"Vault" matching MCP servers:

Pull a Figma frame once, then let Claude Code, Codex or any MCP agent read it offline with no rate limits. Six read-only tools serve the normalized node tree, design tokens and locally built SVG icons from a vault you can commit, so teammates need no Figma token.

Embeds an MCP server directly within Obsidian to provide applications with streamlined access to vault operations including file management, fuzzy search, and structured data creation with custom schemas.

MCP server that provides a navigable map of an Obsidian vault for coding agents, with tools to outline notes, fetch sections, query frontmatter, and grep content, reducing token usage compared to reading whole notes.

Enables AI assistants to interact with Obsidian vaults through file operations like moving/renaming files and analyzing markdown heading structures. Bridges AI assistants with Obsidian using the Local REST API plugin for seamless vault management.

Centralized credential management for servers, websites, and APIs with HashiCorp Vault integration. Provides authentication, authorization, and audit logging for secure access to secrets.

A personal code snippet library for Claude, enabling saving, searching, and managing code snippets across sessions and projects.

Discover, archive, catalog, and verify OpenCode sessions with remote upload support.

Exposes OS keychain or AES-256-GCM encrypted file secrets as MCP tools, allowing reading, setting, and listing secrets without exposing values in conversation messages.

Enables AI coding agents to securely inject API keys and secrets into environment files, configs, or commands without the agent ever seeing the secret values.

A tiny MCP server that wraps Perseus Vault to provide persistent, encrypted, local-first memory for OpenAI Codex agents, enabling them to remember project conventions, decisions, and context across sessions.

Local-first encrypted key-value vault for securely storing and retrieving secrets like API keys using AES-GCM 256-bit encryption and a PIN.

Enables interaction with HashiCorp Vault to read, write, list, and delete secrets through a containerized MCP server with secure token-based authentication.

Enables AI assistants to fetch API keys and tokens on demand from an encrypted local vault instead of pasting them into chats, and to scan project folders for plaintext secrets. It also manages credential entries with templates, rotation tracking, usage logs, backups, and .env export.

Enables AI assistants like Claude to browse, search, and read data from an Autodesk Vault server by exposing its REST API operations as tools.

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 multi-user, per-namespace storage of AES-256-GCM-encrypted credentials (SSH, web, API, DB) managed through a web console with TOTP 2FA, and lets AI clients save, list, retrieve, or server-side invoke those secrets over a remote Streamable-HTTP endpoint without ever exposing the values in chat.

Provides AI coding agents with persistent, token-efficient memory by caching file digests and summaries, enabling fast retrieval and reduced context window usage.

Enables AI agents and MCP clients to securely store, retrieve, and manage encrypted credentials without hardcoding API keys.

A third-party MCP server for interacting with HashiCorp Vault to manage ACL policies, audit devices, and secret engines like KV v2, PKI, and Transit. It provides tools for system backend administration and includes prompts for generating security policy configurations.

Enables language models to securely manage HashiCorp Vault secrets and ACL policies through the Model Context Protocol. It supports automated secret rotation, discovery, and HCL policy authoring using a suite of dedicated tools and resources.