signaldaemon-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SIGNALDAEMON_API_KEY | No | Your SignalDaemon API key (e.g., cns_...). Required for tool calls. Obtain from https://signaldaemon.com/console |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_market_narrativesA | Return top crypto market narratives with strength, momentum, and price divergence signals. Includes a market_snapshot (regime, market_7d, fear_greed) that every divergence reading is relative to. |
| get_clean_feedA | Return a curated, de-noised, source-attributed feed of articles for a query topic. Reports coverage honestly ("thin" rather than padding). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools serve clearly different purposes: one for curated article feeds on a query topic, the other for crypto market narratives with divergence signals. No overlap.
Both tools use consistent snake_case and verb_noun pattern (get_clean_feed, get_market_narratives), maintaining naming uniformity.
With only two tools, the server feels thin for a 'signal daemon' scope, but it may be intentionally focused. The count is borderline acceptable.
The tool set covers only two specific signal types (feed and market narratives) and lacks broader operations like historical analysis or asset-specific signals, leaving significant gaps for a comprehensive signal daemon.