"Building Visually Appealing, Modern Websites Using React with Trending UI Designs" matching MCP servers:

Serves coding agents the annotations users leave on elements of a running dev app, including the element selector, DOM context, component name and exact source file:line. Agents can list and watch for pending feedback, link a page to their repository, and acknowledge, reply to, resolve or dismiss each annotation so the thread resolves on the page.

Enables MCP agents to drive a running web application by registering schema-validated actions and using a WebSocket relay, with ten ui_* MCP tools for invoking actions, reading state, screenshots, and tab management.

Enables developers to host an MCP server over Streamable HTTP on Node with corrected response framing, client elicitation capability reporting, and lightweight SSE parsing for progress and mid-stream elicitation events.

A full-stack template for building Model Context Protocol (MCP) servers with a modern React frontend, allowing developers to create AI agent tools and workflows while providing a beautiful web interface.

Lets a human review what an AI agent is about to post to a chat tool (Slack first) before it is sent. Renders the draft, destination and warnings (@here/@channel, unresolved mentions, format issues) in a neutral local HTML preview; never sends anything.

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 Microsoft Foundry agents to securely access Microsoft Graph and SharePoint via Entra ID authentication and OBO, offering diagnostic tools like user info and SharePoint probes through a reusable toolset architecture.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.

An MCP server that integrates Alibaba's DashScope platform, providing AI chat tools and resource access through both standard stdio and a web-based interface. It allows users to interact with DashScope large models within the Model Context Protocol ecosystem using TypeScript.

A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

Exposes the agent's sandboxed file tool over stdio so any MCP client can retrieve the contents of a UTF-8 text file inside the working directory, with failures returned as recoverable error strings instead of exceptions. It lets the same ReAct loop swap in-process dispatch for an MCP hop without changing tool signatures.

An MCP server using Google's Agent Development Kit with multiple specialized agents (search, data analysis, code generation) coordinated by an LLM-based router for intelligent request handling.

A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.

An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.

Enables developers to build and deploy custom tool, resource, and prompt integrations to the cloud using serverless functions, with local debugging and built-in authentication.

A small MCP server that lets Claude (or any MCP client) ask other models what they think.

A public-safe research prototype for controlling AI-agent tool actions with deterministic policy, risk-based human approval, time-bound authorization and a tamper-evident audit chain.

Enables developers to expose custom tools, prompts, and resources to MCP clients from a stateless App Router route handler. Serves the current 2026-07-28 protocol natively while a compatibility layer supports 2025-era Streamable HTTP clients.

Enables coding agents like Codex to use the ChatGPT web app as a planning and review brain, letting ChatGPT read only needed code via OAuth MCP and submit locally authorized tasks without API keys or repository uploads.

Enables coordinating two coding agents through a shared SQLite task pool with an explicit review workflow, allowing agents to query, claim, submit, review, and approve or reject tasks while enforcing reviewer and iteration safeguards.

Enables the ChatGPT web app to securely read selected files, git state, and test output from a local workspace through OAuth-protected read-only MCP tools, so TeleAgent retains full execution control.

Enables an interactive Claude Code session to delegate blocking tasks to headless pi and OpenCode workers, and lets all three peers exchange messages and list paired sessions over a shared local file bus. It exposes 18 tools covering sync/async asks, steering, abort, session lifecycle, state inspection, and cross-agent messaging.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

Enables two AI coding agents sharing a single git checkout to coordinate by claiming files, posting and reading intent on an append-only board, and inspecting real git diffs so they avoid silent collisions. Also serves a local dashboard for watching both agents' claims, working tree, board entries, and commits.

MCP server providing tools for entity extraction, query refinement, and relevance checking to build Agentic RAG applications.

A Node.js-based remote Model Context Protocol (MCP) server that runs on Azure Container Apps, allowing different AI models and tools to communicate with each other in a serverless environment.

A system integrating two independent MCP servers for Google Calendar and Google Tasks APIs, orchestrated by an LLM agent loop with a web dashboard.

A simple Nuxt application that serves as a Model Context Protocol server deployable on Vercel, allowing developers to implement AI tools, prompts, and resources through the MCP TypeScript SDK.