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Seiche — world-markets evidence terminal

作者:beepboop2025版本 0.16.11i★ –i电脑或云端
注册名称io.github.beepboop2025/seiche

安装

概览

作者提供的说明(英文原文)

Money, FX, capital-market and metadata-only China macro evidence with source clocks and limits.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://api.seiche.info/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "seiche": {
      "command": "uvx",
      "args": [
        "seiche"
      ],
      "env": {
        "SEICHE_MCP_PUBLIC": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http seiche https://api.seiche.info/mcp

或者在你的电脑上运行

claude mcp add seiche --env SEICHE_MCP_PUBLIC=your-value -- uvx seiche

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "seiche": {
      "url": "https://api.seiche.info/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "seiche": {
      "command": "uvx",
      "args": [
        "seiche"
      ],
      "env": {
        "SEICHE_MCP_PUBLIC": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "seiche": {
      "type": "http",
      "url": "https://api.seiche.info/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "seiche": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "seiche"
      ],
      "env": {
        "SEICHE_MCP_PUBLIC": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://api.seiche.info/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SEICHE_MCP_PUBLIC env
    Seiche 0.16.11: Set to 1 to expose the eight public research tools: source_rights_status, money_market_context, market_workbench, world_markets_context, gift_city_context, gold_inventory_carry, resea…

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • source_rights_status

    List the research tools available in this release and legacy features withheld pending source qualification. Returns policy and source-rights metadata only; does not grant redistribution rights or certify freshness.

  • gift_city_context

    Read dated USD/INR funding, separate ECB and CBUAE VAT FX references, and CFTC COMEX gold positioning. Cache-only research with source clocks; no executable prices or regulatory eligibility determination.

  • gold_inventory_carry

    Calculate fine gold, simple financing cost and INR per fine gram from explicit decimal-string assumptions. All inputs are caller supplied, no quote is verified, and inputs are not persisted.

  • market_workbench

    Query dated observations for a selected currency pair and optional accepted China annual series. Choose this for a time series, same-date FX cross, or observed-interval change; use world_markets_context for a chartless overview and money_market_context for funding-desk metrics. R

  • research_network

    Discover which published datasets and sibling-product tools can answer a research question. Choose this for catalog discovery and handoff links, not for market observations: use world_markets_context for a market overview or market_workbench for supported FX and China histories.

  • money_market_context

    Inspect a funding desk's rates, spreads, policy corridor, liquidity buffers and source-level evidence. Choose this for detailed funding metrics; use funding_stress_now for the headline US stress regime, world_markets_context for a cross-asset overview, or market_workbench for FX

  • world_markets_context

    Summarize the available money-market, FX, macro-capital and China evidence when a question spans markets or its scope is not yet clear. Start with section='summary', then select a relevant section. For detailed funding metrics use money_market_context; for dated FX/accepted China

  • data_health

    Freshness, provenance, and fault status for every underlying series (FRED, NY Fed, OFR, Treasury). Call this to confirm the board is current before relying on a reading.

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 beepboop2025 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 811 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 8 个工具描述,未发现针对 AI 的隐藏指令

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4926 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4926 个服务器的 83% 更新
  • 基础检查结果等于或优于此分类中其他 4926 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Seiche — world-markets evidence terminal 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.16.11)于6天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github广泛使用★ 3.4万5天前更新

电脑或云端

Desktop Commander

MCP server for terminal commands, file operations, and process management

作者:wonderwhy-er广泛使用↓ 71万/周★ 1万17天前更新

在你的电脑上运行

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare正在增长★ 444614个月前更新

在云端运行✓ mcp.cloudflare.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

SEICHE

Release scope: 28 October 2026

Eight public research tools are available: source_rights_status, money_market_context, market_workbench, world_markets_context, gift_city_context, gold_inventory_carry, research_network, data_health. Start with source_rights_status. Retired forecasts, backtests, editorial, composite and derived legacy tools are unavailable for every caller while their source reuse rights and replacements remain unqualified. A bearer token or payment does not unlock them. Do not reconstruct withheld observations from metadata, cached history or prior responses. Direct publisher observations keep their own dates; restricted inputs remain explicitly metadata-only. Authenticated callers can additionally discover five private, non-executable Agent Room tools. Earlier feature descriptions below are historical context where they conflict with this release scope; they do not advertise availability.

