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cloudcostwise

PyPI Downloads Python 3.11+ MCP server AWS access: read-only Telemetry: none License: FSL-1.1-ALv2

Find AWS waste from your terminal or your AI assistant. cloudcostwise runs CloudWise's free waste checks on your own machine, with your own read-only AWS credentials.

  • Nothing is sent to CloudWise. The only network calls are AWS API calls in your account. No signup, no IAM role for a third party, no telemetry. Used through an AI assistant (MCP), the findings go to that assistant like any tool output.

  • It cannot change anything. Every AWS call goes through a guard that refuses any operation that isn't a Describe, List, Get, Search or Lookup, whatever your credentials allow.

  • 20 of CloudWise's 46 service checks: EC2, Lambda, SageMaker, WorkSpaces, Lightsail, EBS, S3, EFS, ECR, RDS, DynamoDB, ElastiCache, Elastic IPs, NAT gateways and load balancers, VPC endpoints, dangling DNS records, CloudWatch logs and dashboards, security posture, RI/Savings Plans opportunities, and Compute Optimizer.

cloudcostwise scanning our test account: findings ranked by monthly cost

Install and run

pipx install cloudcostwise          # or: uvx cloudcostwise scan
cloudcostwise scan                      # us-east-1 plus your profile's region
cloudcostwise scan --profile prod --regions all
cloudcostwise scan --format json > waste.json

Options:

Option

Meaning

--profile NAME

AWS profile; otherwise the standard credential chain (env vars, SSO, instance role)

--regions LIST

Comma-separated regions, or all for every enabled region. Account-level checks (Cost Explorer, Route 53) run once, in us-east-1

--format table|markdown|json

Output format

--no-cost-explorer

Make no Cost Explorer call. AWS bills those at $0.01 per request and a scan makes about 13. Skips the RI/Savings Plans checks; extended-support surcharges fall back to estimates

--parallel N

Regions scanned at once, each in its own process (default 4; --regions all takes ~2–3 min instead of ~10)

--verbose

Show data warnings (checks that could not read a metric report it as missing, never as zero)

Related MCP server: AWS FinOps MCP Server

What AWS's free tools don't flag

This tool has 46 proven checks (L2 or above in VALIDATION.md: each fired on a real AWS resource built to trigger it and stayed silent on a healthy twin). 18 of them flag waste that none of AWS's own tools flag, and 9 more go further than the closest AWS check, going by AWS's lists of what its tools cover (Trusted Advisor, Cost Optimization Hub, Compute Optimizer; checked 2026-10-11).

Check

What it finds

Closest AWS check

ami_orphaned_snapshot

EBS snapshots left behind by an AMI that was deregistered

None

classic_lb_migration

Classic Load Balancers that would cost less as an ALB or NLB

None

elasticache_data_tiering_opportunity

Redis OSS or Valkey replication groups on r6g/r7g nodes that would cost less on data-tiering r6gd nodes

None

elasticache_engine_migration

Redis OSS or Memcached clusters that would cost about 20% less on Valkey

None

elasticache_extended_support_cost

ElastiCache engine versions billed the Extended Support surcharge

None

idle_lightsail

Stopped or idle Lightsail instances that still bill their bundle price

None

lambda_arm64_migration

Lambda functions that would cost about 20% less on arm64 (Graviton)

None

lambda_provisioned_concurrency_idle

Lambda provisioned concurrency that is paid for and barely used

None

lightsail_idle_load_balancer

Idle Lightsail load balancers

None

lightsail_unattached_disk

Lightsail disks attached to nothing

None

lightsail_unattached_static_ip

Lightsail static IPs attached to nothing

None

low_traffic_alb

Application Load Balancers carrying almost no traffic

None

multiple_eips_per_instance

Extra Elastic IPs on one instance, each billed as a public IPv4 address

None

no_lifecycle_efs

Large EFS file systems with no Infrequent Access or Archive tiering

None

orphaned_ebs_snapshot

EBS snapshots whose source volume no longer exists

None

previous_gen_sagemaker_instance

SageMaker instances on a previous generation with a cheaper current one

None

s3_empty_bucket

Empty S3 buckets left behind for 30+ days

None

stopped_sagemaker_notebook_storage

Stopped SageMaker notebook instances whose ML storage volume keeps billing

None

excessive_retention_log_group

Log groups keeping a year or more of data they are billed to store

Amazon CloudWatch Log Group Retention Period: Trusted Advisor checks log group retention but flags retention shorter than a minimum (365 days by default) for compliance, so long, costly retention passes it.

idle_efs

EFS file systems with no mount targets: nothing can read them, and they still bill

Amazon EFS no mount target redundancy: Trusted Advisor checks EFS mount targets for multi-AZ redundancy, not file systems with no mount targets at all, and EFS is not among the resources Compute Optimizer or Cost Optimization Hub cover.

idle_load_balancer

Idle Application and Network Load Balancers

Idle Load Balancers: Trusted Advisor flags idle Classic Load Balancers only (Business Support+ or higher); its documentation says Application and Network Load Balancers are not included.

