cloudwright-ai-mcp
mcp-name: io.github.xmpuspus/cloudwright
MCP (Model Context Protocol) server for Cloudwright architecture intelligence.
Exposes Cloudwright's architecture and migration capabilities as MCP tools for use with MCP-compatible clients.
Installation
pip install cloudwright-ai-mcp
Usage
cloudwright mcp
Or add to your MCP client configuration:
{
"mcpServers": {
"cloudwright": {
"command": "cloudwright",
"args": ["mcp"]
}
}
}
Available Tools
- design: Generate cloud architecture from natural language
- cost: Estimate monthly infrastructure costs
- validate: Check compliance against HIPAA, PCI-DSS, SOC 2, FedRAMP, GDPR
- export: Export to Terraform, CloudFormation, Mermaid, D2, C4, SBOM
- compare: Compare architectures across cloud providers
- review_architecture: free, offline scorer + linter + validator critique (no LLM)
- scan_compliance_controls: Map findings to framework control IDs with optional OSCAL 1.1.2 output
- plan_infrastructure: proves exported IaC is deployable (
terraform validate/plan, read-only) - plan_migration: builds dependency-ordered waves, supplied-cost economics, and acceptance gates
- verify_migration: rebuilds migration gates and checks evidence for a visible closure decision
- chat_create_session: Create a persistent multi-turn design session
- chat_send: Send a message to an existing session
- chat_list_sessions: List all saved sessions
- chat_delete_session: Delete a session
Sessions persist to ~/.cloudwright/sessions/ and survive process restarts.
Sessions older than CLOUDWRIGHT_MCP_SESSION_TTL_DAYS (default 7) are swept on
server start and on every chat_list_sessions call.
License
MIT
1 maintainer
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