Seiche, LiquiLens and Undertow source data

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

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

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

    How to connect

    How to connect Seiche, LiquiLens and Undertow source data to Claude

    The server address to paste into Claude settings:

    https://api.seiche.info/api/v2/research-data/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Seiche, LiquiLens and Undertow source data to ChatGPT

    The server address to paste into ChatGPT settings:

    https://api.seiche.info/api/v2/research-data/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Seiche, LiquiLens and Undertow source data to Cursor

    The server address to paste into Cursor settings:

    https://api.seiche.info/api/v2/research-data/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (8)

    Raw names from tools/list. Only developers need these.

    research_workspaceRead the same coverage, source freshness, gaps and descriptive overview as the website. Compare snapshot_id across REST/MCP; independent source clocks remain explicit.
    research_series_summaryAnalyze 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.
    research_tracked_institutionsSearch the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.
    research_catalogDiscover scoped funding, institution and chain-settlement datasets with coverage and rights.
    research_seriesSearch the metric catalog and native unit definitions in a dataset.
    research_entitiesFind regulator identifiers for institutions; names are not fuzzy-joined across regimes.
    research_observationsRead cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.
    research_analysisRead descriptive funding, institution concentration and settlement analysis with input references and limits.