Server data from the Official MCP Registry
Bank and lender failure early warning, with a validated record across India, the US and Europe.
Bank and lender failure early warning, with a validated record across India, the US and Europe.
Remote endpoints: streamable-http: https://api.liquilens.in/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
10 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-beepboop2025-liquilens": {
"url": "https://api.liquilens.in/mcp"
}
}
}From the project's GitHub README.
Endpoint: https://api.liquilens.in/mcp (streamable HTTP, no auth, no install)
LiquiLens is a failure early-warning system for banks and lenders, built on public data with the validation record served beside every claim. This MCP server lets any LLM agent read the same record a human sees.
Claude Code:
claude mcp add --transport http liquilens https://api.liquilens.in/mcp
Claude.ai / ChatGPT / Cursor: add a custom connector or MCP server with the URL above.
| Tool | What it serves |
|---|---|
failure_radar_board | The live board: every Indian lender with a fresh vetted dossier — failure PD term structure (12/24/36m), RBI action-zone status, funding fragility, market distance to default, 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 |
evidence_markets | The validation record per market, one headline each |
evidence_india | The Indian record: 48 institutions across two decades, misses and false alarms included |
evidence_institution | One Indian institution's full crisis replay with sourced quarterly rows |
evidence_us | The US record: 550 FDIC failures since 2008, 73.1% recall at 21.7-month median lead, marquee replays including the honest fraud miss |
evidence_europe | Seven audited European case files, Northern Rock to Credit Suisse, replayed through unrecalibrated lenses |
universe_search | RBI's official registered-NBFC registry (9,000+ entries) |
rbi_supervisory_tape | Latest RBI enforcement actions, each linking to the RBI's own page |
verify_published_record | Independent cryptographic verification of the as-published record |
The generative layer explains; only the validated deterministic layer scores. Numbers come from deterministic engines with model cards, never from a model. Screens, not ratings; not investment advice. Institutions without a vetted dossier are absent by design — the tools say so rather than inventing a score.
https://api.seiche.info/palimpsest/mcp) — live internet-censorship signalsProduct: liquilens.in · Live demo: demo.liquilens.in
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