{"id":"sceptre-mcp-server","name":"sceptre-mcp-server","af_score":57.2,"security_score":45.2,"reliability_score":23.8,"what_it_does":"Provides a Model Context Protocol (MCP) server that exposes Sceptre CloudFormation management capabilities (stack lifecycle, querying, template rendering/validation, diff & drift, change sets, and project discovery) as MCP tools for AI agents.","best_when":"You want an agent to call well-scoped MCP tools to manage AWS CloudFormation stacks through Sceptre in an environment where AWS credentials/permissions are already controlled.","avoid_when":"You cannot tightly restrict agent permissions (AWS IAM) and MCP tool usage—this tool can drive powerful AWS actions (including deletes and executing change sets).","last_evaluated":"2026-04-04T21:45:21.848893+00:00","has_mcp":true,"has_api":false,"auth_methods":["AWS credential chain via environment variables (e.g., AWS_PROFILE, AWS_DEFAULT_REGION) and standard AWS auth mechanisms"],"has_free_tier":false,"known_gotchas":["Destructive actions are available (delete_stack, delete_change_set, execute_change_set) and may be triggered by the agent unless you enforce approval/guardrails in the MCP client/agent workflow.","Many operations depend on local Sceptre project structure (config/ and templates/ dirs) and correct stack_path values relative to config/.","AWS operations may take time asynchronously; agent/tool workflows must account for eventual consistency and stack transitions (e.g., waiting for completion is not described).","AWS permissions are enforced by IAM; mis-scoped credentials will cause failures that the agent may need to interpret."],"error_quality":0.0}