"CSS Modules" matching MCP servers:

MCP server for programmatic read-only access to RiseUp cashflow data, allowing AI assistants to retrieve budget information via natural language.

Drives the browser you are already signed into, so work behind a login, SSO or MFA needs no scripted auth. A local stdio MCP server talking to the free T3rnel Browser extension over a native-messaging relay. 14 tools standalone; 101 with the extension — CSS-as-component export, full-page capture, React inspector, network and console capture, form filling, record and replay. Nothing hosted.

Contract-first programming language with a local MCP server for checking types, effects, capabilities, and contracts in agent-written modules. Its review tool compares before and after source sets and returns receipts for new authority, weaker promise tiers, and new Guarded runtime obligations.

Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.

MCP server for microservices.sh that enables planning, inspecting, composing, validating, and deploying microservices modules and templates with preview deployments.

Enables AI agents to browse and teach the Deep Learning DIY course, providing access to modules, notebooks, transcripts, quizzes, slides, and homework via MCP tools.

Enables AI clients to connect to a selected website via OAuth, send ready-to-use static HTML packages, read and edit text, CSS, and JavaScript with preview, and manage pending updates without automatic publishing.

Provides an MCP knowledge base and tools for porting LuneOS to Android devices, covering kernel porting, boot images, GSI building, Yocto bring-up, nyx-modules, and a staged debugging playbook.

Enables local MCP access to both Skilljar REST APIs (v1 and v2), reproducing the official 73-tool v2 surface and adding v1-only capabilities such as per-lesson progress, webhooks, asset upload, commerce, learning paths, and instructor-led training. Keeps credentials on your machine via stdio transport.

Uindow ships a local MCP server (npx -y @uindow/cli mcp, stdio) that lets Claude, Cursor, VS Code, or any MCP client drive a real signed Chromium/Electron browser with genuine OS-level input. Tools exposed: app_docs, app_start, app_stop, app_status, list, create, update, delete, start, stop, status, execute, logs.

A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.

Provides AI ingress governance by masking prompts, classifying risk, and enforcing tool policies before agent calls reach model providers or sandboxes.

Converts any URL to clean, token-efficient Markdown for AI agents. Strips ads, navigation, and scripts. Supports CSS selectors, batch processing (10 URLs), token counting, and smart caching.

It turns natural-language requests into Microlink calls: take screenshots, generate PDFs, extract metadata or readable text, detect video/audio sources, run Lighthouse audits, scrape custom fields with CSS selectors and more

Builds and edits real websites from your coding agent: create a site from a template, rewrite sections, add and link pages, insert blocks, keep reusable symbols in sync, screenshot any viewport, and export static HTML/CSS/JS. Drives an open Swebsy Studio tab in your browser over a local 127.0.0.1 WebSocket relay — no account, no API key, and no per-token AI fees.

Scrape any webpage and return clean markdown, HTML, or structured JSON. Bypasses anti-bot protection, renders JavaScript (React/Vue/Angular), supports premium residential proxies and CSS extraction. Works with any MCP client — no local install required.

Enables AI agents to onboard restaurant brands and manage Crave menus, storefronts, and mobile releases via natural language.

Enables AI assistants to interact with self-hosted Dynatrace Managed environments to retrieve observability data, security insights, and performance metrics. It allows users to query problems, logs, events, and SLOs through natural language interfaces in both local and remote modes.

Model Context Protocol (MCP) integration for managing content in the DevHub CMS system (blog posts, content, location administration)

MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content