Implements Claude Code's software engineering capabilities as a Model Context Protocol (MCP) server.
Provides a comprehensive, step-by-step guide for developing both server-side and client-side Model Context Protocol (MCP) applications.
Enables AI assistants like Claude Desktop to directly interact with source code files and project directories for enhanced development workflows.
Enables large language models to manage and automate VAST Data Platform infrastructure through natural language commands.
Enables LLMs to securely read and list files from a designated directory on a local machine.
Enables AI assistants to manage files, downloads, and system operations on Synology NAS devices through secure API integration.
Integrates Ollama with Model Context Protocol (MCP) servers, allowing AI models to interact with various tools through a unified interface.
Enables AI assistants to control, debug, and analyze Android devices using natural language via the Model Context Protocol.
Automates the generation of Excel files with dynamic structures using JSON schemas, powered by the Model Context Protocol.
Enables direct file system access and management for Obsidian vaults through Model Context Protocol (MCP).
Streamline the management and optimization of container environments, offering efficient deployment and monitoring across various platforms.
Coordinates work between multiple AI agents in shared codebases using a simple file-based signaling system to prevent conflicts.
Orchestrates interactions between users, large language models, and a suite of tools for automation and information retrieval.
Facilitates secure and controlled interaction between AI models and various data sources or tools via the Model Context Protocol.
Enables LLMs to execute shell commands and receive their output.
Analyzes Git repositories and generates documentation, incorporating powerful search capabilities for commits, XML, YAML, and JSON data.
Analyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
Provides a persistent memory system for AI assistants within the Cursor IDE, enhancing context awareness and workflow continuity.
Enables AI assistants to execute terminal commands on a system through a secure shell interface.
Serve local large language models natively on Apple Silicon with OpenAI/Ollama-compatible APIs, supporting tool calling, a plugin ecosystem, and a menu bar chat UI.
Exposes safe, structured read/write tools for Perforce P4 version control system assets like changelists, files, and workspaces via the Model Context Protocol.