mcp-aws-cost-doctor
Read-only AWS cost diagnostic server that enables AI agents to detect idle resources and orphaned assets, surfacing potential savings via boto3 describe calls.
README
mcp-aws-cost-doctor
MCP-native AWS cost diagnostic server. Exposes a small set of read-only tools that an AI agent (Claude, etc) can call to surface common cost leaks in an AWS account: idle EC2, orphaned EBS volumes, unused Elastic IPs, oversized RDS, NAT gateways in dev VPCs.
Read-only by construction. No delete_*, no modify_*, no
terminate_*. The server can scan an account, never change it.
flowchart LR
A[Claude / MCP client] -- tool call --> S[mcp-aws-cost-doctor]
S -- boto3 describe_* --> AWS[AWS account<br/>IAM ReadOnlyAccess]
AWS --> S
S -- ranked findings + est. monthly waste --> A
Tools exposed (implemented)
| Tool | Returns |
|---|---|
list_orphaned_ebs(region) |
Unattached EBS volumes (billed, never mounted) |
list_old_snapshots(region, min_age_days=90) |
EBS snapshots whose source volume was deleted |
list_unused_eips(region) |
Elastic IPs allocated but not associated |
summarize_findings(region) |
Run all implemented scanners + return ranked summary |
Roadmap
Additional scanners planned (PRs welcome):
list_idle_ec2(region)— EC2 with avg CPU < 5% over last 14 days (needs CloudWatch)list_oversized_rds(region)— RDS with avg CPU < 20% + low connectionslist_s3_no_lifecycle()— S3 buckets with no lifecycle policy on standard storagelist_nat_in_dev_vpcs(region)— NAT gateways in VPCs taggedEnv=dev|staging
Why MCP
aws-cost-optimizer-cli (sibling repo) does the same scan as a
standalone CLI. This server wraps the same scanners as MCP tools so
they can be called by an AI agent inside a conversation:
> Can you scan us-east-1 for cost leaks?
[claude calls list_orphaned_ebs(region="us-east-1") + list_unused_eips(region="us-east-1") + ...]
I found 12 cost leaks totaling ~$340/mo:
- 3 unattached EBS volumes (~$180/mo)
- 4 unused Elastic IPs (~$15/mo)
- 1 oversized RDS db.r6g.xlarge with avg CPU 8% (~$140/mo)
...
Quick start
pip install -e .
# Set AWS credentials however you normally do (profile, env, instance role)
export AWS_PROFILE=mycompany-readonly
# Run the MCP server (stdio transport — wire into Claude Desktop config)
python -m mcp_aws_cost_doctor.server
For Claude Desktop, add to your MCP config:
{
"mcpServers": {
"aws-cost-doctor": {
"command": "python",
"args": ["-m", "mcp_aws_cost_doctor.server"],
"env": {"AWS_PROFILE": "mycompany-readonly"}
}
}
}
Safety
- IAM: server is meant to run with
ReadOnlyAccess(or a tighter custom policy — seeiam/policy.json). It does not attempt to write. - Rate limits: each tool batches
describe_*calls and respects AWS API throttling. - No mutation: tools are named
list_*/summarize_*. There is nodelete_*/terminate_*. By design.
Status
Early — basic tools land first, more arrive as the underlying
aws-cost-optimizer-cli matures. PRs welcome.
License
MIT
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