mlx-mcp
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
mlx-mcp
MLX, MLX Data and MLX LM docs for Claude Code, Codex and other coding agents.
Install · Use it · Tools · Troubleshooting
mlx-mcp gives Claude Code, Codex and other coding agents the MLX, MLX Data and MLX LM docs, so your agent can check the docs before it writes MLX code instead of working from memory.
It runs on your Mac, needs no account or API key, and works offline after the first search.
An independent project, not affiliated with Apple or the MLX maintainers.
Install
You need an Apple silicon Mac with macOS 14 or later. Claude Desktop needs nothing else. The other clients need uv.
Add mlx-mcp to your agent below. Apart from Claude Desktop, every client runs
the same command, uvx --python 3.13 mlx-mcp serve, so there's nothing else to
install. uv downloads Python 3.13 if you don't have it.
Claude Desktop
Download mlx-mcp.mcpb, double-click it to open it in Claude Desktop, and
install it. Claude Desktop sets up Python and everything mlx-mcp needs.
Claude Code
claude mcp add --scope user mlx-docs -- uvx --python 3.13 mlx-mcp serveCodex
codex mcp add mlx-docs -- uvx --python 3.13 mlx-mcp serveCursor
Or add it by hand in ~/.cursor/mcp.json:
{
"mcpServers": {
"mlx-docs": {
"command": "uvx",
"args": ["--python", "3.13", "mlx-mcp", "serve"]
}
}
}VS Code
Or add it by hand in .vscode/mcp.json:
{
"servers": {
"mlx-docs": {
"type": "stdio",
"command": "uvx",
"args": ["--python", "3.13", "mlx-mcp", "serve"]
}
}
}Other MCP clients
Add a stdio server named mlx-docs that runs this command:
{
"command": "uvx",
"args": ["--python", "3.13", "mlx-mcp", "serve"]
}Related MCP server: context
Use it
Ask your agent, for example:
"Use mlx-mcp to port this PyTorch code to MLX."
"Check the MLX docs: does
mx.compilehandle inputs whose shape changes?""This MLX inference is slow. Use mlx-mcp's performance workflow to find out why."
Your agent can also check which docs versions mlx-mcp has, and every page it reads says which version it's from.
Your agent starts mlx-mcp when it needs it. The first start downloads about 65 MB, mostly MLX, and the first search downloads the 90 MB search model. After that it works offline.
Tools
Tool | What it does |
| Searches the docs by API name, such as |
| Reads a whole section or page from a search result's URL, continuing long pages with an offset. |
| Shows which MLX, MLX Data and MLX LM docs versions are indexed. |
| Returns a step-by-step procedure for measured performance work: baselines, finding where time goes, custom kernels and before/after comparisons. Not in PyPI 0.1.1 yet. |
All four only read the docs stored on your Mac. Your agent runs and edits your code with its own tools.
Update
uvx --python 3.13 mlx-mcp@latest --versionThen start a new agent session. In Claude Desktop, download and install the
latest mlx-mcp.mcpb again.
Uninstall
Remove mlx-docs from each agent you connected:
Claude Code:
claude mcp remove --scope user mlx-docsCodex:
codex mcp remove mlx-docsClaude Desktop: remove mlx-mcp in its extension settings.
Cursor, VS Code and other clients: delete the
mlx-docsentry.
Then delete ~/.cache/mlx-mcp to free the space.
If something doesn't work
Run uvx --python 3.13 mlx-mcp prepare and start a new session. It downloads
anything missing and checks that search and fetch work. If that doesn't fix
it, open an issue with
what the command printed.
If Cursor, VS Code or another app can't find uvx, run command -v uvx in a
terminal and use the path it prints as the command.
Good to know
The performance workflow points your agent to Apple's profiling tools: Instruments' Time Profiler and Metal System Trace through
xctrace,gpucapture,gpudebug,footprintand Metal validation. When perfkit is installed, it maps each question to a perfkit command group: Metal System Trace summaries, kernel-level GPU time from captures, GPU telemetry, CPU call trees, static kernel analysis, paired benchmarks and capture diffs. The agent reads exact commands fromperfkit contract describe --jsonandperfkit api describe --jsonrather than hard-coded flags. It returns guidance only and does not run your code.The bundled docs may not match the MLX version you have installed.
uvx --python 3.13 mlx-mcp infoshows the versions mlx-mcp has.uvx --python 3.13 mlx-mcp prepare --refreshdownloads the latest MLX and MLX Data docs. MLX LM stays at its bundled version. Start a new session after refreshing.mlx-mcp has the published docs, not the MLX source code. The docs don't always say which kernel or device runs an operation. For that, read the MLX source or measure it.
uvx --python 3.13 mlx-mcp --helplists the commands.
License
MIT. Includes text from the MLX, MLX Data and MLX LM projects, © Apple Inc., under the MIT License. See the third-party notices. To report a security problem, see Security.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Token-efficient search for coding agents over public and private documentation.
Search and read Apple developer documentation, HIG, and WWDC transcripts as Markdown.
Read-only search and Markdown pages from the OpenPlanr docs, for coding agents.
Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…
Related MCP Servers
- MIT
- AlicenseNot gradedqualityCmaintenanceProvides up-to-date documentation for AI agents by locally querying a community-driven registry of pre-built docs packages.Apache 2.0
- AlicenseAqualityCmaintenanceProvides fast, token-efficient search over coding agent documentation (e.g., Claude Code, Cursor) using local SQLite FTS5 indexing, with tools for searching snippets, reading pages, and grepping markdown.5MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI coding agents to search, index, and manage documentation libraries with hybrid retrieval and live web fallback, all self-hosted and offline.1MIT