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  1. Home
  2. πŸ’° Finance & Fintech
  3. Undertow β€” market liquidity map
Undertow β€” market liquidity map logo
Health: ActiveRecent health check succeeded.Last checked 10/12/2026, 10:32:47 AM

Undertow β€” market liquidity map

User RatingsBe the first to rate and review this MCP server!Ownership verifiedThe owner proved control of this listing via a GitHub README, site badge, or DNS TXT record.
View RepositoryVisit WebsiteSupport
financemarket-liquiditycryptomcp

Maps venue exit costs, market depth, liquidity tiers, and stress indicators through read-only MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Also available as a hosted endpoint

Clients with native remote MCP support can connect directly to this URL instead of the install method above.

Remote endpoint
https://api.seiche.info/undertow/mcp
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "undertow-market-liquidity-map-2": {
      "url": "https://api.seiche.info/undertow/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (24) Directory Badge AlternativesπŸ’° More in Finance & Fintech

Overview

Undertow β€” market liquidity map provides read-only MCP tools for estimating market exit costs, comparing venue depth, and tracking liquidity stress. It connects through a hosted streamable-HTTP endpoint, with free public tools and additional subscriber-only tools. Use it when an agent needs position-sized liquidity evidence rather than an executable trading quote. A local stdio adapter is also available for clients that require stdio.

Use cases

β€’Compare estimated sell costs across venues
β€’Assess liquidity concentration before unwinding a position
β€’Review historical depth-collapse episodes
β€’Stress-test crypto funding and portfolio exposures

Key features

β€’Per-venue exit-cost estimates by published size rung
β€’BTC sell-size comparisons with observation clocks
β€’Venue depth concentration and liquidity tiers
β€’Historical depth-collapse episode data
β€’Caller-supplied funding and portfolio stress calculations
β€’Public and subscriber MCP tool surfaces

Capabilities & Tool Schemas (24) ~136 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Undertow β€” market liquidity map.

agent_access_status

free

board_full

subscriber

corporate_transmission

subscriber

crypto_exit_check

free

crypto_funding_cost

free

crypto_portfolio_stress

free

How Undertow β€” market liquidity map works

What Undertow β€” market liquidity map does

Undertow provides market-liquidity and exit-cost evidence through MCP. Its tools cover per-venue selling costs, quoted-depth concentration, observed depth-collapse episodes, market-segment liquidity tiers, and selected funding or exposure scenarios. Results are read-only and are intended for analysis rather than order execution.

The public surface includes tools such as exit_cost, crypto_exit_check, venue_concentration, depth_episodes, liquidity_tiers, unwind_watch, trade_safety_exit_context, sealed_record, and agent_access_status. Subscriber tools add broader views including exit_desk_full, exit_schedule, board_full, corporate_transmission, household_credit, divergence_status, tide_clock, and unwind_stress. Access rights are checked for subscriber requests.

How it works

The hosted endpoint is https://api.seiche.info/undertow/mcp and uses streamable HTTP. Public requests do not require an API key or wallet. The service publishes observation times, venue inputs, size rungs, coverage gaps, and method details with relevant results.

Exit estimates are based on published size rungs. exit_cost reports a nearest-rung per-venue cost in basis points, approximate dollar impact, the cheapest and most expensive observed venues, and the spread between them. crypto_exit_check compares up to four requested BTC sell sizes against published rungs and does not interpolate between them. These figures are estimates, not executable quotes, and venue rankings can change during the day.

Other tools calculate caller-supplied funding costs or portfolio shocks, summarize venue concentration, identify realized depth-collapse episodes, and assign liquidity tiers to segments including U.S. Treasuries, investment-grade and high-yield credit, equities, ETFs, FX, China-related markets, and crypto. The tier response can include measure counts, replay eligibility, and a stated reason when a score is withheld.

Setup and configuration

The simplest connection uses the hosted URL directly. Claude Code can add it with:

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

Claude Desktop can use the repository’s stdio adapter. Local setup requires Python 3.12 or newer and uv:

sh
uv sync --locked
uv run --locked undertow-mcp

Docker is also supported through the repository’s root Dockerfile. The adapter requires outbound HTTPS access to api.seiche.info; it does not need a key, bearer token, wallet, port, volume, or environment setting. The hosted service is the route to subscriber tools, while the stdio adapter exposes the anonymous public surface and guided prompts.

Limitations and notes

Undertow β€” market liquidity map does not provide executable prices, trading, wallet access, or order placement. Published estimates can be stale or affected by depth and coverage gaps, so the observation clock and venue inputs should be reviewed before using a result.

The adapter disables redirects, environment proxies, and arbitrary upstream URLs. Requests are limited to 64 KiB, responses to 2 MiB, and each upstream operation to 10 seconds including queue wait. It does not automatically retry requests or cache responses. Upstream version or catalog drift fails closed, while tool results, errors, and entitlement refusals are preserved.

The hosted protocol supports several MCP revisions, including the 2025-03-26, 2025-06-18, 2025-11-25, and 2026-07-28 behavior described by the project. The service exposes no MCP resources or resource templates. Settlement histories and source receipts are provided through a separate source-data MCP rather than this listing.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
4d ago
Most recent push to the default branch.
Tools exposed
24
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Undertow β€” market liquidity map

Undertow β€” market liquidity map is an MCP server that connects AI clients to a hosted market-liquidity API. Its main tools estimate venue-specific exit costs, compare BTC sell sizes, measure venue concentration, report depth-collapse episodes, assign liquidity tiers, and expose related funding or portfolio stress analysis.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Claude Code, VS Code (GitHub Copilot)
Last updatedOct 8, 2026
4/4 checks healthy over the last 31d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 8, 2026
78Quality signal: Great Β· 78/100How this signal is calculated β–Ύ
Server availability25/25
Verified ownership20/20
Documentation & tools29/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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