Connecting
Add Feather to your AI client in under a minute. All clients connect to the same URL and authenticate with your Feather API key.
create:blog and/or create:post. Generate or update your key under Settings → API Keys.Claude Desktop
Claude Desktop connects to remote MCP servers via mcp-remote, a small bridge that runs locally. No install step is needed — npx downloads it automatically on first use.
Open or create ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows) and add the feather entry under mcpServers:
{ "mcpServers": { "feather": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.feather.so", "--header", "Authorization: Bearer fk_live_YOUR_KEY" ] } } }
Cursor
Open Cursor Settings → MCP and add a new server, or edit ~/.cursor/mcp.json (global) / .cursor/mcp.json (project) directly:
{ "mcpServers": { "feather": { "url": "https://mcp.feather.so", "headers": { "Authorization": "Bearer fk_live_YOUR_KEY" } } } }
VS Code
Create a .vscode/mcp.json file in your project root:
{ "servers": { "feather": { "type": "http", "url": "https://mcp.feather.so", "headers": { "Authorization": "Bearer fk_live_YOUR_KEY" } } } }
Any other MCP client
Point the client at https://mcp.feather.so using the Streamable HTTP transport and set a custom request header:
Authorization: Bearer fk_live_YOUR_KEY
After connecting
Restart your AI client after saving the config. The Feather tools will appear automatically — you can verify by asking your AI assistant "What Feather tools do you have access to?"