Bank and lender failure early warning, with a validated record across India, the US and Europe.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Endpoint: https://api.liquilens.in/mcp (streamable HTTP, no auth, no install)
Try it live: liquilens.in/developers Β· REST catalog: api.liquilens.in/api
LiquiLens is a failure early-warning system for banks and lenders, built on public
data with a machine-readable historical-evidence boundary served beside every claim.
This MCP 1.8.0 endpoint exposes 21 read-only tools and 5 guided prompts so an agent
reads the same status, eligibility flags and cited record a human sees. Its
capability inventory is pinned to LiquiLens commit
ad759890fbd3656397c3c28ab8f3b0b845aeede9.
It now reads both ends of the chain: which institutions are fragile, and whether that
stress is actually crossing into the real economy: companies rolling paper and drawing
credit lines, households falling behind. Channels that cannot be read are named in
cannot_see rather than reported as calm.
Claude Code:
Codex:
Cursor: merge the remote MCP config
into .cursor/mcp.json for one project or ~/.cursor/mcp.json for all projects.
The download includes the companion Seiche funding endpoint. Preserve existing entries.
For an existing Codex config, use the TOML snippet
and merge its server entries into ~/.codex/config.toml.
Claude.ai / ChatGPT: add a custom connector or MCP app with the endpoint above where that feature is available in your workspace.
This repository is the public discovery and documentation mirror. The hosted
implementation is maintained in a private core repository. This public mirror pins
its inspectable capability contract to the reviewed source revision above.
The official Registry already serves
io.github.beepboop2025/liquilens version 1.8.0.
This update reconciles the mirror with that release; it does not publish a new Registry version.
The research recipes run with
Python 3.11+ and its standard library. No API key, LLM or Python package install is needed.
Download and inspect financial_research.py,
then run:
The first command discovers covered bank slugs. The second checks coverage before
retrieving that exact bank's sourced asset-quality history; an absent slug stays
not_covered. The funding brief calls Seiche's money-market desk. Returned evidence
retains its native source dates, eligibility, unavailable states and limitations;
a successful request does not imply fresh or complete evidence. Each run is bounded
and performs no scheduling or trading. Operators should add --verification so their
checks are labelled synthetic and excluded from adoption totals.
For a visual workflow, download the n8n bank-review workflow and follow the import guide. It uses a manual trigger and no LLM. The guide records its execution-verification status; a downloadable workflow does not imply acceptance into n8n's template library.
2026-07-28: stateless requests use server/discover, per-request _meta,
MCP-Protocol-Version, and mirrored Mcp-Method / Mcp-Name routing headers.2025-11-25, 2025-06-18, and 2025-03-26: retained legacy initialization,
tools, prompts, notifications, batching, and ping behavior.resources/list and resources/templates/list are supported and currently return
empty catalogs. resources/read returns an explicit not-found error instead of
inventing a resource.| Tool | What it serves |
|---|---|
bank_asset_quality_review | Exact-slug bank review with sourced GNPA/NNPA history, percentage-point changes, distinct PCR definitions and capital/supervisory scope; no new score or credit approval |
bank_npa_reconciliation | Arithmetic check of a complete caller-supplied NPA movement table; keeps cash recoveries, write-offs, sales and upgrades distinct without authenticating the input |
banking_specialisation_coverage | Discover covered Indian commercial, small finance and urban cooperative banks, with observed, stale, historical and absent evidence distinguished; not a census or rating |
corporate_transmission_board | Is funding stress reaching nonfinancial firms? The commercial-paper market, bank credit lines, real-economy confirmation (claims, capex, inventories, openings, business bankruptcies) and a balance-sheet context channel, with a TRANSMITTING/CONTAINED verdict |
crypto_exposure_board | Cited bank/crypto exposure register joined to Undertow run-risk context; display-only, never an institution score |
crypto_regime_board | Compact BTC/ETH change-point state and its display-only cross-read against disclosed bank exposure |
evidence_europe | NAMED_CASE_FILES_CONSTRUCTION_PIT: seven audited case files, deliberately no cohort claim; both eligibility flags false |
evidence_india | PERIOD_END_PROXY_CONSTRUCTION_PIT: 48 institutions across two decades, misses and false alarms included; both eligibility flags false |
evidence_institution | One Indian institution's construction-PIT crisis replay with sourced quarterly rows |
evidence_markets | Historical-evidence status for all three markets, with validated_backtest_eligible and real_money_eligible served explicitly |
evidence_us | CURRENT_AMENDED_CONSTRUCTION_PIT: 552 FDIC failures since 2008, 72.8% recall, 21.7-month median lead and AUC 0.854; both eligibility flags false |
failure_radar_board | The live board: every Indian lender with a fresh vetted dossier, including failure PD term structure (12/24/36m), RBI action-zone status, funding fragility, market distance to default, and watchlist tier under a published rule |
failure_radar_institution | One institution in depth: PD trajectory with drivers, PCA/SAF headroom history, forensic screen, market reading |
forward_odds | Counted forward stress odds for each public-signal layer, withheld until the layer has enough observed history |
household_credit_board | Is stress transmitting through household balance sheets? Fed delinquency and charge-off legs against each leg's own trailing decade, two-sided revolving-credit velocity, debt service as unscored context |
institution_review_packet | One lender's deterministic evidence packet for human review, with coverage and freshness stated explicitly |
latest_article | Today's exact evidence-led LiquiLens article, or a labelled historical replay when the evidence did not move |
rbi_supervisory_tape | Latest RBI enforcement actions, each linking to the RBI's own page |
stablecoin_rails_board | Issuer peg, redemption-run, chain-concentration and rail tripwire state; missing data never becomes CALM |
universe_search | RBI's official registered-NBFC registry (9,000+ entries) |
verify_published_record | Independent cryptographic verification of the as-published record |
| Prompt | Guided playbook |
|---|---|
bank_asset_quality_brief | Discover an exact bank slug, review cited NPA history and capital scope, then reconcile only a complete disclosed movement table; preserve stale/missing evidence and supervisory gaps |
crypto_liquidity_briefing | BTC/ETH regime, stablecoin rails, and disclosed bank links in one display-only evidence pack |
failure_radar_briefing | Board-level institution risk with transmission context from the public US signal layers |
institution_health_check | One lender health check with the historical-evidence boundary and uncertainty attached |
stress_evidence_pack | Region-specific evidence for India, the United States, Europe, or the cross-market summary |
The generative layer explains; deterministic screening policy scores. Historical diagnostics retain their served evidence status and eligibility flags and do not become validated-backtest or real-money evidence merely because a deterministic engine produced them. Screens, not ratings; not investment advice. Institutions without a vetted dossier are absent by design β the tools say so rather than inventing a score.
The three historical status tokens are part of the API contract, not marketing copy:
PERIOD_END_PROXY_CONSTRUCTION_PIT for India,
CURRENT_AMENDED_CONSTRUCTION_PIT for the United States, and
NAMED_CASE_FILES_CONSTRUCTION_PIT for Europe. In the current release, every market
serves validated_backtest_eligible: false and real_money_eligible: false.
https://api.seiche.info/palimpsest/mcp) β live internet-censorship signalsProduct: liquilens.in Β· Live demo: demo.liquilens.in
No reviews yet β be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/liquilens-the-failure-radar)<a href="https://allmcps.com/mcp/liquilens-the-failure-radar"><img src="https://allmcps.com/api/badge/liquilens-the-failure-radar?style=directory" alt="LiquiLens β the Failure Radar on AllMCPs" /></a>