MCP.Market

Gas Fee Predictor MCP server

online · 100% uptime
by higherbeing·io.github.higherbeing/gasfeepredictor-mcp·v1.0.2

Live Ethereum and L2 gas fees: current gas, cheapest L2, forecast, ETH price, cost estimates.

A92/100grade A
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0 stars38 downloads/wk

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Gas Fee Predictor tools

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How Gas Fee Predictor compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 95% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
293 ms
faster than 49% of 30,031 servers
Downloads a week
38
more than 29% of 12,191 servers with a package

Release history: 2 versions in the registry since 2026-07-02, latest 2026-10-12, typically one every 102 days.

Install Gas Fee Predictor in Claude Code, Cursor or VS Code

claude mcp add --transport http gasfeepredictor-mcp https://api.gasfeepredictor.com/api/mcp
Add to Cursor

What the publisher says

From the Gas Fee Predictor repository's README, as published. We do not edit it. Read it on GitHub

Gas Fee Predictor — MCP Server

Live Ethereum + Layer-2 gas-fee data for AI agents, via the Model Context Protocol. Read-only, no API key, no account. Every answer carries a citation back to gasfeepredictor.com.

There are two ways to connect. Prefer the hosted one — there is nothing to install.

1. Hosted endpoint (recommended)

If your client supports remote MCP servers — ChatGPT and Claude connectors, Cursor, VS Code, and most current clients do — paste this URL and you are done:

https://api.gasfeepredictor.com/api/mcp

Streamable HTTP, unauthenticated, no install, no config file, nothing to keep updated. It exposes 7 tools — two more than the npm package (getgasforecast and getgashistory).

Client config, if your client wants JSON rather than a URL box

{
  "mcpServers": {
    "gasfeepredictor": {
      "type": "streamable-http",
      "url": "https://api.gasfeepredictor.com/api/mcp"
    }
  }
}

Verify it yourself:

curl -s -X POST https://api.gasfeepredictor.com/api/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

2. npm package (stdio)

For clients that speak stdio only. Requires Node ≥ 18.

{
  "mcpServers": {
    "gasfeepredictor": {
      "command": "npx",
      "args": ["-y", "gasfeepredictor-mcp"]
    }
  }
}

Claude Desktop keeps that file at ~/Library/Application Support/Claude/claudedesktopconfig.json on macOS. Restart the client, then ask: "What's the Ethereum gas fee right now, and is it cheaper on an L2?"

Tools

Notes

challenged by the CDN's bot protection.

  • Read-only and unauthenticated — it only reads public gas data.
  • Upstream data refreshes every ~30–60s.
  • Served from api.gasfeepredictor.com, not the apex, so automated clients are not
  • MIT licensed.

Changelog

1.1.0 — getcurrentgas and estimatetransactioncost now fall back to /api/eth-price when the dashboard payload returns ethPrice: null (upstream price cooldown). Previously they rendered ETH ≈ $undefined or failed outright while the price endpoint was serving fine.

Nothing above is checked by us. What we check is on the safety report.

Gas Fee Predictor: common questions

Is Gas Fee Predictor MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Gas Fee Predictor safety report
How do I install Gas Fee Predictor?
It runs remotely at api.gasfeepredictor.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Gas Fee Predictor need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Gas Fee Predictor maintained?
The last commit was 44 days ago (2026-09-21). The latest release is v1.0.2.
Is Gas Fee Predictor up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Gas Fee Predictor compare with other MCP servers?
safety score 92/100 (higher than 95% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 293 ms (faster than 49% of 30,031 servers). Full comparison.