# Seiche, LiquiLens and Undertow source data (remote · api.seiche.info)

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

- Trust score: 72/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-28

## Components

- remote · `api.seiche.info`: 72/100 (this document), [markdown](https://verifymcp.io/servers/beepboop2025-financial-source-data/api-v2-research-data-mcp.md), [page](https://verifymcp.io/servers/beepboop2025-financial-source-data/api-v2-research-data-mcp)

## Channel facts

- Endpoint: `https://api.seiche.info/api/v2/research-data/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-28.

- **Endpoint Security**: 83/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 375 tokens (~62/item across 6 items; 6 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 7/100
  - Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Seiche, LiquiLens and Undertow source data MCP server?

Seiche, LiquiLens and Undertow source data is a hosted endpoint at https://api.seiche.info/api/v2/research-data/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http beepboop2025-financial-source-data 'https://api.seiche.info/api/v2/research-data/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "beepboop2025-financial-source-data": {
      "url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "beepboop2025-financial-source-data": {
      "type": "http",
      "url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.beepboop2025-financial-source-data]
url = "https://api.seiche.info/api/v2/research-data/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "beepboop2025-financial-source-data": {
      "type": "remote",
      "url": "https://api.seiche.info/api/v2/research-data/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add beepboop2025-financial-source-data --url 'https://api.seiche.info/api/v2/research-data/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  beepboop2025-financial-source-data:
    url: "https://api.seiche.info/api/v2/research-data/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "beepboop2025-financial-source-data": {
      "Transport": "http",
      "Url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add beepboop2025-financial-source-data -t streamable-http -u 'https://api.seiche.info/api/v2/research-data/mcp'
```

### Other

```json
{
  "mcpServers": {
    "beepboop2025-financial-source-data": {
      "type": "http",
      "url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-28 (score 72, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-27 (score 72, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-09-26 (score 71)

First indexed and scored.

## MCP tools (6)

### `research_tracked_institutions` (~69 tokens)

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

Input parameters:

- `limit` (integer)
- `offset` (integer)
- `q` (string)
- `scope` (string)

### `research_catalog` (~30 tokens)

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

Input parameters:

- `product` (string)

### `research_series` (~48 tokens)

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

Input parameters:

- `dataset` (string, required)
- `limit` (integer)
- `offset` (integer)
- `q` (string)

### `research_entities` (~51 tokens)

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

Input parameters:

- `dataset` (string, required)
- `limit` (integer)
- `offset` (integer)
- `q` (string)

### `research_observations` (~86 tokens)

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

Input parameters:

- `as_known_at` (string)
- `dataset` (string, required)
- `end` (string)
- `entity` (string)
- `limit` (integer)
- `offset` (integer)
- `series` (string, required)
- `start` (string)

### `research_analysis` (~30 tokens)

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

Input parameters:

- `product` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/beepboop2025-financial-source-data/api-v2-research-data-mcp#diagnostics

## Score history

- 2026-09-28: 72
- 2026-09-27: 72
- 2026-09-26: 71

## Common questions

### What is the Seiche, LiquiLens and Undertow source data MCP server?

Seiche, LiquiLens and Undertow source data is an MCP server listed in the public MCP registry as io.github.beepboop2025/financial-source-data. Funding histories, bank filings and settlement data with source receipts, units and capture clocks. This page covers its hosted endpoint (https://api.seiche.info/api/v2/research-data/mcp).

### Is the Seiche, LiquiLens and Undertow source data MCP server safe to use?

Seiche, LiquiLens and Undertow source data scores 72 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Seiche, LiquiLens and Undertow source data MCP server expose?

Seiche, LiquiLens and Undertow source data exposes 6 tools: research_tracked_institutions, research_catalog, research_series, research_entities, research_observations, research_analysis. Their descriptions and schemas cost roughly 314 tokens of context every time the server is loaded.

### Does the Seiche, LiquiLens and Undertow source data MCP server require authentication?

No. We connected to Seiche, LiquiLens and Undertow source data without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Seiche, LiquiLens and Undertow source data MCP server still maintained?

Seiche, LiquiLens and Undertow source data is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://api.seiche.info/api/v2/research-data/mcp
- Repository: https://github.com/beepboop2025/liquilens-mcp
- Website: https://liquilens.in/agents/#source-data
- Changelog RSS feed: https://verifymcp.io/servers/beepboop2025-financial-source-data/api-v2-research-data-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/beepboop2025-financial-source-data/api-v2-research-data-mcp.json
- HTML version of this page: https://verifymcp.io/servers/beepboop2025-financial-source-data/api-v2-research-data-mcp