Filesystem

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.

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

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

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

Enables interaction with Obsidian vaults for file operations, content search, and metadata management, facilitating note-taking and knowledge base organization.

Integrates with YouTube using yt-dlp to enable downloading of videos and subtitles for content analysis and processing tasks.

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

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.

MCP server that seamlessly integrates Hugging Face Spaces with AI assistants, enabling easy access to diverse AI models and tools without manual configuration.

Provides access to 135+ animated React components from ReactBits.dev with intelligent caching, quality scoring, and dependency detection for building modern UI applications with animations, backgrounds, text effects, and interactive elements.

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

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.

Control browsers to perform sophisticated web interactions and visual tasks.

Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.

Install and configure additional MCP servers dynamically.

Provides efficient access to NPM/Go/Python package documentation through smart parsing and caching, enabling quick retrieval of up-to-date library information.

Microsoft Docs

Official Remote

Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

Chrome DevTools

Official

Provides direct Chrome browser control through DevTools for web automation, debugging, and performance analysis using accessibility tree snapshots for reliable element targeting, automatic page event handling, and integrated performance tracing with actionable insights.

Filesystem

Official

Read, write, and manipulate local files through a controlled API.

Enables file system access to read local files with optional API key authentication, providing a simple interface for analyzing and working with file content without manual uploads.

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.

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.