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Vetted Servers(1)

100
7655
Medium Cost
awslabs icon

mcp

by awslabs

Sec8

Provides a comprehensive suite of tools for managing, analyzing, and troubleshooting a wide array of AWS cloud resources, including databases (DocumentDB, Keyspaces), billing and cost management, serverless components (Lambda, SAM), infrastructure as code (CloudFormation, Terraform), container orchestration (ECS), data processing (EMR, Glue, Athena), and various monitoring and security services. It enables AI assistants to interact with and automate cloud operations through a unified Model Context Protocol (MCP) interface.

Setup Requirements

  • ⚠️Python 3.10+ runtime and `uv` package manager are required for installation and local development.
  • ⚠️Requires configuring AWS credentials with appropriate IAM permissions, which can be extensive and fine-grained depending on the specific AWS services being managed.
  • ⚠️Direct network access to specific AWS resources (e.g., DocumentDB cluster, S3 buckets for Storage Lens, Prometheus endpoints) may be necessary.
  • ⚠️Enabling write operations (`--allow-write` flag) significantly elevates operational risks and should only be done with explicit user consent and a clear understanding of potential impacts.
  • ⚠️Some tools (e.g., S3 Storage Lens, Lambda Tool) require prior setup of AWS resources (e.g., S3 manifests, tagged Lambda functions) to function correctly.
Verified SafeView Analysis
The server is designed with a strong emphasis on security, operating in read-only mode by default for many tools and requiring explicit `--allow-write` flags for any mutative operations. SQL query tools include robust injection detection. Resource management operations (e.g., creating/deleting clusters, managing IAM policies, deploying CloudFormation stacks) are powerful and require careful consideration of the IAM permissions granted to the server's execution role. Tools interacting with user-defined code (like Lambda functions via `lambda-tool-mcp-server`) depend heavily on the security of that external code. The use of `subprocess.run` for CLI tools like `sam` could be a vector if not properly controlled, though usage in provided snippets seems limited to trusted CLI operations.
Updated: 2025-12-15GitHub→