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LiquiLens — the Failure Radar

von beepboop2025Version 1.8.1i★ 0iLäuft in der Cloud
Name in der Registryio.github.beepboop2025/liquilens

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

Free bank-filing and counterparty research; cited evidence limits; public MCP needs no API key.

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft in der Cloud
  • Transport: Streamable HTTP
  • Kategorie: Suche & KI-Gedächtnis

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 4 von 4 bestanden
  • Läuft auf dem Server des Entwicklers: Was du fragst, läuft über dessen Server.
  • Kann 26 Dinge (Tools) bank_asset_quality_review, bank_credit_land_stress, bank_npa_reconciliation, banking_specialisation_coverage …
  • Die Registry nennt keinen Schlüssel zum Eintragen.

Du brauchst

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:

  1. Öffne Settings → Connectors
  2. Tippe auf Add custom connector
  3. Füge die Adresse unten ein und tippe auf Add
  4. Wenn eine Anmeldung verlangt wird, melde dich beim Dienst des Entwicklers an
SettingsConnectors1+ Add2https://…3Connect4
https://api.liquilens.in/mcp

Führe das in deinem Terminal aus

claude mcp add --transport http liquilens https://api.liquilens.in/mcp

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

{
  "mcpServers": {
    "liquilens": {
      "url": "https://api.liquilens.in/mcp"
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

{
  "servers": {
    "liquilens": {
      "type": "http",
      "url": "https://api.liquilens.in/mcp"
    }
  }
}

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

ChatGPT verbindet sich nur mit Servern im Internet:

  1. Öffne ChatGPT im Web → Settings → Connectors (Apps)
  2. Tippe auf Create oder Add (bei manchen Tarifen musst du zuerst Developer mode unter Advanced einschalten)
  3. Füge die Adresse unten ein, gib ihr einen Namen und speichere
  4. Wenn eine Anmeldung verlangt wird, melde dich beim Dienst des Entwicklers an
SettingsConnectors1+ Create2https://…3Connect4
https://api.liquilens.in/mcp

Menünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Welche Apps ihn nutzen können

Basierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.

Verbinden sich über das Internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

Alle Apps, mit Vor- und Nachteilen →

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 9. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.

  • bank_asset_quality_review

    Cited bank/SFB/UCB NPA, PCR and capital evidence. Keep provisional updates and periods separate. No score, credit or execution authority.

  • bank_credit_land_stress

    Loan quality, NPA bridge, state NPA and housing loans vs peer block, geo context. Exact IDs; district is not measured lending exposure. full:true for cells. No score.

  • bank_npa_reconciliation

    Reconcile NPA movements; keep recoveries, write-offs, sales and upgrades distinct. Inputs are not authenticated.

  • banking_specialisation_coverage

    Bank/SFB/UCB coverage, stale/missing evidence and separate census counts. No rating.

  • corporate_transmission_board

    Answers ONE question: US firm funding stress? For households use household_credit_board. CP/credit lines/real economy; gaps in cannot_see. Seiche excluded from signals. Display-only, no score/tier. full:true adds methods.

  • crypto_exposure_board

    Cited bank/crypto amounts, stablecoin/venue links and Undertow run-risk context. REST has detail. No institution score or investment advice.

  • crypto_regime_board

    BTC/ETH change points, log-SR, shifts and counts; disclosed bank exposure context. REST has paths. No institution score or investment advice.

  • evidence_europe

    Seven cited European retrospective case files through unrecalibrated Indian lenses. Named case studies, not a cohort: no European recall percentage to quote.

  • evidence_india

    48-institution Indian construction-PIT crisis diagnostic, including misses and false alarms. Publication clocks where present, else a +60-day filing-lag proxy; overwritten amendments are unreconstructable. evidence_institution returns a full replay.

  • evidence_institution

    A sourced Indian construction-PIT quarterly replay, lens alert timing and hit/miss/false-alarm verdict. Slugs from evidence_india. Filing-availability proxies do not establish a validated backtest.

  • evidence_markets

    Historical evidence: India (48-institution construction-PIT diagnostic), US (industry-wide current-amended vintage), Europe (named cases, no cohort claim). Start here; details in evidence_india, evidence_us or evidence_europe.

  • evidence_us

    US bank current-amended-vintage diagnostics and named replays, including misses. Not a validated point-in-time backtest. Report the quarterly top-decile budgeted watchlist beside recall, uncertainty and lead times; not an individual-bank verdict.

  • failure_radar_board

    Vetted Indian lender PDs, PCA/SAF and funding. market_dd requires tier authority; diagnostic clocks/refusals stay in market_dd_evidence. Slugs for failure_radar_institution. Research, not a rating.

