Skip to content
Cloud InfrastructureAuto-generatedScore: 46

AWS WAF MCP Server

AWS WAF (Web Application Firewall) is a critical cloud security service provided by Amazon Web Services that enables developers to protect web applications and APIs from common web exploits and malicious traffic that could affect availability, compromise security, or consume excessive resources.

Quick Start Summary

The AWS WAF MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS WAF API through natural language. It exposes 10 API endpoints as callable tools, such as CreateByteMatchSet, CreateGeoMatchSet, CreateIPSet, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-waf. This integration is sourced from the auto AWS WAF OpenAPI specification (v2015-08-24) and has a quality score of 46/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
46/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2015-08-24
Install Command
npx -y @mcp/amazonaws-com-waf

Environment Variables

AWS_WAF_API_KEY

Example: your_aws_waf_api_key

Top Endpoints

POST
/#X-Amz-Target=AWSWAF_20150824.CreateByteMatchSet

CreateByteMatchSet

POST
/#X-Amz-Target=AWSWAF_20150824.CreateGeoMatchSet

CreateGeoMatchSet

POST
/#X-Amz-Target=AWSWAF_20150824.CreateIPSet

CreateIPSet

POST
/#X-Amz-Target=AWSWAF_20150824.CreateRateBasedRule

CreateRateBasedRule

POST
/#X-Amz-Target=AWSWAF_20150824.CreateRegexMatchSet

CreateRegexMatchSet

Own this API?

Verify ownership of this listing to control the description, configuration details, and documentation links. Choose between free manual verification or instant premium placement.

Option 1: Free Verification

Slow manual review. Requires creating a GitHub issue with verified documentation or domain verification.

  • • Verified badge on page
  • • Standard search sorting
  • • 2-3 business days review
Start Free Claim →
Instant & Boosted

Option 2: Featured Upgrade($9/mo)

Instant verification plus premium styling, featured badges, and directory placement boost.

  • • ★ Featured star & amber highlight border
  • • Top of directory search placement
  • • Instant activation via claim token

📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
AWS WAF (Web Application Firewall) is a critical cloud security service provided by Amazon Web Services that enables developers to protect web applications and APIs from common web exploits and malicious traffic that could affect availability, compromise security, or consume excessive resources. As a managed service, it operates at the application layer (Layer 7) and integrates seamlessly with other AWS services such as Amazon CloudFront, Application Load Balancer, Amazon API Gateway, and AWS AppSync. The service's core capabilities involve creating and managing rules to filter and monitor HTTP/HTTPS requests. Developers can define custom rules using a combination of IP addresses, HTTP headers, HTTP body, URI strings, SQL injection patterns, and cross-site scripting patterns. Typical enterprise use cases include shielding a company's customer-facing e-commerce site from DDoS attacks and SQL injection, preventing credential stuffing by limiting request rates, and enforcing geo-restriction policies to comply with regional content licensing requirements. It serves as a frontline defense for any internet-facing workload hosted on AWS.
🤖AI Agent Value
When exposed as a set of tools via the Model Context Protocol (MCP) to an AI coding assistant, the AWS WAF API unlocks a powerful paradigm for automated security policy engineering and cloud infrastructure management. An AI agent, such as those running in Claude Desktop or Cursor, gains the ability to programmatically understand and interact with the security posture of a web application stack. Instead of the developer manually writing JSON policy documents or navigating the console, they can issue natural language instructions to the AI. The AI can then use the MCP tools to query the current state of WAF rules, propose and implement new configurations, and even perform audits. For instance, a developer could ask, "Analyze our current WAF rules and suggest improvements to defend against the latest OWASP Top 10 threats," and the AI could use the API to inspect existing rule groups, identify gaps, and draft new rules for review or automatic deployment.
💬Example Workflows
Practical workflow examples highlight the transformative potential of this integration. A developer could instruct the AI agent: "Create a new IP set named 'Blocklist-2024-Q4' and populate it with the IP addresses from this threat intelligence feed." The AI would invoke the CreateIPSet action, then potentially use subsequent actions to manage its contents. Another dynamic task could be: "For our new staging environment API, implement a rate-based rule that limits any single IP to 500 requests per 5-minute period, and create a geo-match set to block traffic from outside our approved development countries." The AI agent would orchestrate a sequence of API calls—CreateRateBasedRule, CreateGeoMatchSet, and then likely a CreateWebACL or PutWebACL—to assemble a complete, context-aware security configuration. Furthermore, an AI could be tasked with "Generating a full set of WAF rules based on the OpenAPI specification for this microservice," translating endpoint descriptions into precise size constraints, SQL injection match sets, and byte pattern matches.
🛡️Security & Auth
Critical security and configuration guidelines must be emphasized for any developer implementing this setup. The authentication requirement for AWS WAF is not "None"; it mandates robust AWS Identity and Access Management (IAM) credentials. The MCP server tool must be configured with an IAM principal (user or role) possessing explicit, minimal permissions necessary for its intended tasks—a strict adherence to the principle of least privilege. A developer should create a dedicated IAM policy with only the specific WAF actions required (e.g., "waf:CreateRule", "waf:GetWebACL") and no broader, unnecessary permissions like "waf:*". Furthermore, IAM credentials for the MCP server should never be embedded in code or configuration files; instead, they should be managed via secure methods like environment variables injected at runtime or a secrets manager like AWS Secrets Manager. When using the AI agent, developers should always treat generated configurations as proposals for human review before production deployment to prevent unintended security rule modifications that could break application functionality.

