Seiche, LiquiLens and Undertow source data
REMOTE · API.SEICHE.INFO · SCANNED SEP 28
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
Available components
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. How we score → Why this is hard to score →
Endpoint Security83
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 375 tokens (~62/item across 6 items; 6 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
- Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
remote · api.seiche.info
claude mcp add --transport http beepboop2025-financial-source-data 'https://api.seiche.info/api/v2/research-data/mcp'
{
"mcpServers": {
"beepboop2025-financial-source-data": {
"url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
} {
"servers": {
"beepboop2025-financial-source-data": {
"type": "http",
"url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
} [mcp_servers.beepboop2025-financial-source-data] url = "https://api.seiche.info/api/v2/research-data/mcp"
{
"$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 mcp add beepboop2025-financial-source-data --url 'https://api.seiche.info/api/v2/research-data/mcp' --transport streamable-http
mcp_servers:
beepboop2025-financial-source-data:
url: "https://api.seiche.info/api/v2/research-data/mcp" {
"McpServers": {
"beepboop2025-financial-source-data": {
"Transport": "http",
"Url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
} assistant mcp add beepboop2025-financial-source-data -t streamable-http -u 'https://api.seiche.info/api/v2/research-data/mcp'
{
"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.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Sept 26 +1
- Stability: unverified → 0.03 ▲ functional
- 26 Sept 26 71
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 28 Sept 2026 · Probed https://api.seiche.info/api/v2/research-data/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=api.seiche.info | CN=YE1,O=Let's Encrypt,C=US | 7 Sept 2026 | 6 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 51c1896503dd693d96ce81ef09be5a03892 |
| SANs: api.seiche.info | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC secure
Validation of api.seiche.info. — Secure
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| info. | present | 5104 | 8 | Verified |
| seiche.info. | present | 2371 | 13 | Verified |
| api.seiche.info. | Verified address RRset verified with the apex keys |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains; preload |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(), geolocation=(), payment=(), usb=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://api.seiche.info/api/v2/research-data/mcp | Verified | 200 | |
| http (plaintext) | http://api.seiche.info/api/v2/research-data/mcp | HTTPS enforced | 308 | https://api.seiche.info/api/v2/research-data/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
research_analysis ~30
Read descriptive funding, institution concentration and settlement analysis with input references and limits.
| Name | Type | Req | Description |
|---|---|---|---|
| product | string | – | – |
No output schema declared.
No examples provided.
research_catalog ~30
Discover scoped funding, institution and chain-settlement datasets with coverage and rights.
| Name | Type | Req | Description |
|---|---|---|---|
| product | string | – | – |
No output schema declared.
No examples provided.
research_entities ~51
Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset | string | yes | – |
| limit | integer | – | – |
| offset | integer | – | – |
| q | string | – | – |
No output schema declared.
No examples provided.
research_observations ~86
Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.
| Name | Type | Req | Description |
|---|---|---|---|
| as_known_at | string | – | – |
| dataset | string | yes | – |
| end | string | – | – |
| entity | string | – | – |
| limit | integer | – | – |
| offset | integer | – | – |
| series | string | yes | – |
| start | string | – | – |
No output schema declared.
No examples provided.
research_series ~48
Search the metric catalog and native unit definitions in a dataset.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset | string | yes | – |
| limit | integer | – | – |
| offset | integer | – | – |
| q | string | – | – |
No output schema declared.
No examples provided.
research_tracked_institutions ~69
Search the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| q | string | – | – |
| scope | string | – | – |
No output schema declared.
No examples provided.
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.