"MCP servers for Selenium with TypeScript" matching MCP servers:

Provides a tool to fetch real-time cryptocurrency prices from the Binance API and logs server activity to file resources. It allows users to query crypto symbols and monitor MCP interactions through natural language interfaces.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

A starter template for building remote Model Context Protocol servers using TypeScript, providing modern tooling and best practices while leveraging the MCP TypeScript SDK.

A production-ready Model Context Protocol server built with Node.js and TypeScript, providing tool-based execution with input validation and error handling.

A Model Context Protocol server that provides web content fetching and conversion capabilities.

A minimal MCP server that provides a health check (server_info) and multi-language greeting (greet) tools, built with TypeScript and the official SDK.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Enables authenticated user profile retrieval via the 'whoami' tool, using OAuth2 and Asgardeo.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A demonstration MCP server built in TypeScript that shows how to implement stdio-based communication for integration with MCP clients. Serves as a template for building custom MCP servers with strong typing and maintainability.

Enables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.

Enables OAuth2-authenticated clients to search and read on-premises Exchange mail, download attachments, manage drafts and confirmed sending, update read flags, move messages, look up directory entries, and access personal calendar events through EWS, with LiteLLM integration.

A production-ready MCP server for Vercel Serverless Functions using Streamable HTTP Transport, offering built-in tools for calculations, text analysis, and time utilities, with easy deployment to Vercel.

MCP server for crawling and extracting data from web pages using Selenium with CSS/XPath selectors. Supports 17 tools including smart extraction, pagination, infinite scroll, and screenshots.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

A free WordPress plugin that turns your site into a governed MCP server, exposing 153 curated WordPress abilities (posts, media, users, WooCommerce, ACF, SEO) as tools for AI agents like Claude and Cursor. Every ability is off by default, scoped to a least-privilege user, capability-gated, and logged.

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

A standalone remote MCP server that lets AI clients read, search, post, schedule, and manage messages and files in Mattermost as each individual user through per-user OAuth, without requiring a plugin or Enterprise license. It keeps each user's Mattermost tokens server-side, enforces per-user permissions and API limits, and ships guard rails against duplicate or unintended posts.

Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.

Gives Claude read-only access to your own ring's health data — sleep, readiness, HRV, heart rate, activity, workouts, stress, resilience, SpO2, VO2 max and cardiovascular age — from claude.ai, desktop, and mobile. Runs as a private remote server on your own Cloudflare Worker, locked to a single account with OAuth-encrypted tokens and no stored health data.

Enables ChatGPT and Codex to interact with Zoho Mail through Zoho's official MCP service, with safe workflows and capability boundaries.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.