# Vmlx (MCP server)

> Vmlx is an MCP server that adds search and knowledge tools to AI assistants such as Claude Desktop, Claude Code and Cursor. vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm. It has 886 GitHub stars, is released under the Apache-2.0 license and runs locally with uvx vmlx.

Self-hosted inference server for LLMs, VLMs, and image generation on Apple Silicon. OpenAI + Anthropic + Ollama compatible HTTP API. Self-hosted; no third-party API keys required. Native MTP artifact detection and family-specific cache policy gates keep speculative/cache settings explicit and model-safe.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/jjang-ai/vmlx |
| GitHub stars | 886 |
| License | Apache-2.0 |
| Language | Python |
| Transport | stdio |
| Packages | pypi: vmlx |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | AI & search |
| Latest release | v1.6.75 (Oct 6, 2026) |
| Last commit | Oct 6, 2026 |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "vmlx": {
      "command": "uvx",
      "args": [
        "vmlx"
      ]
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --transport stdio vmlx -- uvx vmlx
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "vmlx": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vmlx"
      ]
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "vmlx": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vmlx"
      ]
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Similar MCP servers

- [Context7](https://appsgit.com/mcp-servers/context7): Up-to-date code docs for any prompt. (62,752 stars, MIT, needs API key)
- [FunASR](https://appsgit.com/mcp-servers/funasr): Transcribe local audio with FunASR and SenseVoice using private, on-device inference. (20,596 stars, MIT)
- [Bifrost](https://appsgit.com/mcp-servers/bifrost): Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS. (8,591 stars, Apache-2.0)
- [Honcho](https://appsgit.com/mcp-servers/honcho): Memory that reasons: continual learning for stateful agents. (7,494 stars, AGPL-3.0, needs API key)
- [Semble](https://appsgit.com/mcp-servers/semble): Fast and Accurate Code Search for Agents. (6,185 stars, MIT)
- [Exa](https://appsgit.com/mcp-servers/exa): Connect AI agents to Exa for web search, content fetching, and multi-step research. (5,088 stars, MIT, official)

---

Canonical page: https://appsgit.com/mcp-servers/vmlx
Source: appsgit (https://appsgit.com), the app store for github. Data from the GitHub API, refreshed nightly.
Machine access: JSON API https://appsgit.com/api/v1/apps (OpenAPI: https://appsgit.com/openapi.json), MCP server https://mcp.appsgit.com/mcp, full index https://appsgit.com/llms-full.txt.
