Packages

Umbraco MCP server enabling AI agents to interact with Umbraco CMS — the popular open-source .NET content management system. Enables reading and writing content, managing media, querying document types, publishing pages, and integrating AI-driven content management into Umbraco-based websites and headless CMS workflows.

MCP server that exposes VS Code's internal command palette and APIs to AI agents, enabling agents to programmatically execute VS Code commands — opening files, running build tasks, executing debugger actions, managing extensions, and controlling editor state via MCP tool calls.

Email validation and deliverability API that verifies email addresses in real-time or in batch, scoring them on validity, bounce risk, spam traps, and abuse patterns.

MCP server for enforcing and checking code style guidelines. Enables AI agents to run code style checks, apply formatting rules, validate code against style guides, and provide code quality feedback — supporting AI-driven code review and style enforcement workflows.

Assertion library for .NET — replaces Assert.AreEqual(expected, actual) with natural language assertion chains: result.Should().NotBeNull().And.HaveCount(3).And.ContainItemsAssignableTo<AgentDto>(). FluentAssertions features: object assertions (Be, NotBe, BeNull, BeEquivalentTo), collection assertions (HaveCount, Contain, BeInAscendingOrder), exception assertions (Throw<T>, ThrowAsync<T>), string assertions (Contain, Match, StartWith), numeric assertions (BePositive, BeInRange), date/time assertions (BeAfter, BeWithin), and custom assertion extension methods. Failure messages include full context explaining what was expected vs actual with diff. Works with xUnit, NUnit, and MSTest.

Foundry MCP server enabling AI agents to interact with the Foundry Ethereum development toolkit — running Forge tests, deploying smart contracts via Cast, checking contract ABIs, compiling Solidity code, and integrating Foundry's EVM development toolchain into agent-driven smart contract development and testing workflows.

MCP server for Lunch Money — a developer-friendly personal budgeting and financial tracking app. Enables AI agents to query transactions, review budget categories, check account balances, analyze spending patterns, and interact with Lunch Money's financial data — supporting AI-driven personal finance management workflows.

MCP server for analyzing PCAP (packet capture) files — enabling AI agents to parse, inspect, and extract insights from network packet captures. Useful for network forensics, security incident investigation, protocol analysis, and network troubleshooting workflows where agents need to interpret raw network traffic data.

Flexible error handling library for Rust applications. Provides anyhow::Error as a dynamic error type that can hold any error implementing std::error::Error, with context chaining (context() / with_context()), backtraces, and ergonomic ? operator usage without defining custom error types per function. The standard error handling approach for Rust application code (as opposed to library code which uses thiserror).

MCP server providing 49 tools for interacting with AWX (Ansible Tower open source) — the web-based UI and REST API for managing Ansible automation at scale. Enables AI agents to trigger job templates, manage inventories, monitor automation runs, and interact with the full AWX REST API for infrastructure automation workflows.

MCP server for Calendly — the popular online meeting scheduling platform. Enables AI agents to access Calendly data: list event types, retrieve scheduled events, check user availability, and manage bookings. Allows AI assistants to understand and work with a user's Calendly scheduling workflow.

MikroTik MCP server enabling AI agents to interact with MikroTik RouterOS routers and switches — querying interface status, managing firewall rules, monitoring bandwidth usage, configuring routing tables, and integrating MikroTik network infrastructure into agent-driven network administration workflows.

MCP server providing powerful HTTP client capabilities to AI agents — enabling agents to make arbitrary HTTP requests (GET, POST, PUT, DELETE, etc.), set custom headers, handle authentication, process responses, and interact with any REST API or web service via structured MCP tool calls.

MCP server for RSS/Atom feed reading and aggregation. Enables AI agents to fetch and parse RSS/Atom feeds from any URL, aggregate content from multiple sources, monitor for new items, and integrate RSS-based content discovery into AI research and monitoring workflows.

MCP server providing access to ReactBits — a curated collection of animated React UI components, effects, and design patterns. Enables AI coding agents to query ReactBits component documentation, retrieve component code snippets, and discover available animation and UI patterns — supporting AI-assisted React frontend development.

Beautiful terminal text formatting library for Python. Renders rich text with markup, tables, syntax-highlighted code, progress bars, spinners, trees, panels, and live-updating displays. Created by Will McGuire (Textualize). Used by pip, Ansible, and hundreds of popular Python CLI tools. Automatic color detection and graceful degradation in non-color terminals.

MCP server that enables spec-driven code generation workflows. Allows AI agents to generate code from specifications, manage spec documents, validate implementations against specs, and enforce specification-first development patterns. Bridges the gap between written specifications and code generation in AI-assisted development workflows.

Cross-platform environment variable setter for npm scripts. Allows setting environment variables in package.json scripts that work consistently on Unix (macOS, Linux) and Windows. On Unix, 'NODE_ENV=production node app.js' works natively; on Windows it doesn't. cross-env solves this: 'cross-env NODE_ENV=production node app.js' works on all platforms. Created by Kent C. Dodds. Now in maintenance mode — covered by native solutions on modern platforms.

The official npm semantic versioning library for Node.js. Parses, validates, compares, and performs range matching on semver version strings. Implements the full Semantic Versioning 2.0.0 spec — handles major.minor.patch, pre-release tags, build metadata, and range operators (^, ~, >=, etc.). Used by npm, yarn, pnpm, and every package manager ecosystem tool to resolve dependency version constraints.

MCP server providing access to shadcn-svelte — the Svelte port of shadcn/ui, a collection of reusable Tailwind CSS components. Enables AI coding agents to query shadcn-svelte component documentation, retrieve component code, discover available components, and support AI-assisted Svelte frontend development with shadcn components.