  • failure_radar_institution

    One Indian lender dossier: quarterly PDs and drivers, PCA/SAF headroom, funding, forensic and listed-market evidence. Slugs from failure_radar_board. Uncovered institutions remain absent, never scored from memory.

  • forward_odds

    Counted Markov transitions and empirical 5/20-day reach odds, withheld until 60 observed days; counts stay visible and absence is never precision. Historical frequencies are not calibrated forecasts. Display-only, never a state driver.

  • household_credit_board

    Answers ONE question: US household credit stress? For firms use corporate_transmission_board. Delinquency, charge-offs, revolving credit; unscored debt service. Gaps in cannot_see. No score/tier. full:true adds history.

  • institution_evidence_monitor

    Bank/NBFC evidence, gaps and review alerts. slug: one record; slugs: watchlist; neither: all tracked. End-of-day as_of. No scoring or delivery authority.

  • institution_research_coverage

    Search Indian dossiers, RBI rows or NAFSCOB co-op census. Overlapping populations; listing grants no coverage or score.

  • institution_review_packet

    Cited human review packet for an exact slug or unique normalized full name. No fuzzy match or new score; stale/dark gaps retained. Content hash detects alteration, not attestation or publication-time proof.

  • latest_article

    Today's exact full-text LiquiLens editorial: current institution-risk analysis when the evidence moved, else a labelled historical replay. Quote it with its evidence clock and passing publication receipt, without regenerating facts.

  • lending_geography

    Co-op operating areas and dated district environment. IDs: in-dccb-, in-stcb-, in-dist-, in-state-. No score.

  • rbi_supervisory_tape

    RBI penalties, licence cancellations and directions, newest first with source URLs; missing snapshots stay explicit.

  • research_network

    Palimpsest sources, Seiche funding, Undertow liquidity and NarcoScope metadata. Rights retained; no identity, score or eligibility changes.

  • stablecoin_rails_board

    Paged peg/run evidence; partial data is never CALM. Follow pagination.next_offset. Full receipts on REST. Display-only, not investment advice.

  • universe_search

    Search the RBI NBFC register. Supply q or a filter; a filter without q browses that slice. Registration does not establish creditworthiness.

  • verify_published_record

    Check ledger hash chains, enabled signatures and anchors; retain failures. Record integrity, not economic accuracy.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 11. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto beepboop2025 bestätigt, dem das Repo gehört

  • ✓ Bestanden

    Wird noch gepflegt

    Code zuletzt geändert: vor 24 Tagen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • ✓ Bestanden

    Endpunkt antwortet

    Antwort in 626 ms (HTTP 200)

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Keine Anmeldung nötig

  • ✓ Bestanden

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Wir haben 26 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Nutzerbewertungen

Noch keine Bewertungen

Mit Google anmelden, um zu bewerten

Im Vergleich mit anderen in Suche & KI-Gedächtnisi

  • Mehr Sterne als 0 % der anderen 5868 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 46 % der anderen 5868 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 5868 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist LiquiLens — the Failure Radar sicher?

Er hat 4 von 4 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt vor 24 Tagen geändert, und die neueste Version (1.8.1) kam vor 2 Monaten in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Ruflo, Context7, Metabase

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

von ruvnetWeit verbreitet↓ 74.273/Wo.★ 81.393Aktualisiert heute

Läuft auf deinem Computer
Installieren

Context7

Up-to-date docs for AI agents

von upstashWeit verbreitet↓ 1,2 Mio./Wo.★ 64.447Aktualisiert gestern

Computer oder Cloud
Installieren

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

von metabaseWeit verbreitet★ 50.256Aktualisiert vor 6 Monaten

Läuft in der Cloud
Installieren

README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

LiquiLens MCP — the Failure Radar as agent tools

Connect and ask one question

Hosted Streamable HTTP MCP; no local server or API key for public read-only tools. Add the products you need to Claude Code:

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

Try this first: What changed in ESAF Small Finance Bank's NPAs? Cite the filing, reporting period and missing disclosures.

Try it in your browser · Cursor configuration · Codex commands · Free three-product starter kit and skill

For a connected review, ask for institution evidence → funding context → BTC exit estimates, with each source date, coverage gap and limitation kept separate. Client/model costs and fair-use limits may apply. Research calls do not execute trades.

Endpoint: https://api.liquilens.in/mcp (streamable HTTP, no auth, no install)

LiquiLens is the institution-evidence product of LIQUILENS PRIVATE LIMITED, a registered company in India (CIN U62011RJ2026PTC116792). One company, three connected products: LiquiLens investigates institutions, Seiche explains funding conditions, and Undertow examines market liquidity. People and AI agents can follow an exposure across all three while retaining each product's source dates, coverage gaps and research limits. International access does not imply universal market coverage or a shared score.

Read the company and investor story and the shared company profile.

