Signalfuse
Wire crypto market signals, sentiment, macro regime, and search/exec helpers into your coding agent for research-backed trading or fintech prototypes.
Overview
SignalFuse is an MCP server for the Idea phase that delivers pay-per-call crypto signals, sentiment, macro regime, search, and execution tools to coding agents.
What is this MCP server?
- 11 MCP tools covering signals, sentiment, macro regime, arena, search, and execution flows
- x402 pay-per-call billing so you only spend credits when the agent actually invokes a tool
- stdio npm package signalfuse-mcp with SIGNALFUSE_CREDIT_TOKEN secret configuration
- Five free API calls via signalfuse.co to validate fit before buying credits
- GitHub source at hypeprinter007-stack/signalfuse-mcp for audit and version pinning (v1.1.2)
- 11 documented MCP tools
- Server schema version 1.1.2 on npm identifier signalfuse-mcp
- x402 pay-per-call billing model
Community signal: 2 GitHub stars.
What problem does it solve?
Builders stitching together crypto research in the terminal waste time context-switching between charts, sentiment feeds, and bespoke APIs while the agent waits.
Who is it for?
Solo builders prototyping trading bots, on-chain dashboards, or agent-driven market briefs who already use MCP and are comfortable with prepaid API credits.
Skip if: Teams that need guaranteed uptime SLAs, licensed brokerage execution, or fully offline backtests without any paid API usage.
What do I get? / Deliverables
After you add signalfuse-mcp and a credit token, your agent can call eleven structured finance tools on demand without maintaining separate market-data integrations.
- Eleven callable MCP tools for signals, sentiment, regime, arena, search, and exec-oriented queries
- Agent prompts that return structured market context instead of ad-hoc browser summaries
- A metered x402 credit workflow you can scale after the free trial calls
Recommended MCP Servers
Journey fit
Pre-build market intelligence belongs on the Idea shelf when you are still deciding what to trade, build, or automate around on-chain data. Research is where solo builders compare regimes, sentiment, and signal quality before committing capital or product scope.
How it compares
Paid crypto-intelligence MCP integration, not a local SKILL.md workflow or a generic web-scraping skill.
Common Questions / FAQ
Who is SignalFuse for?
It is for indie developers and agent builders who want crypto signals and sentiment inside Claude Code, Cursor, or Codex via MCP instead of manual research tabs.
When should I use SignalFuse?
Use it during idea and research work when you need live macro, sentiment, or signal context while scoping a fintech or trading automation project.
How do I add SignalFuse to my agent?
Install the npm package signalfuse-mcp, set SIGNALFUSE_CREDIT_TOKEN in your MCP server env, register the stdio server in your agent’s MCP config, and restart the client.