Seiche, LiquiLens and Undertow source data
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"financial-source-data": {
"url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
}Remote-Endpunkte
https://api.seiche.info/api/v2/research-data/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (6)
🟢research_tracked_institutions(scope, q, limit, offset)
Search the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.
Eingabe-Schema
{
"type": "object",
"properties": {
"scope": {
"type": "string",
"enum": [
"dossiers",
"rbi_registry"
]
},
"q": {
"type": "string",
"maxLength": 150
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 500
},
"offset": {
"type": "integer",
"minimum": 0,
"maximum": 10000000
}
},
"additionalProperties": false
}🟢research_catalog(product)
Discover scoped funding, institution and chain-settlement datasets with coverage and rights.
Eingabe-Schema
{
"type": "object",
"properties": {
"product": {
"type": "string",
"enum": [
"seiche",
"liquilens",
"undertow"
]
}
},
"additionalProperties": false
}🟢research_series(dataset, q, limit, offset)
Search the metric catalog and native unit definitions in a dataset.
Eingabe-Schema
{
"type": "object",
"properties": {
"dataset": {
"type": "string"
},
"q": {
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 10000
},
"offset": {
"type": "integer",
"minimum": 0,
"maximum": 10000000
}
},
"required": [
"dataset"
],
"additionalProperties": false
}🟢research_entities(dataset, q, limit, offset)
Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.
Eingabe-Schema
{
"type": "object",
"properties": {
"dataset": {
"type": "string"
},
"q": {
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 10000
},
"offset": {
"type": "integer",
"minimum": 0,
"maximum": 10000000
}
},
"required": [
"dataset"
],
"additionalProperties": false
}🟢research_observations(dataset, series, entity, start, end, ...)
Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.
Eingabe-Schema
{
"type": "object",
"properties": {
"dataset": {
"type": "string"
},
"series": {
"type": "string"
},
"entity": {
"type": "string"
},
"start": {
"type": "string"
},
"end": {
"type": "string"
},
"as_known_at": {
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 10000
},
"offset": {
"type": "integer",
"minimum": 0,
"maximum": 10000000
}
},
"required": [
"dataset",
"series"
],
"additionalProperties": false
}🟢research_analysis(product)
Read descriptive funding, institution concentration and settlement analysis with input references and limits.
Eingabe-Schema
{
"type": "object",
"properties": {
"product": {
"type": "string",
"enum": [
"seiche",
"liquilens",
"undertow"
]
}
},
"additionalProperties": false
}Community
Nachweis