"AWS Lambda" matching MCP servers:

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

Enables comprehensive analysis of AWS Lambda performance including cold start tracking, memory utilization monitoring, cost analysis, and optimization recommendations. Provides real-time metrics, comparative analysis across multiple functions, and actionable insights to improve Lambda performance and reduce costs.

A Model Context Protocol (MCP) server that bridges MCP clients with AWS Lambda functions, enabling AI models to invoke Lambda functions as tools without code changes.

Runs on Cloudflare Workers to let MCP clients execute AWS API commands with your own credentials via SigV4-signed HTTPS requests. Supports common S3, EC2, IAM, Lambda, and STS operations plus a generic escape-hatch for any AWS API call.

A Node.js package providing Model Context Protocol server infrastructure for AWS Lambda functions with streaming response capabilities through Server-Sent Events.

Enables MCP clients to interact with any OpenAPI-defined REST API through a serverless AWS Lambda deployment. Supports multiple authentication methods and provides cost-effective, scalable access to third-party APIs through natural language.

Enables secure tool discovery and execution on AWS Lambda with role-based access control, command injection defense, and sensitive data redaction, allowing managed CloudWatch log queries and Terraform operations through a standard MCP interface.

Enables interaction with AWS services (EC2, S3, Lambda, DynamoDB, etc.) through the Model Context Protocol, allowing natural language management of cloud resources.

Enables searching and reading AWS knowledge from sources the official AWS Knowledge MCP Server does not index, including re:Post community Q&A, kiro.dev documentation, and AWS Builder Center posts.

An MCP server for accessing real-time AWS pricing information and providing cost analysis capabilities, with no AWS credentials required.

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Enables access to AWS documentation through natural language by fetching and converting documentation pages to markdown, searching AWS docs, and getting content recommendations for AWS service documentation.

Enables MCP clients to connect to AWS S3 buckets, list, upload, and read objects in various formats, supporting public and private buckets with multiple transport modes.

Orchestrates multiple AWS security services to provide comprehensive security assessments, threat analysis, and multi-framework compliance monitoring. It enables users to perform automated remediation recommendations and incident investigations through a unified Model Context Protocol interface.

Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.

Enables AI assistants to read-only inspect AWS IoT Core fleets, including things, device shadows, topic rules, certificates, fleet health, connectivity, and indexing configuration, without any write path.

Enables MCP clients to query AWS Billing and Cost Management data via local AWS CLI, including cost usage, forecasts, anomalies, budgets, and commitment utilization for analysis.

Enables AI agents to assess AWS environments against the AWS Security Reference Architecture (SRA) by providing tools to discover, describe, and run security checks across AWS services and accounts.

Enables conversion of Nginx Ingress resources to AWS Gateway API (ALB/NLB) YAML through a conversational interface, with validation and migration reporting.