A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Operates as an open Model Context Protocol (MCP) server over standard input/output (stdio) or Server-Sent Events (SSE). Client environments like Claude Desktop, Cursor, or custom agent runtimes connect via JSON-RPC to discover available tool schemas, execute operations securely within configured directory boundaries, and stream structured responses back into the agent context window.
High-throughput parsing of complex documents (PDFs, Word docs, spreadsheets, presentations)
Structured table, key-value, and metadata extraction directly into agent memory buffers
Automated report generation and document synthesis from multi-source repositories
{
"mcpServers": {
"xcodebuildmcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-xcodebuildmcp"
]
}
}
}
Paste into your client configuration file (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%/Claude/claude_desktop_config.json on Windows).
Clone or install the MCP tool server from GitHub (getsentry/XcodeBuildMCP)
Add the server entry into your AI client configuration (e.g. Claude Desktop 'claude_desktop_config.json' or Cursor MCP settings)
Configure required environment variables and allowlisted working directory paths
Restart your AI assistant environment to initialize the MCP protocol handshake and verify active tools
Keeps heavy parsing and raw file structures external to the LLM. Only sanitized excerpts and structured returns are injected into agent memory turns.
Enforce explicit directory allowlists and permission scopes in client configuration to ensure autonomous tool calls never breach system boundaries.
Executes in an isolated local child process communicating strictly over JSON-RPC via stdio with explicit process timeouts.
XcodeBuildMCP is an open-source document capability designed for AI clients and autonomous agents. A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Follow the step-by-step installation: 1) Verify your runtime (Node.js 18+ or Python 3.10+), 2) Add the configuration snippet into your AI client settings (e.g. claude_desktop_config.json), 3) Restart the client to initialize tool execution.
XcodeBuildMCP is compatible with all AI tools supporting tool-calling and the Model Context Protocol (MCP), including Claude Desktop, Cursor, Claude Code CLI, Windsurf, OpenCode, and custom agent runtimes.
XcodeBuildMCP executes locally with strict directory allowlists and permission scopes. Heavy parsing and raw file structures stay external to the LLM context window to prevent memory saturation and unauthorized access.
Yes, XcodeBuildMCP is published under the MIT open-source license. You can inspect the source code and contribute on GitHub at https://github.com/getsentry/XcodeBuildMCP.
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