Try it live: liquilens.in/developers · 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. Anonymous discovery on 11 October 2026 returned MCP 1.8.1 with 24 read-only tools and 5 guided prompts, so an agent reads the same status, eligibility flags and cited record a human sees. The repository contract separately pins MCP 1.8.1 at d6f99bdf2de14e8ef2f29032cf9561ca8a446de8, with 23 read-only tools and 5 guided prompts. The capability tables below describe that pinned source. Discover the hosted endpoint for the current public inventory, including institution_evidence_monitor.

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.

Add it

For Hermes and OpenClaw, use the native setup guides:

The current guides select thirteen research tools across LiquiLens, Seiche and Undertow, including GIFT City, reference FX and gold scenarios. Their dated native-client receipts retain the original nine-tool selection and exact verification scope. Public research requires no account or API key; fair-use limits apply and your model provider may charge separately.

The free starter kit also includes a Python brief, a manual n8n funding workflow and configurations for the clients below.

OpenClaw users can also install the optional research instructions from ClawHub:

openclaw skills install @beepboop2025/liquilens-trading-research --version 1.1.0

Connect the MCP servers using the OpenClaw guide first. The skill supplies task instructions and a configuration template; installation does not configure servers or run research. Its source bundle is MIT-0; that license does not relicense source data or API responses.

Checked on 4 October 2026 (UTC): version 1.1.0 is public and ClawHub's version-pinned verification result reports a passed security check with a benign, high-confidence verdict. Its embedded detailed scanner report retains seven findings, including medium external-transmission flags for the public MCP URLs, and reports partial analysis. Review the versioned security audit before installation and use public research inputs. Its isolated Linux install recorded the correct version and matched all three reviewed source files. ClawHub's public verifier and the installed Linux client's version-pinned openclaw skills verify now both report pass, with the generated Skill Card present. The upload is unsigned and has no server-resolved GitHub import provenance. A fresh isolated macOS install after storage recovery also matched all three source-file hashes, and its version-pinned verification reports pass. The earlier macOS timeout remains a separate failed attempt. No model or research tool ran in these checks. The direct MCP configuration is available independently of the ClawHub skill.

Claude Code:

claude mcp add --transport http liquilens https://api.liquilens.in/mcp

Codex:

codex mcp add liquilens --url https://api.liquilens.in/mcp

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 entry uses the name io.github.beepboop2025/liquilens. This repository's Registry metadata revision 1.8.1 points to the public mirror and free starter kit. The hosted MCP now reports version 1.8.1 at the same endpoint. The Registry metadata and runtime happen to share a version number; they remain separately verified contracts. The pinned source and tool inventory above describe the current runtime. The existing Registry record continues to identify this public mirror.

The current runtime separates fresh model results from reviewed filing facts: expired filing scores are excluded from the live board, current disclosures retain their official source and publication clocks, and inactive institutions remain identifiable in historical evidence. Its US evidence includes the June 2026 panel and reviewed 2026 failure notices through 25 September.

Query source histories

The separate source-data MCP and Python client expose funding histories, bank filings and Bitcoin/Liquid settlement observations with source receipts, native units and capture clocks. Use the live coverage table or import its OpenAPI contract.

Run a research task

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:

python3 financial_research.py bank-review

python3 financial_research.py bank-review --slug cosmos-ucb python3 financial_research.py funding-brief

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.

Protocol compatibility

  • 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.
  • Tools, prompts, and discovery responses are deterministic. Modern list responses carry public cache metadata.
  • 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.

Tools

ToolWhat it serves
bank_asset_quality_reviewExact-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_reconciliationArithmetic check of a complete caller-supplied NPA movement table; keeps cash recoveries, write-offs, sales and upgrades distinct without authenticating the input
banking_specialisation_coverageDiscover covered Indian commercial, small finance and urban cooperative banks, with observed, stale, historical and absent evidence distinguished; not a census or rating
corporate_transmission_boardIs 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_boardCited bank/crypto exposure register joined to Undertow run-risk context; display-only, never an institution score
crypto_regime_boardCompact BTC/ETH change-point state and its display-only cross-read against disclosed bank exposure
evidence_europeNAMED_CASE_FILES_CONSTRUCTION_PIT: seven audited case files, deliberately no cohort claim; both eligibility flags false
evidence_indiaPERIOD_END_PROXY_CONSTRUCTION_PIT: 48 institutions across two decades, misses and false alarms included; both eligibility flags false
evidence_institutionOne Indian institution's construction-PIT crisis replay with sourced quarterly rows
evidence_marketsHistorical-evidence status for all three markets, with validated_backtest_eligible and real_money_eligible served explicitly
evidence_usCURRENT_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_rad

Nur der Anfang wird gezeigt; den Rest findest du im Repo