ServeMyAPI
A personal server for securely storing and accessing API keys using the macOS Keychain.
ServeMyAPI
A personal MCP (Model Context Protocol) server for securely storing and accessing API keys across projects using the macOS Keychain.
IMPORTANT: ServeMyAPI is a macOS-specific tool that relies on the macOS Keychain for secure storage. It is not compatible with Windows or Linux operating systems. See the security notes section for more details.
Overview
ServeMyAPI allows you to store API keys securely in the macOS Keychain and access them through a consistent MCP interface. This makes it easy to:
- Store API keys securely (they're never visible in .env files or config files)
- Access the same keys across multiple projects
- Use natural language to store and retrieve keys (when used with LLMs like Claude)
- Provide keys directly to your AI assistant when it needs to access services
Why ServeMyAPI over .ENV Files?
Using ServeMyAPI instead of traditional .ENV files solves several common problems:
-
GitHub Security Conflicts:
- .ENV files need to be excluded from Git repositories for security (via .gitignore)
- This creates a "hidden context" problem where important configuration is invisible to collaborators and LLMs
- New developers often struggle with setting up the correct environment variables
-
LLM Integration Challenges:
- LLMs like Claude can't directly access your .ENV files due to security constraints
- When LLMs need API keys to complete tasks, you often need manual workarounds
- ServeMyAPI lets your AI assistant request keys through natural language
-
Cross-Project Consistency:
- With .ENV files, you typically need to duplicate API keys across multiple projects
- When keys change, you need to update multiple files
- ServeMyAPI provides a central storage location accessible from any project
This approach gives you the best of both worlds: secure storage of sensitive credentials without sacrificing visibility and accessibility for your AI tools.
Features
- Secure storage of API keys in the macOS Keychain
- Simple MCP tools for storing, retrieving, listing, and deleting keys
- Convenient CLI interface for terminal-based key management
- Support for both stdio and HTTP/SSE transports
- Compatible with any MCP client (Claude Desktop, etc.)
Installation
# Clone the repository
git clone https://github.com/yourusername/servemyapi.git
cd servemyapi
# Install dependencies
npm install
# Build the project
npm run build
Usage
CLI Interface
ServeMyAPI comes with a command-line interface for quick key management directly from your terminal:
# Install the CLI globally
npm run build
npm link
# List all stored API keys
api-key list
# Get a specific API key
api-key get github_token
# Store a new API key
api-key store github_token ghp_123456789abcdefg
# Delete an API key
api-key delete github_token
# Display help
api-key help
Running as a stdio server
This is the simplest way to use ServeMyAPI as an MCP server, especially when working with Claude Desktop:
npm start
Running as an HTTP server
For applications that require HTTP access:
node dist/server.js
This will start the server on port 3000 (or the port specified in the PORT environment variable).
Using Smithery
ServeMyAPI is available as a hosted service on Smithery.
import { createTransport } from "@smithery/sdk/transport.js"
const transport = createTransport("https://server.smithery.ai/@Jktfe/servemyapi")
// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
const client = new Client({
name: "Test client",
version: "1.0.0"
})
await client.connect(transport)
// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)
For more details, see the Smithery API documentation.
Configuring MCP Clients
ServeMyAPI works with any MCP-compatible client. Example configuration files are provided in the examples directory.
Claude Desktop
To use ServeMyAPI with Claude Desktop:
-
Locate or create the Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%AppData%\Claude\claude_desktop_config.json
- macOS:
-
Add ServeMyAPI to the
mcpServerssection (you can copy fromexamples/claude_desktop_config.json):{ "mcpServers": { "serveMyAPI": { "command": "node", "args": [ "/ABSOLUTE/PATH/TO/servemyapi/dist/index.js" ] } } } -
Replace
/ABSOLUTE/PATH/TO/servemyapiwith the actual path to your ServeMyAPI installation. -
Restart Claude Desktop.
Windsurf
To use ServeMyAPI with Windsurf:
- Open Windsurf editor and navigate to Settings
- Add ServeMyAPI to your MCP server configuration using the example in
examples/windsurf_config.json - Adapt the paths to your local installation
MCP Tools
ServeMyAPI exposes the following tools:
store-api-key
Store an API key in the keychain.
Parameters:
name: The name/identifier for the API keykey: The API key to store
Example (from Claude):
Using serveMyAPI, store my API key ABC123XYZ as "OpenAI API Key"
get-api-key
Retrieve an API key from the keychain.
Parameters:
name: The name/identifier of the API key to retrieve
Example (from Claude):
Using serveMyAPI, get the API key named "OpenAI API Key"
delete-api-key
Delete an API key from the keychain.
Parameters:
name: The name/identifier of the API key to delete
Example (from Claude):
Using serveMyAPI, delete the API key named "OpenAI API Key"
list-api-keys
List all stored API keys.
No parameters required.
Example (from Claude):
Using serveMyAPI, list all my stored API keys
Security Notes
- All API keys are stored securely in the macOS Keychain
- Keys are only accessible to the current user
- The keychain requires authentication for access
- No keys are stored in plaintext or logged anywhere
Roadmap
Future plans for ServeMyAPI include:
-
Code Scanner Tool: A tool that automatically scans your codebase for API endpoints, sensitive URLs, and environment variables, then suggests names to store them in the Keychain. This would allow developers to continue using .ENV files in their regular workflow while ensuring credentials are also available to LLMs and other tools when needed.
-
Cross-Platform Support: Investigating secure credential storage options for Windows and Linux to make ServeMyAPI more widely accessible.
-
Integration with Popular Frameworks: Providing easy integration with frameworks like Next.js, Express, and others.
-
UI for Key Management: A simple web interface for managing your stored API keys directly.
Feel free to suggest additional features or contribute to the roadmap by opening an issue or pull request.
Development
# Run in development mode with hot reload
npm run dev
# Use the CLI during development
npm run cli list
# Lint the code
npm run lint
# Build for production
npm run build
License
MIT
関連サーバー
Alpha Vantage MCP Server
スポンサーAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Apktool
A server for Android APK analysis and reverse engineering using Apktool.
React MCP
An MCP server for integrating AI with React applications.
Prompt MCP Server for Amazon Q
An MCP server for the Amazon Q Developer CLI to manage local prompt files.
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers without authentication.
CryptoAnalysisMCP
Provides comprehensive cryptocurrency technical analysis, including real-time price data, technical indicators, chart pattern detection, and trading signals for over 2,500 cryptocurrencies.
OPNsense MCP Server
A comprehensive MCP server for managing OPNsense firewalls, offering over 300 tools for configuration and monitoring.
third-eye-mcp
Privacy-first screen capture MCP server for AI coding agents. Let Claude, Cursor, or any MCP-compatible AI see your screen with full control.
llm-context
Share code context with LLMs via Model Context Protocol or clipboard.
Solana Dev MCP
An MCP server for Solana development providing basic RPC methods and helpful prompts.
Kaggle MCP
Get access to Kaggle's datasets, models, competitions, notebook and benchmarks.