Packages

MCP server that executes Python code in a sandboxed WebAssembly environment using Pyodide running in Deno. Allows AI agents to run Python snippets with dependency installation, capturing stdout/stderr and return values. ARCHIVED: Project retired January 2026 in favor of Monty.

SSH MCP server enabling AI agents to execute commands on remote servers via SSH — connecting to SSH hosts, running commands, reading output, managing files on remote systems, and integrating remote server access into agentic infrastructure workflows. Similar to mcp-ssh-manager but potentially a simpler or different implementation.

SSH Manager MCP server enabling AI agents to manage SSH connections and execute remote commands — listing configured SSH hosts, connecting to remote servers, running commands over SSH, managing SSH keys, and integrating remote server access into agentic infrastructure management workflows. Provides a safe, structured interface for SSH operations from AI agents.

ShotGrid (formerly Shotgun, now Autodesk Flow Production Tracking) MCP server enabling AI agents to interact with the industry-standard VFX/animation production tracking platform — querying shots, assets, tasks, and versions; updating production status; managing review workflows; tracking render progress; and integrating production pipeline data into agent-driven VFX studio workflows.

HashiCorp Terraform Cloud's REST API for managing workspaces, runs, state files, variables, and modules. Enables programmatic control of infrastructure-as-code workflows and pipelines.

An MCP server that bridges Hugging Face Spaces with Claude Desktop, enabling AI agents to invoke ML services hosted on HF Spaces including image generation (FLUX, Shuttle), speech-to-text (Whisper), text-to-speech (Parler TTS), audio generation, vision models, and chat models — with automatic file handling and endpoint detection.

n8n2mcp bridge server enabling AI agents to trigger and interact with n8n workflows via MCP — exposing n8n workflow webhooks as MCP tools, allowing agents to invoke complex automation pipelines, data transformations, and integrations built in n8n from within their tool-calling context.

Type-safe settings management with Pydantic — loads configuration from environment variables, .env files, secrets files, and custom sources with automatic type coercion and validation. pydantic-settings features: BaseSettings subclass for defining settings schema, automatic env var loading, case-insensitive env var matching, nested model support (model_config SettingsConfigDict), env_prefix for namespacing, secrets_dir for Docker secrets, JSON field support in env vars, .env file loading via dotenv, custom settings sources (YAML, TOML, remote), model_validator for cross-field validation, and computed_field for derived settings.

Library that wraps existing stdio-based MCP servers into AWS Lambda functions, supporting multiple connection methods (API Gateway, Bedrock AgentCore, Lambda Function URLs, Lambda Invoke) with OAuth and IAM authentication.

The canonical Python machine learning library for traditional (non-deep-learning) ML, providing a consistent fit/predict API across classification, regression, clustering, dimensionality reduction, preprocessing, and pipeline construction.

A VS Code extension that runs an MCP server locally, exposing VS Code editing, file management, code intelligence (symbols, diagnostics, hover), and terminal execution to AI agents like Claude.

MCP server for Apple Voice Memos on macOS enabling AI agents to list, search, and access voice memo recordings from the local Voice Memos app. Allows AI agents to retrieve transcriptions and metadata from voice recordings stored locally on macOS for productivity and note-taking workflows.

Desktop application that extends Claude with persistent background automation, scheduled task execution, memory management, file watching, and worker agents. Runs as a menu bar/system tray app with a Node.js sidecar for scheduling and an MCP server for Claude integration. Supports pre-configured worker personalities (researcher, code reviewer, email assistant, etc.) and self-improving tasks that optimize based on execution history.

Improved child_process for Node.js with better developer experience. Execa wraps Node.js's child_process module with Promise-based API, proper error handling, piping, streaming, and cross-platform compatibility. Unlike zx (shell scripting focus), Execa is a pure Node.js API for spawning processes from code — no shell injection risk, better performance, and more control over process I/O.

MCP server wrapper around GPT Researcher that exposes deep research, quick search, report writing, and source retrieval as MCP tools. Supports STDIO, SSE, and Streamable HTTP transports for integration with Claude Desktop and other MCP clients.

MCP server integrating Google Gemini's search grounding capability — enabling AI agents to perform web searches using Google's search infrastructure via the Gemini API, with results grounded in real-time web content. Provides up-to-date information search with Google's index quality and Gemini's synthesis capabilities for research and information retrieval tasks.

Property-based testing library for Python that automatically generates hundreds of diverse test inputs — including edge cases humans miss — by describing the shape of valid inputs rather than writing specific examples, then shrinks failing cases to minimal reproducible examples.

The standard testing framework for Java and Kotlin on the JVM. JUnit 5 (Jupiter) provides annotations (@Test, @BeforeEach, @AfterEach, @Nested, @ParameterizedTest), assertions (assertEquals, assertThrows, assertAll), and an extension model for test customization. Replaced JUnit 4 as the de facto standard for JVM testing. Supports parameterized tests, dynamic tests, test templates, and parallel execution.

JavaScript testing framework with batteries included — test runner, assertion library, mocking, coverage, and snapshot testing in one package. Originally created by Meta (Facebook) for React. Jest uses a JSDOM environment by default, making React component testing straightforward. The most widely deployed JavaScript test framework with massive ecosystem compatibility.

Ecommerce-focused email and SMS marketing platform with deep Shopify/BigCommerce integration, behavioral segmentation, and APIs for event tracking, profile management, and campaign automation.