Seiche, LiquiLens and Undertow source data MCP Server

by beepboop2025 Your server? Claim it

answering

Seiche, LiquiLens and Undertow source data is answering right now. Last checked 3 min ago. It exposes 8 tools. Last commit 18 Oct 2026.

Funding histories, bank filings and settlement data with source receipts, units and capture clocks.

Uptime history 30 days of history

30 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

126 ms

Response time

average over 24h

Stars

last commit 18 Oct 2026

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 2 October 2026. No other catalogue keeps this.

2 Oct 2 tools appeared research_series_summary, research_workspace

2 Oct a tool changed version

Nothing serious here today

Today is the operative word: we check Seiche, LiquiLens and Undertow source data every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add financial-source-data --transport http https://api.seiche.info/api/v2/research-data/mcp

Settings → Connectors → Add custom connector, then paste this address

https://api.seiche.info/api/v2/research-data/mcp

~/.codex/config.toml

[mcp_servers.financial-source-data]
url = "https://api.seiche.info/api/v2/research-data/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "financial-source-data": {
      "url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "financial-source-data": {
      "type": "http",
      "url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

research

research_analysis

Read descriptive funding, institution concentration and settlement analysis with input references and limits.

research_catalog

Discover scoped funding, institution and chain-settlement datasets with coverage and rights.

research_entities

Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.

research_observations

Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.

research_series

Search the metric catalog and native unit definitions in a dataset.

research_series_summary

Analyze the latest captured series for one exact entity, with adjacent change, trailing-window missingness, native units and source receipts. Current analytics are withheld for stale, unavailable or unverified inputs.

research_tracked_institutions

Search the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.

research_workspace

Read the same coverage, source freshness, gaps and descriptive overview as the website. Compare snapshot_id across REST/MCP; independent source clocks remain explicit.

Endpoints

URL	Transport	State	Latency	Checked
https://api.seiche.info/api/v2/research-data/mcp	streamable-http	answering	114 ms	3 min ago

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Seiche, LiquiLens and Undertow source data — questions

Answers built from our own checks of this server.

What can Seiche, LiquiLens and Undertow source data do?

It exposes 8 tools, read directly from the server on our last check. Among them: research_analysis, research_catalog, research_entities, research_observations, research_series, research_series_summary and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Seiche, LiquiLens and Undertow source data working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 126 ms. The bar chart above shows every period we have measured.

How do I connect Seiche, LiquiLens and Undertow source data?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Seiche, LiquiLens and Undertow source data need an API key?

No. Seiche, LiquiLens and Undertow source data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Seiche, LiquiLens and Undertow source data?

It answers our handshake in 126 ms on average, which is faster than 93% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Seiche, LiquiLens and Undertow source data open source?

We cannot say either way: written in Python, 0 stars on GitHub and 1 open issue, but we could not determine the licence, and without one the code is not open source by default.