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KK6BZB/signallord-mcp-server

by Various

MCP server for Signal Lord. Bitcoin regime detection intelligence for AI agents. Know which market regime you are in and the probabilities of what happens next.

K

MCP

KK6BZB/signallord-mcp-server

Added 15 June 2026

#ai #bitcoin #claude #crypto #market-intelligence #mcp #mcp-server #model-context-protocol

Overview

An MCP server that provides Bitcoin regime detection intelligence. It enables AI agents to identify the current market regime and the probabilities of subsequent movements using Python.

Best for

Best for
Developers building AI agents that require Bitcoin market regime awareness.

Use cases

  • Integrate real-time Bitcoin market regime analysis into AI trading agents.
  • Detect current Bitcoin market conditions for automated trading strategies.
  • Feed probabilistic regime predictions into decision-making pipelines.

Notes

An MCP server that provides Bitcoin regime detection intelligence. It enables AI agents to identify the current market regime and the probabilities of subsequent movements using Python.

0 stars on GitHub. Last updated 2026-06-13. Licensed MIT.

Use cases

  • Integrate real-time Bitcoin market regime analysis into AI trading agents.
  • Detect current Bitcoin market conditions for automated trading strategies.
  • Feed probabilistic regime predictions into decision-making pipelines.

Pros

  • Python-based MCP server integrates easily with existing AI agent frameworks.
  • Provides specific regime probabilities rather than vague signals.
  • Open source with permissive licensing.

Cons

  • 0 stars and limited community adoption may indicate early development stage.
  • Regime detection accuracy and reliability are unverified.
  • No clear documentation or usage examples provided.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Python-based MCP server integrates easily with existing AI agent frameworks.
  • Provides specific regime probabilities rather than vague signals.
  • Open source with permissive licensing.

Cons

  • 0 stars and limited community adoption may indicate early development stage.
  • Regime detection accuracy and reliability are unverified.
  • No clear documentation or usage examples provided.