Web3 Signals MCP Server

AI-powered crypto signal intelligence for 20 assets. 5 data dimensions, scored 0-100. The web3 signals mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.

What it actually does

Five independent data agents (whale flows, technicals, derivatives, narrative, market microstructure) each score every asset 0–100. A fusion engine combines them into a single composite signal with a directional label, momentum tracking, and an LLM-generated rationale. The system grades its own predictions at 24h and 48h horizons against actual price moves — no self-reported accuracy.

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration

You will need 2 environment variables: REDDIT_CLIENT_ID, ANTHROPIC_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Caveats

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the web3 signals mcp mcp server does with a few real requests.

When to reach for it

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by manavaga; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Web3 Signals MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.