macOS Tools

Desktop Commander

Official

Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.

Securely extracts text, metadata, and page information from PDF files within a project directory using pdfjs-dist for both local files and remote URLs.

Provides high-performance text search capabilities by wrapping ripgrep, enabling powerful file exploration, pattern matching, and content discovery across local filesystems.

Provides secure, controlled filesystem operations within a project's root directory, enabling safe file listing, reading, writing, and searching with robust path validation.

Integrates Google Drive and Sheets functionality for file operations and spreadsheet data manipulation.

Integrates with Obsidian vaults, enabling natural language queries and updates to notes through secure read/write access.

Provides streaming-based file operations with auto-chunking for memory-efficient handling of large files, including sequential reading, precise line-based editing, batch operations, archive compression, and backup mechanisms with retry logic.

Converts natural language search queries like 'email addresses' or 'TODO comments' into regex patterns and executes grep operations with built-in pattern recognition for common searches including emails, URLs, phone numbers, and code constructs.

Provides tools for splitting large JSON files into manageable chunks and merging multiple JSON files into a consolidated output for efficient data processing workflows.

Provides a bridge between Windows and Linux environments by enabling access to WSL filesystem operations, allowing seamless reading, writing, editing, and management of files within WSL distributions directly from Windows.

Bridges local llama-server instances with MCP clients, providing chat interface, health monitoring, and configurable generation parameters for integrating llama.cpp models with desktop applications

Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.

Integrates with Datadog's API to enable incident management, including listing and retrieving incident information for system monitoring and observability workflows.

Lightweight server that captures and manages stdout logs from multiple processes through a named pipe system, maintaining a 100-entry log history and providing robust querying and filtering capabilities for debugging and real-time monitoring.

Integrates with 17TRACK API to provide global package tracking across multiple carriers with fuzzy search for carrier identification and delivery status monitoring for e-commerce and customer service workflows.

Logfire

Official

Enables AI systems to query and analyze OpenTelemetry traces and metrics through Logfire's API, providing tools for finding exceptions, investigating errors, and running custom SQL queries against observability data with automatic authentication.

Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities.

Integrates with Datadog monitoring platform to provide access to metrics, logs, dashboards, monitors, and incidents for DevOps and SRE workflows

Provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schemas, monitoring performance, and generating reports with features like connection pooling and transaction management.

Monitors ClojureScript builds in real-time, providing detailed status information including compilation status, warnings, errors, and file-specific details for verifying build success after code changes.