Remote MCP server delivering curated narrative and signal intelligence for crypto, AI, and macro domains with fail-safe coverage.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We ran the install command below but it didn't respond within our test window β this can mean a slow first-time install rather than a real problem.
uvx mcpNo response to initialize.
This is an experimental automated check and can have false negatives β missing environment variables, a slow cold install, etc. It doesnβt necessarily mean somethingβs wrong. Last checked 1mo ago.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Signaldaemon.
Narrative & signal intelligence for AI agents β crypto, AI, and macro. A dumb-but-trustworthy pipe: it delivers curated narrative & signal, not raw data, and it fails safe β when it has no coverage it says so, rather than inventing. Built for machines, not human eyes.
https://api.signaldaemon.comPOST /v1/request-key (no signup)This repo is the front door β quickstart, client configs, and the interface contract. The pipeline itself (sources, scoring, curation) is not open source.
| 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 β "no coverage" over hallucination | A database you query for facts |
| For agents (API/MCP), token-cost-agnostic, quality-first | A human-facing dashboard |
Remote MCP over Streamable HTTP, authenticated with the x-api-key header.
More clients (Cursor, Cline) in examples/mcp-configs.md.
Tools: get_market_narratives(limit) Β· get_clean_feed(query, category, limit) Β·
vet_trade(symbol, side) β 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 β it vets,
it does not recommend.
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 β just a client.
Or with Docker:
The bridge starts and answers introspection (tools/list) without a key;
tool calls require one.
Endpoints and response-field contract (incl. the divergence schema) in
API.md. Field names are stable.
Examples and docs in this repo: MIT (see LICENSE). The signaldaemon service and pipeline are proprietary.
Factual signals from GitHub, npm, and our automated checks β not a rating.
No reviews yet β be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/bevanding-signaldaemon)<a href="https://allmcps.com/mcp/bevanding-signaldaemon"><img src="https://allmcps.com/api/badge/bevanding-signaldaemon?style=directory" alt="Signaldaemon on AllMCPs" /></a>