api.liquilens.in/mcp — api.liquilens.in, observed , trust tier 4.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.