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Seiche — world-markets evidence terminal MCP Server

answering

Seiche — world-markets evidence terminal is answering right now. Last checked moments ago. 1 205 installs a week from pypi. It exposes 8 tools. Last commit 5 Nov 2026.

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

Installs per day peak 684 · avg 230 · -35% w/w
a month agotoday
Uptime history 91 days of history · worst day 28%
91 days agonow
81.5%
Uptime 24h
75 of 92 checks
8
Tools
read from the server
421 ms
Response time
average over 24h
1 205
Installs / week
npm and PyPI

What changed 58

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 8 August 2026. No other catalogue keeps this.

29 Oct 9 tools disappeared crypto_stress_record, funding_stress_now, fx_materials_passage and 6 more
29 Oct a tool appeared source_rights_status
29 Oct a tool description was rewritten world_markets_context
29 Oct a tool changed the parameters it asks for market_workbench
23 Oct 6 tool descriptions were rewritten funding_stress_now, market_workbench, money_market_context and 3 more
23 Oct 2 tools changed the parameters they ask for market_workbench, research_network
17 Oct a tool description was rewritten money_market_context
17 Oct a tool changed the parameters it asks for money_market_context
14 Oct a tool description was rewritten latest_article
6 Oct a tool description was rewritten money_market_context
and 34 more, back to 8 August 2026

What the code does

We read the source, 2 d ago · tools taken from the live server · rules 995398eba69f

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Runs commands and sends data out [пакет] seiche/alerts.py:54
        subprocess.run(
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Builds a file path from a variable bot/rissaga.py:737, bot/seiche_bot.py:518
    return os.path.join(STATE_DIR, name)
        exec(compile(body, str(path), "exec"), module.__dict__)
Image runs as root Dockerfile:18
# Patch the signed CA, Brotli, Expat and pip-wheel packages without advancing these Python 3.14
# images to Python 3.15. apk verifies the existing repository keys and updates
# its real package database. Remove this step once both pins include the fixes.
USER 0

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Seiche — world-markets evidence terminal and you get told the day something new turns up.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add seiche --transport http https://api.seiche.info/mcp
Settings → Connectors → Add custom connector, then paste this address
https://api.seiche.info/mcp
~/.codex/config.toml
[mcp_servers.seiche]
url = "https://api.seiche.info/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "seiche": {
      "url": "https://api.seiche.info/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "seiche": {
      "type": "http",
      "url": "https://api.seiche.info/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