Connect and ask one question

Hosted Streamable HTTP MCP; no local server or API key for public read-only tools. Add the products you need to Claude Code:

claude mcp add --transport http seiche https://api.seiche.info/mcp

claude mcp add --transport http liquilens https://api.liquilens.in/mcp claude mcp add --transport http undertow https://api.seiche.info/undertow/mcp

Try this first: What is the current US funding stress regime, and which dated funding events are next? Cite source dates and missing evidence.

Try it in your browser · Cursor configuration · Codex commands · Free three-product starter kit and skill

For a connected review, ask for institution evidence → funding context → BTC exit estimates, with each source date, coverage gap and limitation kept separate. Client/model costs and fair-use limits may apply. Research calls do not execute trades.

Choose the tool by the answer you need

Start with source_rights_status for feature availability and data_health for source clocks and faults. The broader tools have different jobs:

Needed outputToolFirst arguments
Cross-market summary and coverage gapsworld_markets_context{"section":"summary"}
Detailed rates, spreads and funding-desk evidencemoney_market_context{"section":"summary"}
Dated FX observations and accepted China annual historiesmarket_workbench{"provider":"h10","base":"USD","quote":"CNY","days":365}
Dataset catalog and links to sibling-product toolsresearch_network{"topic":"institutions","offset":0,"limit":12}
Compact cached funding metadata for an automated guardtrade_safety_risk_context{}

Start with the row matching the task. The tool selection guide includes all public tools, example questions and a repeatable funding-review workflow.

Public US dollar funding research from source-dated Fed and Treasury observations. Live board: seiche.info.

Dated answers to common research questions explain the numbers, source dates and limits.

LiquiLens, Seiche and Undertow are connected research products from LIQUILENS PRIVATE LIMITED, a registered company in India. Built for international review workflows: institution evidence → funding conditions → market liquidity. Market coverage, source clocks and authority remain specific to each product. Company and investors · Company profile · Try the connected workflow.

A seiche is a standing wave in an enclosed body of water — invisible from the

shore, until it sloshes over the edge. Funding stress behaves the same way.

Seiche is a free, open source (AGPL-3.0-or-later) money-, foreign-exchange and capital-market evidence terminal organized around the dollar funding system — US money markets, 22 public H.10 currency reference series, the Treasury capital-market complex, the global basins connected through swap lines, and the offshore-dollar crypto basin moored to the T-bill market through stablecoins. The core US board and USD desk use free official/public APIs (FRED, NY Fed Markets, OFR STFM, Treasury FiscalData, CFTC, ECB Data Portal, DeFiLlama, Coinbase Exchange). The global market-pack catalog can also declare licensed or tenant sources, but public outputs obey each source's redistribution policy and never expose restricted raw values.

Seiche publishes a construction-PIT historical diagnostic—with misses and eligibility limits kept visible—and is now accruing a separate as-published forward record that can be verified instead of reconstructed. Licensed terminals provide much broader real-time data and execution workflows, while OFR and NY Fed dashboards provide authoritative source views. Seiche is a narrower, opinionated research layer: forward-looking, alerting-ready, and provenance-honest. It is not a Bloomberg/Reuters replacement, a real-time quote service, or an execution venue.

The lab

Seiche is one of three altitudes in a single liquidity lab that fills that gap: Seiche reads the plumbing, [LiquiLens](https://liquilens.in) organizes institution evidence for review, and Undertow measures market liquidity itself (who provides depth in each segment, what an exit at position size costs today). The wiring between the three is real, not a brochure: the desk assistant pulls the LiquiLens failure board over MCP, the MARKET tab renders Undertow's published pack live, and the Windfetch engine reads the FETCH pack built in the Undertow repo back into this board. On names: the internal composite engine called "undertow" (critical slowing down, engines/undertow.py) is unrelated to the Undertow sister product.

For a first connected review, start with funding context in the browser. The shared portfolio plan prioritizes a recurring reviewer task while keeping each product's evidence and authority separate.

