# EIA MCP Server

> EIA MCP Server — asharanims611-mcp-server-eia. Use this tool when you need to access U.S. energy statistics through natural-language queries, enabling easy retrieval of data on electricity, petroleum, and other energy-related information. It solves problems related to data discovery and retrieval by providing a simple interface to the U.S. Energy Information Administration Open Data API v2. The EIA MCP Server takes in natural-language queries as input and outputs relevant energy statistics, making it ideal for use cases that require quick and intuitive data access.

Canonical page: https://skillsregistry.net/skills/asharanims611-mcp-server-eia  
JSON: https://api.skillsregistry.net/v1/skills/asharanims611-mcp-server-eia

## Description

A FastMCP server that wraps the U.S. Energy Information Administration Open Data API v2, enabling natural-language queries for electricity, petroleum, and other energy statistics via tools like discover_eia_route and get_eia_data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qvkhrgt3l1)
- **Repository:** <https://github.com/asharanims611/mcp-server-eia>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "asharanims611-mcp-server-eia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asharanims611-mcp-server-eia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asharanims611-mcp-server-eia/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt