"Recommendations for MCP with Encapsulated UI Component Library" matching MCP servers:

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 deploying a remote MCP server on Cloudflare Workers without authentication, allowing customization of tools for AI interaction.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

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

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.

Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.

MCP FOR ITSM TOOL INTEGRATION

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

Enables remote MCP connections with GitHub OAuth authentication, providing tools like add, userInfoOctokit, and image generation (restricted) deployed on Cloudflare Workers.

Enables read-only querying of Snowflake databases through Claude, supporting multiple authentication methods and SQL operations like SELECT, SHOW, DESCRIBE.

A quickstart template for building and deploying secure, remote MCP servers to the cloud using Azure Functions and Node.js/TypeScript. It features integrated blob storage for snippet management and supports advanced security options like OAuth and VNET isolation.

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 remote MCP server deployed on Cloudflare Workers without authentication, enabling tool usage via SSE from clients like Cloudflare AI Playground and Claude Desktop.

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.

A Cloudflare Workers-based MCP server implementation that supports OAuth login and bearer token authentication, allowing secure connection from MCP clients like Claude Desktop and the MCP Inspector.

A remote Model Context Protocol server that runs on Cloudflare Workers without requiring authentication, allowing users to deploy and connect custom AI tools to clients like Claude Desktop and Cloudflare AI Playground.