aws-pricing-mcpThis MCP server gives AI tools direct access to live AWS EC2 pricing. You can search for instances by memory, processor type, region, and billing plans to quickly pick the most affordable cloud option
Overview
Key features
- EC2 Pricing Data
- Multiple Pricing Models
- Flexible Filtering
- JSON-RPC 2.0 Compliance
- Serverless Option
- Dynamic Data from S3
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Cost Optimization
Use aws-pricing-mcp to find the most affordable AWS EC2 instances based on specific requirements such as memory, processor type, and region.
Cloud Resource Planning
Leverage the server to search and compare pricing for different EC2 instances, helping in better cloud resource planning and budgeting.
Pros & Cons
Pros
- Provides direct access to live AWS EC2 pricing data
- Supports multiple pricing models
- Flexible filtering options for finding the cheapest EC2 instances
- Serverless deployment option with Lambda function
Cons
- Requires technical expertise for deployment and usage
- Limited to AWS EC2 pricing data
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Q&A
Is the pricing data kept current, and where does it come from?
Yes, the MCP pulls pricing information directly from an S3 bucket that is regularly updated, ensuring the data you receive reflects the latest AWS EC2 pricing.
Asked by Amara Chukwu · Aug 19, 2025
Which filters can I apply when searching for EC2 instances via the MCP?
You can filter by region, platform, tenancy, vCPU count, RAM, GPU, and other attributes such as processor type, enabling precise queries for the exact specifications you need.
Asked by Kalinda Reddy · Jul 20, 2025
What pricing models does the MCP support for EC2 instances?
The service provides live pricing for On‑Demand, Reserved Instances, and CloudFix RightSpend models, allowing you to compare costs across these options when searching for the cheapest instance.
Asked by Cristina Moreno · Jul 6, 2025
How can I deploy the aws‑pricing‑mcp server and is there a serverless option?
You can run the traditional server by installing dependencies (pip install -r requirements.txt) and executing python src/server.py. A serverless deployment is also available as an AWS Lambda function; you build and deploy it using SAM (sam build && sam deploy) and then call it via the generated Function URL.
Asked by Noelia Campos · May 28, 2025
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