incomplete_multipart

Incomplete S3 multipart uploads whose stored parts keep billing

Amazon S3 Incomplete Multipart Upload Abort Configuration: Trusted Advisor flags buckets whose lifecycle configuration lacks a rule to abort incomplete multipart uploads after 7 days; it does not find the incomplete uploads that are already stored and billing.

lambda_excessive_timeout

Lambda timeouts set far above what the function needs

AWS Lambda functions with excessive timeouts: Trusted Advisor flags functions where more than 10% of invocations time out; it does not flag a configured timeout set far above the function's real duration.

no_retention_log_group

Log groups set to never expire, so they grow every month

Amazon CloudWatch Log Group Retention Period: Trusted Advisor checks log group retention but flags retention below a minimum, so a log group set to never expire passes it.

old_ecr_images

Old ECR images still billed for storage

Amazon ECR Repository without lifecycle policy configured: Trusted Advisor checks that an ECR repository has a lifecycle policy; it does not flag the old images already stored.

oversized_sagemaker_endpoint

SageMaker endpoints serving traffic on bigger instances than they need

Idle recommendation for SageMaker endpoints: Compute Optimizer flags SageMaker endpoints with zero invocations over 14 days but gives no rightsizing for endpoints that serve traffic on oversized instances.

untagged_ecr_images

Untagged ECR images still billed for storage

Amazon ECR Repository without lifecycle policy configured: Trusted Advisor checks that an ECR repository has a lifecycle policy; it does not flag the untagged images already stored.

For idle EC2, RDS and NAT gateways, rightsizing and Savings Plans, AWS's tools cover the same ground: use them too. Trusted Advisor's cost checks need a Business, Enterprise or Unified Operations support plan; Cost Optimization Hub and Compute Optimizer are free.

The hosted CloudWise product adds 19 more proven checks that none of AWS's tools flag, across AWS Backup, AppSync, Elastic Beanstalk, FSx, Glue, KMS, Step Functions.

A few of them on our test account, where the resources are deliberately tiny (which is why the amounts are cents). Excerpt of a scan (0.1.3, us-east-1):

old_ecr_images  x1  $0.06/mo
    us-east-1       cwfx-old-ecr-images                         $0.06/mo
untagged_ecr_images  x1  $0.02/mo
    us-east-1       cwfx-untagged-ecr-images                    $0.02/mo
idle_efs  x1  $0.01/mo
    us-east-1       fs-090bfb32bd49de8b7                        $0.01/mo
no_retention_log_group  x1  $0.01/mo
    us-east-1       /aws/lambda/cwfx-clo464-docdb-connect       $0.01/mo

Use it from Claude Code, Codex or any MCP client

cloudcostwise mcp runs the same scan as an MCP server (stdio). Then ask your assistant: "Where am I wasting money on AWS?"

The plugin and registry entries start the server with uvx, so install uv first (brew install uv or pipx install uv).

Claude Code, as a plugin (asks for your AWS profile):

/plugin marketplace add cloudwise-app/cloudcostwise
/plugin install cloudcostwise@cloudcostwise

Claude Code, as a plain MCP server:

claude mcp add cloudcostwise -- uvx cloudcostwise mcp
# a specific profile:
claude mcp add cloudcostwise -e AWS_PROFILE=prod -- uvx cloudcostwise mcp

Codex (~/.codex/config.toml):

[mcp_servers.cloudcostwise]
command = "uvx"
args = ["cloudcostwise", "mcp"]
env = { AWS_PROFILE = "prod" }

Tools, all read-only: scan, list_findings, explain_finding, fix_guidance. fix_guidance returns the steps and AWS CLI command as text for you to review; nothing is ever executed. The assistant is told about the Cost Explorer cost before it scans, and include_cost_explorer=false skips it.

Permissions

ReadOnlyAccess (AWS managed) is enough. The minimal policy the checks use is in docs/iam-policy.json. It was derived from a scan of an account with most supported resource types; if a check lacks a permission, the scan says so in its data warnings instead of failing.

How the numbers are counted

Each finding shows an estimated monthly saving. Advisory waste types, ones CloudWise could not validate against a real AWS resource, are listed but never added to the total.

What the hosted product adds

The other 26 service checks (Glue, ECS, Step Functions, Backup, CloudFront, commitments and more), history and trends, alerts, and safe automated fixes: https://cloudcostwise.io/connect?utm_source=cloudcostwise&utm_medium=cli.

Tell us where it's wrong

A false positive, a miss, or a dollar figure that looks off: post it in issue #1, or email cloudwise@cloudcostwise.io if you'd rather not post in public. The waste types and counts from your scan are enough. Leave out account IDs and resource names. Every report gets a reply, and a confirmed false positive gets fixed in the next release.

License

FSL-1.1-ALv2. Each release becomes Apache-2.0 two years after it ships.

How we know it's right

See VALIDATION.md: the validation level of every waste type this tool reports, from L0 (unit-tested) to L2 (fired on a real AWS resource and stayed silent on a healthy twin) and beyond.

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