Seiche, LiquiLens and Undertow source data
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"financial-source-data": {
"url": "https://api.seiche.info/api/v2/research-data/mcp"
}
}
}遠端端點
https://api.seiche.info/api/v2/research-data/mcpstreamable-http它能做什麼
工具清單
工具（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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"type": "object",
"properties": {
"product": {
"type": "string",
"enum": [
"seiche",
"liquilens",
"undertow"
]
}
},
"additionalProperties": false
}社群
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