bevanding/signaldaemon
by Various
Narrative & signal intelligence MCP server for AI agents (crypto/AI/macro). Remote MCP at api.signaldaemon.com/mcp.
MCP
bevanding/signaldaemon
Added 23 June 2026
Overview
A Model Context Protocol (MCP) server that provides AI agents with narrative and signal intelligence data focused on crypto, AI, and macro trends. It exposes a remote MCP endpoint at api.signaldaemon.com/mcp for agent integration.
Best for
Best for
Developers building AI agents that need curated signal and narrative intelligence in crypto and macro markets
Use cases
- Feeding AI agents with real-time narrative and signal data for trading analysis
- Enabling agent-driven macro trend monitoring across crypto and AI sectors
- Integrating signal intelligence into automated decision-making pipelines
Notes
A Model Context Protocol (MCP) server that provides AI agents with narrative and signal intelligence data focused on crypto, AI, and macro trends. It exposes a remote MCP endpoint at api.signaldaemon.com/mcp for agent integration.
0 stars on GitHub. Last updated 2026-06-18. Licensed MIT.
Use cases
- Feeding AI agents with real-time narrative and signal data for trading analysis
- Enabling agent-driven macro trend monitoring across crypto and AI sectors
- Integrating signal intelligence into automated decision-making pipelines
Pros
- Remote MCP endpoint reduces local setup overhead for agents
- Specialized data focus on high-interest domains like crypto and AI
- Python-based implementation aligns with common agent toolchains
Cons
- Zero stars and no community traction suggests limited reliability
- No local deployment option may increase latency or dependency on external service
- Narrow domain scope limits general-purpose agent use cases
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Remote MCP endpoint reduces local setup overhead for agents
- Specialized data focus on high-interest domains like crypto and AI
- Python-based implementation aligns with common agent toolchains
Cons
- Zero stars and no community traction suggests limited reliability
- No local deployment option may increase latency or dependency on external service
- Narrow domain scope limits general-purpose agent use cases
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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