"AWS Secrets Manager" matching MCP servers:

Secure, value-blind Model Context Protocol server for Bitwarden Secrets Manager using the official Python SDK.

Read-only MCP server for Microsoft SQL Server that retrieves connection details from AWS Secrets Manager, enabling database exploration and querying via natural language.

Enables AI assistants to interact with AWS services and resources through AWS CLI commands, allowing management of AWS infrastructure with security controls.

An MCP server that enables AI agents to securely add secrets to .env files by prompting the user to input the value through a local masked dialog, ensuring the agent never sees the secret.

Scans code strings for hardcoded secrets (AWS keys, tokens, private keys, etc.) and returns redacted findings, helping AI coding agents catch secrets before writing or committing code.

Provides file-level exclusive locking across multiple Claude Code instances to prevent edit conflicts when multiple agents edit the same project simultaneously.

Share encrypted, self-destructing secrets from your AI agent. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) keep secrets out of LLM context.

Enables users to generate professional AWS architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python code through the diagrams package. Supports customizable styling and secure diagram generation for cloud infrastructure visualization.

Enables read-only querying of AWS accounts, regions, and resources through a small fixed set of MCP tools backed by a YAML catalog of views.

Comprehensive documentation lifecycle management powered by an MCP server. Automates documentation creation, maintenance, quality assessment, and synchronization for software projects.

Enables LLM agents to perform CRUD operations across multiple databases including PostgreSQL, MySQL, and SQL Server using SQLAlchemy. It features configurable permission management and secure connection handling with automatic password redaction.

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.

A cross-platform secrets manager that stores named credential sets in the system keychain and injects them as environment variables, enabling secure secret management for AI coding assistants and CLI tools.

VS Code Extension & Model Context Protocol Suite Orchestrator for Cursor, Claude Desktop, and VS Code IDEs.

Provides an inline UI in Claude Desktop to view, add, remove, and update MCP server entries in claude_desktop_config.json, with automatic backup and app restart.

MCP server for the Google Tag Manager API v2, enabling natural-language management of containers, workspaces, tags, triggers, variables, and publishing. It handles OAuth authentication and built-in rate limiting for the strict GTM API quota.

MCP server for AWS infrastructure analysis. Connects to DynamoDB, Lambda, SQS, SNS, Secrets Manager, EventBridge, RDS, PostgreSQL, MongoDB, and CloudWatch — surfaces missing indexes, queue DLQs, Lambda config issues, IaC drift, and security findings for Claude Code and Cursor.

Encrypted token store for Claude Code sessions, providing MCP tools for secure secret management with macOS Keychain integration, per-project allowlists, and native dialog input.

Scans projects for hardcoded secrets, unprotected .env files, and console.log leaks to prevent credential exposure.

A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.