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
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)
| Tool | What it does |
|---|---|
zig_hover | Type info and docs for a symbol |
zig_definition | Go to definition |
zig_references | Find all references |
zig_completion | Completion suggestions |
zig_diagnostics | Errors and warnings for a file |
zig_format | Format a file |
zig_rename | Rename a symbol across the workspace |
zig_document_symbols | List all symbols in a file |
zig_workspace_symbols | Search symbols across the project |
zig_code_action | Quick fixes and refactors for a range |
zig_signature_help | Function signature at cursor |
Build & run
| Tool | What it does |
|---|---|
zig_build | Run zig build with optional args |
zig_test | Run tests (whole project or single file, with optional filter) |
zig_check | Run zig ast-check on a file |
zig_version | Show Zig and ZLS versions |
zig_manage | Manage 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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