Provides a secure sandbox environment for executing code within Docker containers, enabling AI applications to run untrusted code safely.

Enables natural‑language interaction with KiCad projects through a Model Context Protocol (MCP) server, providing project management, design analysis, netlist extraction, BOM generation, DRC execution, PCB visualization, and circuit pattern recognition.

Enables invocation of Dify workflows through Model Context Protocol, allowing tools to call Dify’s capabilities from any MCP‑compatible client.

Provides real-time NixOS package, configuration option, and version‑history data to AI assistants via Model Context Protocol, eliminating hallucinated responses about the Nix ecosystem.

Secure Model Context Protocol server that enables command‑line interactions on Windows, supporting PowerShell, CMD, Git Bash and remote SSH operations.

Enables large language models to trade stocks and options, retrieve real‑time and historical market data, and manage portfolios using plain English commands through a local or remote MCP server.

Cross‑platform desktop interface for interacting with multiple LLM backends via MCP, supporting dynamic configuration, multi‑client management, and reusable UI for both desktop and web environments.

Fast cross‑platform file searching leveraging the Everything SDK on Windows, Spotlight on macOS, and locate/plocate on Linux.

Enables large language models to control iOS simulators through natural language commands, offering full lifecycle management, app handling, UI interaction, debugging, and advanced simulation features.

Interact with Microsoft 365 and Office services through the Graph API via a Model Context Protocol server, enabling tool‑based access to email, calendars, files, Teams, SharePoint and many other resources.

Integrates AI agents with the crypto ecosystem, providing unified wallet management, swaps, cross‑chain transactions, and advanced trading tools.

Control Neovim via Model Context Protocol using the official neovim/node-client library, delivering lightweight AI‑assisted code and text editing capabilities.

Upload, edit, search, and generate videos by leveraging LLM capabilities together with Video Jungle's media library.

Enables AI agents to query large‑context language models with collections of files that exceed the agent’s own context window.

Enables AI assistants to interact with Firebase services—including Firestore, Storage, and Authentication—through an MCP server.

Provides Elasticsearch and OpenSearch interaction via Model Context Protocol, enabling document search, index management, cluster monitoring, and alias operations.

Manages Telegram dialogs, messages, drafts, and read statuses via the Model Context Protocol, enabling AI assistants to query and interact with Telegram accounts.

Provides a Model Context Protocol server that enables LLMs to execute arbitrary shell commands and receive stdout and stderr, with optional stdin for interactive scripts and file creation.

A Model Context Protocol (MCP) server that enables natural language queries to databases

Provides document management and AI-powered semantic search for storing, retrieving, and querying text, markdown, and PDF files locally without external databases.

Provides natural‑language search and recommendation for Model Context Protocol servers, delivering rich metadata and real‑time updates.

Execute Python code within a specified Conda, virtualenv, or UV environment, supporting incremental code generation and dynamic dependency handling for LLMs.

Converts Markdown content into interactive mindmaps, offering HTML output or a saved file path for seamless integration with AI clients.

Provides an MCP backend service built with Python and FastAPI to interact with Apache Doris databases, enabling natural language to SQL conversion, query execution, metadata extraction, and comprehensive enterprise data governance.

Provides a fast, stdio‑based server that enables AI agents to perform web searches and fetch page content via the RAG Web Browser Actor.

Expose GraphQL operations as MCP tools, enabling AI models to access and orchestrate APIs running with Apollo.

Provides a local Model Context Protocol server that enables natural‑language interaction with MongoDB databases via LLMs, allowing queries, aggregations, schema analysis and administrative operations.