mcpField
A
AWS EC2 Pricing MCP Server

AWS EC2 Pricing MCP Server

Local
github.com/trilogy-groupCloud & Infra21Updated 66w ago

About AWS EC2 Pricing MCP Server

An MCP server that provides AWS EC2 instance pricing data and filters it by specifications such as vCPU, RAM and GPU. It ships as both a traditional server and a serverless Lambda function, aimed at developers and FinOps teams who track cloud costs.

Key features

  1. 01EC2 instance pricing data lookup
  2. 02Filtering by vCPU, RAM, GPU and other specs
  3. 03Filters for region, platform and tenancy
  4. 04On Demand and Reserved Instances pricing models
  5. 05Lambda deployment with a Function URL

Use cases

  1. 01Finding the cheapest EC2 instance for given specifications
  2. 02Querying AWS pricing data from an AI assistant
  3. 03Hosting a shared pricing service on Lambda

MCP support

The server implements the MCP protocol over JSON-RPC 2.0 and exposes EC2 pricing lookups to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"aws-pricing": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ai1st/aws-pricing-mcp"
]
}
}
}
Run commanddocker run -i --rm ai1st/aws-pricing-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ociai1st/aws-pricing-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.