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  3. Signallord MCP Server
Signallord MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 9:15:59 PM

Signallord MCP Server

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View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
bitcoinfinancemarket-analysistradingmacro

Analyzes Bitcoin market regimes, historical matches, probabilities, macro signals, and cycle indicators through 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
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "kk6bzb-signallord-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

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

Install Tool Schemas (26) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

KK6BZB/signallord-mcp-server MCP server connects AI clients to Signal Lord’s Bitcoin market intelligence API. It exposes tools for regime detection, historical pattern matching, composite gauges, macro and institutional indicators, on-chain metrics, and Odin AI analysis. The server runs locally with streamable HTTP transport and forwards requests to the Signal Lord backend using an API key. Reach for it when an agent needs market-cycle context and probability-based analysis rather than a standalone BTC price feed.

Use cases

β€’Detect the current Bitcoin market regime
β€’Compare present conditions with historical Bitcoin periods
β€’Review macro, institutional, and on-chain market signals
β€’Ask Odin questions about BTC markets
β€’Check cycle-top and cycle-bottom probability scores

Key features

β€’Bitcoin regime detection with historical matches
β€’Composite and individual gauge scores
β€’Macro, institutional, derivatives, and on-chain metrics
β€’Odin AI market analysis and Q&A
β€’Bitcoin cycle and probability indicators
β€’Signal freshness and data-health reporting

Capabilities & Tool Schemas (26) ~470 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 Signallord MCP Server.

signallord_get_regime

Current regime, historical matches, outcome probabilities

signallord_get_regime_history

Regime evolution over time from daily snapshots

signallord_get_composite_score

Composite 0-100 score with regime label

signallord_get_gauge_breakdown

Individual gauge scores (4 free, 8 premium)

signallord_get_gauge_history

Historical scores for trend analysis

signallord_get_odin_analysis

AI market analysis (basic free, enriched premium)

How Signallord MCP Server works

What KK6BZB/signallord-mcp-server MCP server does

KK6BZB/signallord-mcp-server MCP server gives AI agents access to Signal Lord’s Bitcoin regime and market-analysis features. Its tools identify the current market regime, compare present conditions with historical periods, and return probabilities for possible outcomes. The service also exposes composite scores, gauge histories, macro indicators, institutional data, derivatives metrics, exchange flows, liquidations, and several Bitcoin cycle indicators.

The toolset includes 26 operations grouped around regime detection, gauges, Odin AI, market data, signals, cycle indicators, probability playbooks, and data health. Examples include signallord_get_regime, signallord_get_composite_score, signallord_get_macro_indicators, signallord_ask_odin, and signallord_get_data_health. Some tools or fields return limited information on the free tier, while premium and pro tiers provide broader data access.

How it works

The server acts as a stateless MCP protocol adapter. An AI client sends MCP tool requests to the local process, which makes HTTP requests to the configured Signal Lord backend. Authentication is passed through the X-SIGNALLORD-API-KEY header. Regime detection, historical matching, rate limiting, data collection, and Odin AI processing are handled by the backend rather than locally.

The default local transport is streamable HTTP, with the server listening on port 8100. Clients can connect through the local MCP endpoint at /mcp, or configure a local command in Claude Desktop. The README also identifies Claude and Cursor as example AI agents in the architecture.

Setup and configuration

To run KK6BZB/signallord-mcp-server MCP server, install the published package globally with npm, and ensure Python 3.10 or newer and pip are available on the system. The package installs its dependencies automatically. The executable is signallord-mcp.

Create an account at Signal Lord and generate an API key. The key is shown only once and should be assigned to SIGNALLORD_API_KEY. SIGNALLORD_API_BASE_URL selects the backend URL; the documented production value is https://signallord.onrender.com, while the server default is http://localhost:8000. MCP_SERVER_PORT controls the local listening port and defaults to 8100.

After starting the process, connect an MCP client to http://localhost:8100/mcp, or use a client configuration that launches signallord-mcp with the required environment variables.

Limitations and notes

KK6BZB/signallord-mcp-server MCP server requires a Signal Lord API key and access to the configured backend. Availability and detail depend on the account tier: the documented free tier includes 10 requests per minute and 500 per day, while premium and pro tiers have higher limits and additional data.

The data-health tool can identify signals that are stale because of upstream data problems. This matters when an agent uses current gauges, market metrics, or derived indicators. The server provides analysis and historical probabilities, not a guarantee of future Bitcoin price movements. The project is licensed under MIT.

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.

GitHub stars
1
Stargazers on the source repository.
npm downloads
74
Package downloads in the last 30 days.
Last commit
3mo ago
Most recent push to the default branch.
Tools exposed
26
Callable tools this server registers over MCP.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Signallord MCP Server

Install the published package with `npm install -g signallord-mcp-server`. Python 3.10 or newer and pip must be available.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFreemium
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 5, 2026
11/11 checks healthy over the last 33d
Views4
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 stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 13, 2026
npm downloads74/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership6/20
Documentation & tools29/30
Adoption & activity3/15
Community engagement1/10

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.

Supply-chain signal

2 high-severity advisories on record for this package. Most advisories affect transitive dependencies and may not be exploitable in this server's actual usage β€” this is a directional signal, not a security audit.

Critical 1High 1Medium 0Low 0

Scanned 17d ago via OSV.dev Β· @modelcontextprotocol/inspector (npm)

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