MCP Servers

SignalFuse MCP Server

Enables AI agents to access SignalFuse trading intelligence, providing fused directional signals, macro regime analysis, and social sentiment data for financial assets.

Category

README

signalfuse-mcp

MCP server for SignalFuse — trading intelligence API.

Adds four tools to any MCP-compatible AI agent:

get_signal — fused directional signal: sentiment + macro + market structure
get_regime — current risk-on / risk-off macro regime
get_sentiment — raw social sentiment breakdown
get_signal_batch — all assets in one call

Install

npm install -g signalfuse-mcp

Claude Desktop Setup

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "signalfuse": {
      "command": "signalfuse-mcp"
    }
  }
}

Restart Claude Desktop. Ask Claude: "What's the signal for BTC?" — it will call SignalFuse automatically.

Claude Code Setup

Add to your project's .mcp.json:

{
  "signalfuse": {
    "command": "signalfuse-mcp"
  }
}

Authentication

Free trial: 25 free calls, no signup:

curl -X POST https://api.signalfuse.co/v1/credits/trial \
  -H "Content-Type: application/json" \
  -d '{"wallet":"YOUR_ETH_ADDRESS"}'

Then pass the returned credit_token in tool calls.

Bulk credits: Buy starter (500 calls) or pro (5000 calls) packs.

Note: This MCP server uses credit tokens for authentication. For x402 per-call payment (automatic USDC on Base), use the SignalFuse Python client which has full x402 SDK integration.

Full docs at https://signalfuse.co

Disclaimer

SignalFuse provides a data fusion API, not financial advice. Signals are mathematical composites that can be wrong. Trade at your own risk.

License

MIT

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B

Using MCP to run code via e2b.

Neon Database

MCP server for interacting with Neon Management API and databases

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.