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Narrative & signal intelligence for AI agents: crypto/AI/macro convergence & divergence.
About
Narrative & signal intelligence for AI agents: crypto/AI/macro convergence & divergence.
Remote endpoints: streamable-http: https://api.signaldaemon.com/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-bevanding-signaldaemon": {
"url": "https://api.signaldaemon.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
signaldaemon
Narrative & signal intelligence for AI agents — crypto, AI, and macro. A dumb-but-trustworthy pipe: it delivers curated narrative & signal, not raw data, and it fails safe — when it has no coverage it says so, rather than inventing. Built for machines, not human eyes.
- API + MCP:
https://api.signaldaemon.com - Docs: https://signaldaemon.com/api
- Self-serve key:
POST /v1/request-key(no signup)
This repo is the front door — quickstart, client configs, and the interface contract. The pipeline itself (sources, scoring, curation) is not open source.
What it is (and isn't)
| It is | It is not |
|---|---|
| Cross-source narrative convergence + capital-vs-narrative divergence | A price/market-data API (use CoinGecko etc. for that) |
| Coverage across ~14 crypto/AI/macro domains | A raw news firehose |
| Fails safe — "no coverage" over hallucination | A database you query for facts |
| For agents (API/MCP), token-cost-agnostic, quality-first | A human-facing dashboard |
Quickstart
# 1 · self-serve a demo key (no signup)
KEY=$(curl -s -X POST https://api.signaldaemon.com/v1/request-key | jq -r .key)
# 2 · the day's ranked narratives + derived signals (cached, instant)
curl -s https://api.signaldaemon.com/v1/narratives \
-H "x-api-key: $KEY" -d '{"limit":8}'
# 3 · clean narrative feed for a topic
curl -s https://api.signaldaemon.com/v1/feed \
-H "x-api-key: $KEY" -d '{"query":"restaking","limit":8}'
Connect from your agent (MCP)
Remote MCP over Streamable HTTP, authenticated with the x-api-key header.
# Claude Code
claude mcp add --transport http signaldaemon \
https://api.signaldaemon.com/mcp --header "x-api-key: <KEY>"
# Hermes Agent — ~/.hermes/config.yaml
mcp_servers:
signaldaemon:
url: "https://api.signaldaemon.com/mcp"
headers: { x-api-key: "<KEY>" }
More clients (Cursor, Cline) in examples/mcp-configs.md.
Tools: get_market_narratives(limit) · get_clean_feed(query, category, limit) ·
vet_trade(symbol, side) — all annotated readOnlyHint. vet_trade is the
pre-trade gate: hand it a candidate trade and it returns a narrative-layer stance
(support/caution/contradict/no_signal) with reason + confidence — it vets,
it does not recommend.
Local stdio bridge
For clients that don't support remote MCP, this repo ships a thin stdio
bridge (mcp_server.py) exposing the same three tools over
the hosted API. It holds no methodology — just a client.
pip install mcp
export SIGNALDAEMON_API_KEY=cns_... # https://signaldaemon.com/console
python mcp_server.py
Or with Docker:
docker build -t signaldaemon-mcp . && \
docker run -i -e SIGNALDAEMON_API_KEY=cns_... signaldaemon-mcp
The bridge starts and answers introspection (tools/list) without a key;
tool calls require one.
Interface
Endpoints and response-field contract (incl. the divergence schema) in
API.md. Field names are stable.
License
Examples and docs in this repo: MIT (see LICENSE). The signaldaemon service and pipeline are proprietary.
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