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Enables Large Language Models to interact with Kafka event streams using the Model Context Protocol.
Enables execution of Babashka code through Model Context Protocol (MCP) tools.
Bridges local MCP clients, like Claude Desktop, with remote MCP Servers via standard input/output.
Connects WhatsApp to AI LLM clients, enabling natural language control over messages, groups, and campaigns.
Integrates with the US National Weather Service to provide real-time weather data and alerts through a simple API.
Enables large language models to acquire precise network time through NTP.
Facilitates the creation of Model Context Protocol (MCP) servers for seamless integration with custom REST APIs, offering robust authentication and error handling.
Converts hexadecimal color codes to their closest matching CSS color names.
Generates short personalized greeting messages through a minimal Model Context Protocol (MCP) server.
Integrates Equinix APIs and documentation into a Model Context Protocol (MCP) server for local experimentation and learning.
Provides an MCP server to integrate the Rexi API, offering structured tools and resources for AI assistants.
Provides active US National Weather Service alerts by state and short-term point forecasts for latitude/longitude coordinates.
Provides AI agents with real-time access to comprehensive information on Korean listed companies, including financial statements, public disclosures, and executive details.
Provides a comprehensive Model Context Protocol (MCP) server offering a suite of calculator tools, documentation resources, and customizable prompt templates, supporting both stdio and SSE transports.
Provides AI assistants with access to official W3C, WHATWG, and IETF web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.
Exposes local Markdown documentation libraries directly to AI assistants via the Model Context Protocol.
Manages outbound webhooks for AI agents, enabling event-driven delivery, tracking, and automatic retries for secure platform integration.
Queries Polymarket prediction market data through The Graph subgraphs, exposing tools for AI agents.
Connects large language models to clinical FHIR R4 data with robust governance, CDS Hooks, and multi-persona outputs.
Empowers AI agents with robust web search and content extraction capabilities.
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