MCP server for SignalFuse — AI trading intelligence with 11 tools: real-time signals, market sentiment, macro regime, live strategy arena, web search
Signalfuse MCP MCP server exists for a simple reason — assistants are far more useful when they can act on Signalfuse MCP directly instead of describing what you should do. MCP server for SignalFuse — AI trading intelligence with 11 tools: real-time signals, market sentiment, macro regime, live strategy arena, web search (Brave/Tavily), sandboxed code execution (E2B). Pay-per-call via x402 micropayments.
MCP server and REST API for crypto trading signals, sentiment analysis, macro regime classification, strategy arena, web search, and sandboxed code execution. Designed for AI agents, LLMs, and autonomous trading systems.
Once Signalfuse MCP is connected, these are the calls the assistant has available:
get_signal — Fused directional signal for a crypto asset (direction, strength, confidence, regime, entry/TP/SL)get_signal_batch — Signals for all supported assets in one callget_sentiment — ModernFinBERT sentiment analysis (score, label)get_regime — Macro regime classification (risk_on, risk_off, neutral)get_arena_leaderboard — Strategy Arena rankings with win rate, P&L, income (free)get_arena_signal — Signal from a specific arena strategy for a given assetsearch_brave — Web search via Brave Searchsearch_tavily — AI-powered web search via Tavilyexecute_code — Sandboxed Python/JavaScript execution via E2Bget_pricing — Pricing information (free)check_balance — Credit balance check (free)ElizaOS — See elizaos_plugin.ts in this repository for the full pluginThe server ships on npm as signalfuse-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the search and retrieval group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Signalfuse MCP's toolset — get_signal, get_signal_batch, get_sentiment and 9 more — is a fair guide to whether it matches your workflow. It is maintained by hypeprinter007-stack; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Signalfuse MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| get_signal | Fused directional signal for a crypto asset (direction, strength, confidence, regime, entry/TP/SL) |
| get_signal_batch | Signals for all supported assets in one call |
| get_sentiment | ModernFinBERT sentiment analysis (score, label) |
| get_regime | Macro regime classification (risk_on, risk_off, neutral) |
| get_arena_leaderboard | Strategy Arena rankings with win rate, P&L, income (free) |
| get_arena_signal | Signal from a specific arena strategy for a given asset |
| search_brave | Web search via Brave Search |
| search_tavily | AI-powered web search via Tavily |
| execute_code | Sandboxed Python/JavaScript execution via E2B |
| get_pricing | Pricing information (free) |
| check_balance | Credit balance check (free) |
| ElizaOS | See elizaos_plugin.ts in this repository for the full plugin. |
{
"mcpServers": {
"signalfuse": {
"command": "npx",
"args": ["-y", "signalfuse-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.