zig-mcp

MCP server for Zig that connects AI coding assistants to ZLS (Zig Language Server) via LSP — 16 tools for code intelligence, build, and test.

zig-mcp

MCP server for Zig that connects AI coding assistants to ZLS via the Language Server Protocol.

Works with Claude Code, Cursor, Windsurf, and any MCP-compatible client.

AI assistant  <--(MCP stdio)-->  zig-mcp  <--(LSP pipes)-->  ZLS
                                    |
                             zig build / test / check

Requirements

  • Zig 0.15.2+
  • ZLS (auto-detected from PATH, or specify with --zls-path)

Install

Claude Code plugin (recommended)

Install directly from the Claude Code interface — no manual build needed:

# 1. Add the marketplace
/plugin marketplace add nzrsky/zig-mcp

# 2. Install the plugin
/plugin install zig-mcp@zig

Or as a one-liner from the terminal:

claude plugin marketplace add nzrsky/zig-mcp && claude plugin install zig-mcp@zig

The binary is built automatically on first use. Just make sure zig and zls are in your PATH.

Manual build

git clone https://github.com/nzrsky/zig-mcp.git
cd zig-mcp
zig build -Doptimize=ReleaseFast

Binary is at zig-out/bin/zig-mcp.

Setup (manual install only)

If you installed via the plugin system, skip this section — everything is configured automatically.

Claude Code

# add globally
claude mcp add zig-mcp -- /absolute/path/to/zig-mcp --workspace /path/to/your/zig/project

# add for current project only
claude mcp add --scope project zig-mcp -- /absolute/path/to/zig-mcp --workspace /path/to/your/zig/project

Or edit ~/.claude/mcp_servers.json:

{
  "mcpServers": {
    "zig-mcp": {
      "command": "/absolute/path/to/zig-mcp",
      "args": ["--workspace", "/path/to/your/zig/project"]
    }
  }
}

If you omit --workspace, zig-mcp uses the current working directory.

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "zig-mcp": {
      "command": "/absolute/path/to/zig-mcp",
      "args": ["--workspace", "/path/to/your/zig/project"]
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "zig-mcp": {
      "command": "/absolute/path/to/zig-mcp",
      "args": ["--workspace", "/path/to/your/zig/project"]
    }
  }
}

Options

--workspace, -w <path>   Project root directory (default: cwd)
--zls-path <path>        Path to ZLS binary (default: auto-detect from PATH)
--help, -h               Show help
--version                Show version

Tools

Code intelligence (via ZLS)

ToolWhat it does
zig_hoverType info and docs for a symbol
zig_definitionGo to definition
zig_referencesFind all references
zig_completionCompletion suggestions
zig_diagnosticsErrors and warnings for a file
zig_formatFormat a file
zig_renameRename a symbol across the workspace
zig_document_symbolsList all symbols in a file
zig_workspace_symbolsSearch symbols across the project
zig_code_actionQuick fixes and refactors for a range
zig_signature_helpFunction signature at cursor

Build & run

ToolWhat it does
zig_buildRun zig build with optional args
zig_testRun tests (whole project or single file, with optional filter)
zig_checkRun zig ast-check on a file
zig_versionShow Zig and ZLS versions
zig_manageManage Zig versions via zvm

How it works

zig-mcp spawns ZLS as a child process and talks to it over stdin/stdout using the LSP protocol (Content-Length framing). On the other side, it speaks MCP (newline-delimited JSON-RPC) to the AI assistant.

Three threads:

  • main -- reads MCP requests, dispatches tool calls, writes responses
  • reader -- reads LSP responses from ZLS, correlates by request ID
  • stderr -- forwards ZLS stderr to the server log

If ZLS crashes, zig-mcp automatically restarts it and re-opens all tracked documents.

Files are opened in ZLS lazily on first access -- no need to manage document state manually.

Development

# build
zig build

# run tests (~75 unit tests)
zig build test

# run manually
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"capabilities":{}}}' | \
  zig-out/bin/zig-mcp --workspace . 2>/dev/null

License

MIT

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