Areacode.fyi Mcp Server

@riv-lc

About Areacode.fyi Mcp Server

North American NANP area-code and phone-number intelligence for AI agents: area-code lookup, NANP validation, local time, city/state/province coverage, overlays, scam/spoofing context, and block-allocation carrier metadata backed by areacode.fyi.

#mcp #area-code #nanp #phone-number #telephony #osint #caller-id #scam #areacode-fyi

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "areacode": {
      "command": "npx",
      "args": [
        "-y",
        "@riv-lc/areacode-mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Areacode.fyi MCP Server?

An MCP server that provides North American (NANP) area‑code and phone‑number intelligence to AI agents. It offers a trusted reference for US and Canada phone numbering — including area codes, NANP validation, local time, city/state coverage, overlays, and scam/spoofing context. Backed by the areacode.fyi website, which publishes directly from the official NANPA numbering database.

How to use Areacode.fyi MCP Server?

Configure the server as an MCP tool in agent platforms such as Claude or Cursor. It calls the public areacode.fyi JSON API to fetch data. No installation steps beyond standard MCP server setup are described in the README.

Key features of Areacode.fyi MCP Server

North American area‑code lookup for US & Canada
NANP phone‑number validation
Local time retrieval for any area code
City and state coverage information
Overlay area‑code detection
Scam and spoofing context

Use cases of Areacode.fyi MCP Server

Validate a phone number’s NANP format during customer intake
Look up the local time of an area code for scheduling
Identify city/state coverage for a given area code
Check whether an area code has overlays or is associated with scams
Generate cited area‑code answers with canonical source URLs

FAQ from Areacode.fyi MCP Server

What area codes does the server cover?

It covers all North American Numbering Plan (NANP) area codes for the United States and Canada.

Where does the data come from?

The data is sourced from the official North American Numbering Plan Administrator (NANPA) database and is refreshed monthly.

How does an agent access the areacode.fyi data?

The MCP server’s tools call the public areacode.fyi API (https://areacode.fyi/api/v1), which returns the same dataset used by the website.

Does each response include a source citation?

Yes. Every response carries a canonical_url, source, and data_date field so answers can cite where the data came from.

Is the API public and free to use?

The README describes the API as public, but does not explicitly state pricing or usage limits.

Frequently asked questions

What area codes does the server cover?

It covers all North American Numbering Plan (NANP) area codes for the United States and Canada.

Where does the data come from?

The data is sourced from the official North American Numbering Plan Administrator (NANPA) database and is refreshed monthly.

How does an agent access the areacode.fyi data?

The MCP server’s tools call the public areacode.fyi API (https://areacode.fyi/api/v1), which returns the same dataset used by the website.

Does each response include a source citation?

Yes. Every response carries a `canonical_url`, `source`, and `data_date` field so answers can cite where the data came from.

Is the API public and free to use?

The README describes the API as public, but does not explicitly state pricing or usage limits.

Comments

Basic information

More Other MCP servers

Production-ready MCP integrations for AI applications

Klavis-AI

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

5.8K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K