KeyVault Pro

Provides a Model Context Protocol server that lets AI agents securely access your API keys without exposing them.

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javascript

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6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "sleekbeat-keyvault-pro": {
      "command": "node",
      "args": [
        "/path/to/mcp-server/index.js"
      ]
    }
  }
}

KeyVault Pro MCP Server provides a Model Context Protocol endpoint that lets AI agents securely access your API keys without exposing them in prompts. It enables seamless AI-assisted coding workflows while maintaining strict key sovereignty and environment separation, making it valuable for developers integrating AI into their toolchains.

How to use

Use the MCP server to let AI assistants retrieve your API keys on demand during conversations. You can list available keys, search for specific services, retrieve a key by service name, and check key information. All requests are handled by the MCP server to ensure keys are never pasted directly into prompts and that environment separation (dev/prod) is respected.

How to install

Prerequisites: you need Node.js installed on your system. You may also want a compatible AI assistant that can communicate with an MCP server.

Step-by-step setup for the MCP server:

# Change to the mcp-server directory if you have a project layout
# Install dependencies for the MCP server
cd mcp-server
npm install

# Start or configure the MCP server as needed by your AI assistant
# Example configuration snippet provided to your assistant:

MCP server configuration for AI agents

{
  "mcpServers": {
    "keyvault": {
      "command": "node",
      "args": ["/path/to/mcp-server/index.js"]
    }
  }
}

Available tools

get_api_key

Retrieve a specific API key from KeyVault Pro for use in AI prompts.

list_keys

List all keys available in the vault to help the AI identify candidates.

search_keys

Search for keys by service name or tag to narrow results for the AI workflow.

check_key_info

Check metadata about a key, such as environment, expiration, and usage notes.