"AWS Secrets Manager" matching MCP servers:

A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.

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

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.

MCP server that exposes AWS Health API as tools for checking service health, events, and scheduled maintenance at account or organization level.

MCP server for interacting with Keyshade's secrets management platform, enabling secure retrieval and management of secrets via natural language.

Enables analyzing AWS cloud spending and Bedrock usage through natural language queries using Claude.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

MCP server that migrates Amazon Quick Suite resources (Spaces, Chat Agents, Action Connectors, and S3 Knowledge Bases) between AWS accounts, preserving permissions and linkages, with idempotency and preview dry-run support.

Provides AI coding agents with direct access to secrets management (get, set, list, delete secrets, and list environments) through the Model Context Protocol, enabling secure secret operations during development.

Automates the AWS Foundational Technical Review (FTR) partner self-assessment by evaluating SOC 2 and WAFR reports against defined controls, returning structured PASS/FAIL decisions with reasoning.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Scans files, directories, and environment configurations for exposed secrets, API keys, and credentials, redacting matches and providing allowlist support. Enables natural-language secret detection in projects and CI/CD integration via CLI.

MCP server that lists, installs, and removes applications on Linux targets via Peckboard, supporting local and remote SSH hosts with distro package managers and pip.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

Enables AI agents to scan text for leaked secrets and prompt injection markers, and redact them before reaching an LLM.

A Model Context Protocol server for Conan package manager integration, enabling dependency management, project creation, and security scanning via natural language.

MCP server for LobsterVault, enabling AI agents to securely store, retrieve, manage, and share encrypted secrets with KMS envelope encryption, including environment variable injection.

Enables querying open job postings directly from company applicant-tracking systems (Greenhouse, Ashby, Lever), finding a company's job board, listing and comparing roles, and accessing salary data, all without scraping or API keys.

Verify sealed voice recordings (WAV) from any AI assistant: verdict (verified, unsealed, warning, alert) and the seconds that changed after sealing. Verify-only, no secrets.