Seiche, LiquiLens and Undertow source data MCP server

LiquiLens MCP — the Failure Radar as agent tools

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

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. This MCP 1.8.0 endpoint exposes 23 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 e853bea04303d3ed24c0c3541a9af15ebae98711.

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:

• Hermes: configuration, connection checks and a first research task
• OpenClaw: configuration, discovery checks and a first research task

The guides select nine research tools across LiquiLens and its Seiche funding and Undertow market-depth companions. They record the tested client versions and the 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 1.0.1

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.

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 reports version 1.8.0 at the same endpoint. Its current capability contract includes institutionresearchcoverage; the pinned source and tool inventory above identify that addition. Registry revision 1.8.1 is a metadata revision, not a runtime version.

Query source histories

Shortened. The full README is on GitHub.