In the world of AI, where precision is as vital as a sharp hook on a fishing line, configuring Model Context Protocol (MCP) servers with parameters can be straightforward. Here's how to do it, keeping things simple, like a clear day's dialogue.
Brave Search with API Key
For Brave Search, which requires an API key, the setup is like setting the course on a calm sea:
-
Type:
command - Server:
env BRAVE_API_KEY=your-api-key -y @modelcontextprotocol/server-brave-search
This line sets your API key as an environment variable, then launches the Brave Search server with it, like giving directions to a trusted crew member.
SQLite with Database Path
SQLite configurations are similar, only needing the path to your database:
-
Type:
command - Server:
uvx mcp-server-sqlite --db-path ~/Documents/sqlite-db/foo.db
Here, uvx is the command to run, followed by the SQLite server, with --db-path specifying where your database lives, as simple as pointing to a star in the night sky.
Filesystem Access
For filesystem operations, the path to your directory is all you need:
-
Type:
command - Server:
npx -y @modelcontextprotocol/server-filesystem ~/Desktop
This command uses npx to start the filesystem server, directing it to your Desktop, like choosing the best spot to cast your line.
Extending to Other Services
The pattern holds for other services or custom MCP servers. Here's how you might configure another hypothetical service:
Hypothetical Weather Service with API Token
-
Type:
command - Server:
env WEATHER_API_TOKEN=your-token -y @modelcontextprotocol/server-weather ~/WeatherData
This configuration sets an environment variable for the API token and directs the server to a local directory, ensuring your AI can fetch weather data as easily as checking the wind.
Keywords
- MCP Server Configuration
- AI Development
- Brave Search API
- SQLite Configuration
- Filesystem Operations
- Environment Variables
- API Key Setup
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