• Add tool definitions in src/index.ts
• Update the README below
• Update the placeholder info in package.json
• Test building the MCP server with npm run build, and using the @modelcontextprotocol/inspector library
• Publish to npm: npm login, npm publish --access public

[Insert overview here]

[Insert features here]

1. Create a API key etc.
2. Set the token as an environment variable:

export API_KEY_ENV_VAR=the_secret_api_key

Add this to your settings JSON file:

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "some_secret_api_key",
        "description": "Secret API key",
        "password": true
      }
    ],
    "servers": {
      "[library-name]": {
        "command": "npx",
        "args": [
          "-y",
          "@larryhudson/[the-library]"
        ],
        "env": {
          "API_KEY_ENV_VAR": "${input:some_secret_api_key}"
        }
      }
    }
  }
}

Add this to your MCP configuration JSON file:

{
  "mcpServers": {
    "[the-library]": {
      "command": "npx",
      "args": ["-y", "@larryhudson/[the-library]"],
      "env": {
        "API_KEY_ENV_VAR": "<THE_SECRET_API_KEY>"
      }
    }
  }
}

[List the tools here]

[Some info about how it works]

Built with:

• Model Context Protocol (MCP): Framework for allowing AI assistants to interact with external tools
• TypeScript: For type safety and better developer experience

You can use the Model Context Protocol inspector to try out the server:

npx @modelcontextprotocol/inspector npx tsx src/index.ts

MIT