Seiche

Seiche is an open-source money-, foreign-exchange, and capital-market evidence terminal, with its deepest live coverage in US-dollar funding. It joins public and official sources from the Federal Reserve, New York Fed, OFR, US Treasury, CFTC, and other authorities into a source-clocked research surface.

Every output keeps its as-of date, provenance, evidence status, known gaps, and point-in-time eligibility attached. Seiche is a research and evidence tool—not a real-time quote service, execution venue, or investment adviser.

Live terminal: seiche.info
Developer guide and tool runner: seiche.info/developers
Source and full documentation: github.com/beepboop2025/seiche
Hosted MCP server: https://api.seiche.info/mcp

Install and run

Seiche requires Python 3.12 or newer.

python3.12 -m venv .venv
.venv/bin/pip install seiche
.venv/bin/seiche pull
.venv/bin/seiche brief

Start the local REST API and terminal UI with:

.venv/bin/seiche serve

The first pull can be slower while the local cadence-aware cache is populated. Subsequent reads reuse that cache and continue to expose stale or unavailable inputs explicitly instead of silently dropping them.

Use Seiche from an AI agent

Seiche is a Model Context Protocol server. Run it locally over stdio:

SEICHE_MCP_PUBLIC=1 .venv/bin/seiche-mcp

Or connect an MCP-capable client directly to the public Streamable HTTP server:

https://api.seiche.info/mcp

Eleven evidence/context tools are anonymous: the current funding-stress read, historical analogs, public backtest, data health, crypto record, institutional flows, oil/funding, FX/materials, US money markets, world markets, and the latest article. Five higher-cost forecast, replay, positioning, prose, and LLM tools require an account and are omitted from anonymous tools/list responses.

The canonical registry ownership marker is:

mcp-name: io.github.beepboop2025/seiche

See the MCP integration guide for Claude, Codex, Cursor, VS Code, and raw JSON-RPC examples.

Data and licensing boundary

The source code is licensed under AGPL-3.0-or-later. Upstream data keeps its own terms: Seiche's software license does not grant redistribution rights over data from third parties. Public outputs distinguish redistributable observations, bounded derived context, metadata-only sources, restricted inputs, and declared gaps. Review the source citation and rights fields before republishing data.

For research citation, use the repository's CITATION.cff; for defects or data questions, open a GitHub issue.

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Provenance

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Publisher: publish-pypi.yml on beepboop2025/seiche

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: seiche-0.11.1.tar.gz
- Subject digest: 0fa965b00f0c81a5f9ad8a5d66a4140523a90f962f3bdcf196fd884d89057a15
- Sigstore transparency entry: 2581560182
- Sigstore integration time: Aug 24, 2026
Source repository:
- Permalink: beepboop2025/seiche@0cd20bfd0a4d274c8bb8173f6fe59e2d2f5259db
- Branch / Tag: refs/tags/v0.11.1
- Owner: https://github.com/beepboop2025
- Access: public
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- Runner Environment: github-hosted
- Publication workflow: publish-pypi.yml@0cd20bfd0a4d274c8bb8173f6fe59e2d2f5259db
- Trigger Event: push