Seiche, LiquiLens and Undertow source data

io.github.beepboop2025/financial-source-dataVersion 1.1.0

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

Status

Responds63 msNov 14, 2026, 14:47 UTCAnswered our handshake without sign-in.

Registry data may be out of date

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Last checked: Nov 14, 2026, 14:47 UTC
Latency: 63 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: EU hosting detected (detected, not a legal statement)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://api.seiche.info/api/v2/research-data/mcpResponds63 msNov 14, 2026, 14:47 UTC

No sign-in

Claude Code

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

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: financial-source-data
Remote MCP server URL: https://api.seiche.info/api/v2/research-data/mcp

Cursor

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

VS Code

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

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Tools

8 tools

Tools of Seiche, LiquiLens and Undertow source data
	Description		Read-only	Idempotent	Open world
`research_analysis`Read descriptive funding, institution concentration and settlement analysis with input references and limits.	Read descriptive funding, institution concentration and settlement analysis with input references and limits.	No	Yes	Yes	No
`research_catalog`Discover scoped funding, institution and chain-settlement datasets with coverage and rights.	Discover scoped funding, institution and chain-settlement datasets with coverage and rights.	No	Yes	Yes	No
`research_entities`Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.	Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.	No	Yes	Yes	No
`research_observations`Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.	Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.	No	Yes	Yes	No
`research_series`Search the metric catalog and native unit definitions in a dataset.	Search the metric catalog and native unit definitions in a dataset.	No	Yes	Yes	No
`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.	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.	No	Yes	Yes	No
`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.	Search the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.	No	Yes	Yes	No
`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.	Read the same coverage, source freshness, gaps and descriptive overview as the website. Compare snapshot_id across REST/MCP; independent source clocks remain explicit.	No	Yes	Yes	No

Details

Registry status: Active
Published: Sep 26, 2026
Updated: Sep 26, 2026
Website: https://liquilens.in/agents/#source-data⁠ (opens in a new tab)
Repository: https://github.com/beepboop2025/liquilens-mcp⁠ (opens in a new tab)
Categories (suggested): Finance and paymentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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