Similar APIs

Other APIs in the Cloud Infrastructure category.

Related MCP Server Integrations

Supabase API MCP Setup

Manage Supabase projects, databases, authentication, and storage through your AI agent.

Cloud InfrastructureConfigure →

Cloudflare API MCP Setup

Manage Cloudflare DNS, CDN, Workers, and security settings through your AI agent.

Cloud InfrastructureConfigure →

Vercel API MCP Setup

Deploy projects, manage domains, and monitor deployments through your AI agent.

Cloud InfrastructureConfigure →

DigitalOcean API MCP Setup

The DigitalOcean API is a comprehensive, RESTful interface provided by DigitalOcean, a leading cloud infrastructure provider focused on simplifying cloud computing for developers, startups, and enterprises. It serves as the programmatic backbone for managing the entire DigitalOcean ecosystem, enabling users to provision, configure, and control cloud resources such as Droplets (virtual private servers), Kubernetes clusters, managed databases, networks, storage volumes, and application platforms. Core capabilities include full lifecycle management of these resources, from creation and scaling to monitoring and deletion, mirroring the functionality available in the DigitalOcean control panel. Its primary use cases range from automating infrastructure setup for CI/CD pipelines and enabling infrastructure-as-code practices to supporting dynamic application scaling and resource optimization for SaaS products, e-commerce sites, and development environments. The API is designed for both developers seeking to automate their cloud operations and businesses that require programmable, scalable cloud infrastructure without the complexity of larger hyperscale providers.

Cloud InfrastructureConfigure →

Access Analyzer MCP Setup

The AWS Identity and Access Management Access Analyzer API provides a powerful, policy-as-code service that automatically identifies resources accessible from outside your AWS account or organization. At its core, the service continuously evaluates resource-based policies—such as Amazon S3 bucket policies, AWS Identity and Access Management (IAM) roles, Amazon KMS key policies, and AWS Lambda function policies—using logic-based reasoning to determine which resources grant access to unknown external principals. Its primary use case is for security and compliance teams within enterprises to proactively detect unintended data exposure, enforce least privilege principles, and audit cross-account and cross-service access. The API endpoints allow programmatic control to create, configure, and query analyzers, manage archive rules for storing findings, and generate custom policy documents, making it a foundational tool for automating cloud security posture management at scale.

Cloud InfrastructureConfigure →