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Facilitates AI-powered chat about personal resumes and enables email notifications, ideal for job interviews and demonstrating Model Context Protocol capabilities.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers.
Demonstrates how to create and deploy a simple server adhering to the Model-Context-Protocol (MCP), providing a basic tool for AI clients.
Manages authentication through secure credential management and multi-protocol support.
Creates a small web search agent using Pydantic AI and an agentic coding assistant.
Provides an MCP server for integrating with the Shortcut API to manage user-assigned epics and stories.
Delivers Stoic philosophy quotes with AI-powered explanations via the Model Context Protocol, demonstrating CRUD operations and cloud migration strategies.
Accesses current and historical exchange rates from the Turkish Central Bank (TCMB) with robust caching and holiday support.
Facilitates subtitle search and download functionality by integrating with the OpenSubtitles API, operating on a freemium model.
Provides a Model Context Protocol (MCP) server for accessing mxHERO's high-performance Mail2Cloud Advanced multi-account email search service.
Deploys an Amazon Bedrock AgentCore gateway using AWS CDK, offering secure access to multiple external services via configurable integration targets.
Provides an AI-friendly server for interacting with Hacker News data.
Enables AI agents to seamlessly interact with SkyFi's geospatial data services through a comprehensive RESTful API.
Transforms OpenAPI specifications into executable tools for an MCP server.
Enables AI models to search the web and retrieve up-to-date information using the Tavily API.
Enables xPilot to interface with Language Model Models by implementing Model Context Protocol (MCP) servers.
Orchestrates a fully serverless Bedrock LLM agent, dynamically managing memory and context through Lambda-hosted MCP servers and S3 Vector stores.
Demonstrates building a weather server and client using the fastmcp framework.
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Connects LLMs to Jira Assets data, enabling natural language queries without SQL.
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