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llm-advisor-mcp

MCP server for LLM/VLM model selection — compare 336+ models with real-time benchmarks, pricing, and personalized recommendations. No API key required.

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build.protocol_tooling.mcp#mcp#mcp-server#model-context-protocol#llm#vlm#ai#ai-models#model-selection#model-comparison#model-recommendation

Install llm-advisor-mcp in your MCP client

llm-advisor-mcp 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 llm-advisor-mcp 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; llm-advisor-mcp's tools should appear.
{
  "mcpServers": {
    "llm-advisor-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "llm-advisor-mcp"
      ]
    }
  }
}

Install llm-advisor-mcp in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. llm-advisor-mcp will show up in the assistant's tool list on next launch.

Install llm-advisor-mcp in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). llm-advisor-mcp will show up in the assistant's tool list on next launch.

Install llm-advisor-mcp in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). llm-advisor-mcp will show up in the assistant's tool list on next launch.

Install llm-advisor-mcp in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. llm-advisor-mcp will show up in the assistant's tool list on next launch.

npm package: llm-advisor-mcp

Transport

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

stdio

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

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