For a recurring agent workflow, the free starter kit combines Seiche funding context with LiquiLens bank evidence and Undertow exit estimates. Use the Hermes or OpenClaw setup guide. The selected public tools need no API key; fair-use limits and separate model-provider costs apply.

Use Seiche everywhere

Seiche is distributed as software, an MCP service, a research dataset, and machine-readable catalog metadata. Status is receipt-based: listed means a durable public record and receipt exist, prepared means an owner-controlled submission or publication remains, and blocked means a named prerequisite must clear first. “Usable in repo” describes local artifact readiness, not a ledger status. The auditable source of truth is distribution/submissions.csv.

SurfaceWhat is availableStatus
OpenBBTyped provider and obb.seiche router for funding stress, world markets, and data health (extension)0.1.1 published on PyPI; ecosystem PR #13 archived/unmerged; official family Marketplace application submitted, review and fee waiver pending
ZenodoRelease deposition metadata, citation identity, and related-source records (metadata)Prepared; no deposit or DOI claimed
Hugging FaceRights-reviewed direct-OFR dataset card and staging layout (dataset card)Validated draft; upload prepared
KaggleDataset metadata and reference-only staging layout (metadata)Validated draft; upload prepared
SmitheryOwner-published hosted endpoint entry (live record)Listed; authenticated refresh accepted, cached aliases may lag. Public inventory rechecked 11 October: 16 tools
MCP directoriesOfficial Registry, Glama, Smithery, and eight additional live indexes (dated inventory)11 existing records; current checks and older observations dated separately
Research notebooksCommit-pinned, hash-checking direct-OFR workflow (notebook)Usable in repo
Python / R / JavaScriptZero-secret world-markets API clients with evidence-contract checks (clients)Usable in repo
Market Atlas + structured corpusInteractive canonical market observations, rights-aware dataset receipts, full normalized BIS records, Seiche partitions, public API and MCP (contract)Live gateway; protected exports remain restricted and bulk records use bounded snapshot cursors
DockerDistroless, non-root, read-only Compose image and signed GHCR publication workflow (guide)Built and tested locally; GHCR prepared
Academic dataset10 direct-OFR series and 11,163 audited observations, excluding restricted and derived rows (research kit)Validated draft; not submitted
Data catalogsNative-validated Croissant/Frictionless, graph-parsed DCAT 3/RO-Crate 1.3, and a DOI-free DataCite planning draft (metadata kit)Validated as labeled; publication prepared
AI integrationsHosted MCP configs for Claude Code, Cursor, VS Code, Gemini CLI, and Codex; separate OpenAI workspace/submission guidance (configs)Configs usable; OpenAI listing prepared
PyPIPython package and stdio MCP server (pip install seiche)0.16.5 published on PyPI; use the immutable version when pinning an installation

Version 0.16.3 estuary checks the four monthly OFR money-market-fund series and six quarterly BIS series daily while preserving their observation dates and native release cadence. Signed deployment and publication acceptance are required before this source change is live.

Version 0.16.2 estuary prepares the reviewed Google-Extended policy, three dated dollar-funding answers and Riptide's public paper allocation beside the Market desk. The policy permits grounding/training only on three reviewed original explanations; source data, archives and other pages remain excluded. New signed application and publication receipts are required before these changes are live. The inherited 0.16.1 release connects the UAE DONIA reference to GIFT City's AED card and retains country funding and sovereign references for China, Japan, South Korea, Taiwan, Australia, the United Kingdom, all 21 euro-area countries and seven other European countries. Official observations retain their source dates, native frequency and gaps. The eight public MCP tools expose the country catalog through money_market_context(section="countries"); add country="JP" for a country desk or use section="india" for the India desk. New official SOFR, EFFR, IORB, overnight reverse-repo and New York Fed funding observations can reach the daily review without waiting through the previous four-to-twelve-hour cache windows. Failed refreshes retain the original source dates and stale warnings. Deployment and immutable package publication remain subject to signed release gates.

The verified NY Fed historica

只显示了开头部分;其余内容请在仓库中阅读

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