data
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.
gift
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
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
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. Read cached official FX reference histories and same-date currency crosses, with native units, provenance, age and observed-interval changes. Inspect owner-accepted Palimpsest China annual economic series and revision-aware history beside the CNY reference. Daily fixings, annual context and licensed gaps remain distinct. No collection, model fitting, executable quotes or scoring.
money
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 and accepted China time series. Start with section='summary' for USD. Use section='countries' for the public-source country catalog, or add country='JP' (a supported ISO alpha-2 code; UK is an alias for GB) for dated policy, funding, liquidity and sovereign references. Country coverage is partial and monthly references are explicitly separate from daily curves. Granular, descriptive USD money-market context from the already assembled desk: policy corridor and overnight spreads; SOFR/TGCR/BGCR distributions and tails; repo-segment rates and volumes; CP-Treasury spreads; bills and cash curve; liquidity buffers and Fed facilities; and MMF repo plumbing. Use section='india' for the India funding, RBI liquidity, policy and sovereign-curve desk from a bounded canonical observation read. It keeps benchmark identities, date alignment, curve movements and mechanism hypotheses separate. India defaults to view='full' for compatibility; prefer view='summary' for findings, constraints and an exact metric ID catalog, then view='metric' with metric_id for one complete evidence card. These India-only views are independent reads, not a pinned snapshot or pagination. Otherwise use optional `section` to request a compact summary, one named USD desk section, diagnostics, sources, methodology, or all context. Diagnostics count funding persistence, compare secured/unsecured benchmarks and show calendar cohorts with sample limits, without changing any score. Returns exact-date alignment, native-cadence changes, empirical own-history statistics, freshness, coverage, formulas, sources, and caveats as applicable. Chart history is always omitted. USD reads only an already completed cached or persisted snapshot; it never triggers collection or engine recomputation, while freshness is re-evaluated at response time. Context only: no causal, predictive, probability, or trade claim.
research
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. Explore the Palimpsest dataset catalog by topic, with source clocks, rights, freshness and pagination. Includes Seiche's separately completed funding context and explicit research steps into institution filings, exit liquidity and NarcoScope's granular global data. Source metadata and funding interpretations stay distinct. May fetch the published catalog; does not retrieve underlying dataset values or call the suggested sibling tools. No source collection, score changes, causal joins or trading authority.
source
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.
world
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 observations use market_workbench; for external dataset discovery use research_network. This chartless overview is not a time-series query. It projects only completed/public state into money_markets, forex, macro-capital transmission, China macro evidence, official references, methodology, or a compact summary. Every response carries snapshot/as-of clocks, canonical Seiche citation URLs, and explicit observed, derived, structural, restricted, and unavailable boundaries. The China structural catalog is unsigned; only status=restricted represents a verified Seiche owner-attested revision; both states keep NBS values, raw evidence, and history withheld. A separately operator-accepted economic_context may publish licensed World Bank WDI values with annual/structural freshness, distinct release, Palimpsest collection, and Seiche acceptance clocks. Those values are context only and never a live print, score, gauge, forecast, or signal. The sources selector is reference-only; use all when verified China context and its NBS source linkage must appear together. Coverage is curated and partial rather than exhaustive or uniformly live. It never triggers collection, repository history reads, or model fitting. Its named-field whitelist omits chart and history arrays for data minimization; that is not a per-record licensing audit. Capital coverage is limited to public positioning proxies, Treasury primary-market absorption, market stress, official liquidity and global dollar credit—not a security master, issuer-data service or consolidated tape. Executable depth, liquidity-provider concentration, and position-sized exit costs are outside this tool's scope.

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

ask_desk
removed 4 Aug 2026
desk_brief
removed 4 Aug 2026
funding_stress_forecast
removed 4 Aug 2026
positioning_book
removed 4 Aug 2026
replay_asof
removed 4 Aug 2026
crypto_stress_record
removed 29 Oct 2026
funding_stress_now
removed 29 Oct 2026
fx_materials_passage
removed 29 Oct 2026
historical_analogs
removed 29 Oct 2026
institutional_flows
removed 29 Oct 2026
latest_article
removed 29 Oct 2026
oil_funding_context
removed 29 Oct 2026
proof_backtest
removed 29 Oct 2026
trade_safety_risk_context
removed 29 Oct 2026

Endpoints

URLTransportStateLatencyChecked
https://api.seiche.info/mcp streamable-http answering 295 ms 0 min ago

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Seiche — world-markets evidence terminal — questions

Answers built from our own checks of this server.

What can Seiche — world-markets evidence terminal do?
It exposes 8 tools, read directly from the server on our last check. Among them: data_health, gift_city_context, gold_inventory_carry, market_workbench, money_market_context, research_network and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Seiche — world-markets evidence terminal working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 75 of 92 checks got a reply (81.5%), average response time 421 ms. The bar chart above shows every period we have measured.
Did Seiche — world-markets evidence terminal ever remove tools?
Yes. ask_desk, desk_brief, funding_stress_forecast, positioning_book and 10 more are no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.
How do I connect Seiche — world-markets evidence terminal?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Seiche — world-markets evidence terminal need an API key?
No. Seiche — world-markets evidence terminal completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Seiche — world-markets evidence terminal?
It answers our handshake in 421 ms on average, which is faster than 30% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Seiche — world-markets evidence terminal?
The pypi package seiche was installed 1 205 times in the last week. Week over week that is -35%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Seiche — world-markets evidence terminal open source?
The code is open source: it is published under the AGPL-3.0 licence, written in Python, 2 stars on GitHub and 4 open issues. The licence covers the code in the repository, not the hosted service at api.seiche.info, which runs on its operator's own terms.