kimiflare

Install kimiflare in your MCP client

kimiflare is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add kimiflare to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; kimiflare's tools should appear.

{
  "mcpServers": {
    "kimiflare": {
      "command": "npx",
      "args": [
        "-y",
        "kimiflare"
      ]
    }
  }
}

npm package: kimiflare

Transport

kimiflare supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

From the kimiflare README

More build.protocol_tooling.mcp MCP servers

Other Model Context Protocol servers in the same space as kimiflare. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

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• LINZA

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Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.