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  1. Home
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  3. Renoun MCP
Renoun MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 1:32:43 AM

Renoun MCP

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View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
cryptotradingrisk-managementfinance

Classifies crypto market regimes and stability to help trading systems decide whether to proceed, reduce exposure, or avoid trades.

Quick Install

Automated & IDE Setup

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

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for 98lukehall/renoun-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧮 More in Data Science Tools

Overview

98lukehall/renoun-mcp MCP server presents ReNoUn’s crypto market regime analysis for AI agents and trading systems. Its API evaluates live Binance symbols or supplied OHLCV data and returns a bounded, active, or unstable regime with an action, exposure value, and stability half-life. Reach for it when an automated strategy needs a structural risk gate rather than a directional price prediction. The service requires a provisioned bearer key and includes a free daily call allowance before usage charges apply.

Use cases

•Gate crypto trades based on current structural stability
•Scale position size using the returned exposure value
•Monitor regime half-life before entering or exiting a trade
•Evaluate multiple assets and a portfolio aggregate
•Register notifications for regime changes

Key features

•Classifies bounded, active, and unstable market regimes
•Returns proceed, reduce, or avoid actions
•Estimates regime stability half-life
•Accepts live Binance symbols or custom OHLCV data
•Supports batch analysis for up to 10 assets
•Provides regime-change webhooks

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Renoun MCP.

Extracted Tool Capabilities
Classifies bounded, active, and unstable market regimes
Returns proceed, reduce, or avoid actions
Estimates regime stability half-life
Accepts live Binance symbols or custom OHLCV data
Supports batch analysis for up to 10 assets
Provides regime-change webhooks

How Renoun MCP works

What 98lukehall/renoun-mcp MCP server does

The 98lukehall/renoun-mcp MCP server exposes ReNoUn’s structural analysis for crypto markets. Its primary result classifies market conditions as bounded, active, or unstable, and pairs that classification with an operational action: proceed, reduce, or avoid.

The service is intended for trading bots, autonomous agents, and quantitative systems that need a pre-trade risk check. It does not predict whether an asset will rise or fall. Instead, it evaluates whether the current market structure appears stable, changing, or fragmented.

Responses include a Dialectical Health Score from 0.0 to 1.0, an exposure scalar, an expected movement envelope, a constellation label, and a stability block. The stability block can include a half-life in minutes, a stability score, an instability level, a human-readable time horizon, and an urgency such as watch, prepare_exit, or exit_now.

How it works

ReNoUn analyzes OHLCV candle data through 17 channels grouped into Recurrence, Novelty, and Unity measurements. These channels consider characteristics such as repeated price or volume behavior, regime changes, volatility disruptions, trend cohesion, and structural alignment.

The resulting measurements contribute to the Dialectical Health Score and to one of eight named constellations. Examples include CLOSED_LOOP and HIGH_SYMMETRY for bounded conditions, CONVERGENCE and PATTERN_BREAK for active conditions, and SCATTERING or REPEATED_DISRUPTION for unstable conditions. Stability estimates use factors including score momentum, channel trends, novelty pressure, constellation persistence, and stabilizing or destabilizing sequences.

Setup and configuration

The 98lukehall/renoun-mcp MCP server’s documented HTTP API is hosted at https://web-production-817e2.up.railway.app. A client can request an agent key by sending an email and agent name to /v1/keys/provision. The response supplies a key with the rn_agent_ prefix. Requests to protected endpoints use that key as a bearer token.

The default agent tier includes 50 calls per day at no charge. Calls beyond that allowance cost $0.02 each. The README also describes a paid Pro tier with 1,000 daily free calls and included usage, but it does not provide MCP client configuration in the supplied excerpt.

Tools and capabilities

Documented API operations include:

  • Querying live regime and stability data for a Binance symbol with GET /v1/regime/live/{symbol}.
  • Submitting custom OHLCV klines to POST /v1/regime.
  • Requesting multi-asset results and a portfolio aggregate through POST /v1/regime/batch, for up to 10 assets.
  • Checking daily usage through GET /v1/usage.
  • Registering and listing regime-change webhooks.
  • Checking service liveness and version information through /v1/status.
  • Viewing the interactive OpenAPI documentation at /docs.

Regime responses also provide machine-readable X-ReNoUn-* headers for the regime, action, stability score, half-life, urgency, and cache status.

Limitations and notes

The service is a structural risk gate, not a directional trading signal. The README reports 100% bounded-regime accuracy across more than 128 graded predictions, but also states that active regimes have lower accuracy and are intended for position scaling rather than full-size trades. Results should therefore be interpreted according to the returned action and exposure fields.

The supplied README excerpt begins an MCP section referring to Claude Desktop, but does not include the server command, package name, transport details, or client configuration. It therefore does not establish a directly executable local MCP installation method. The documented API is authenticated, rate-limited, and subject to the stated free-call and per-call pricing rules.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Renoun MCP

The supplied README documents a hosted HTTP API and starts an MCP section, but the excerpt does not provide a package, server command, or complete MCP configuration.

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Technical Specs & Signals

Category🧮Data Science Tools
PricingFreemium
More technical detailsExpand â–¾
AuthAPI key
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
Views3
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 stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 22, 2026
41Quality signal: Fair · 41/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools19/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — 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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