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Enables AI assistants to query and retrieve information from Amazon Bedrock Knowledge Base using the Retrieve API, returning search results with content, location, and relevance scores.

Enables interaction with Kogna's multi-agent AI avatar system, allowing users to start conversations, switch between specialized avatars and rooms, and manage conversation history through natural language.

Provides a structured interface to the Japanese National Diet Library's parliamentary proceedings API, allowing AI models to search and retrieve Diet meeting records and speeches.

Search, organize, and chat with your saved Twitter/X bookmarks from any AI agent. 10 tools: search, AI Q&A, collections, notes, highlights, and more.

Kubernetes MCP 48b3072a

全面解析KubernetesMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Kubernetes能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

The world's cultural intelligence infrastructure layer. Kultur.dev gives every AI agent the ability to understand 195 countries' cultural norms, geopolitical sensitivities, Hofstede 6-D dimensions, and business etiquette. 11 MCP tools for cultural risk analysis, content localization, holiday calendars, and adaptive scoring powered by a 645K+ document knowledge base.

Exposes Kunobi's application data and store querying capabilities to AI assistants by bridging stdio to Kunobi's local HTTP MCP endpoint. It features dynamic tool discovery and automatic reconnection to ensure tools like query_store and app_info are always available when Kunobi is running.

Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.

Integrates Laminar workspaces with AI editors to manage workflows, steps, and configuration stores. It allows users to execute, monitor, and debug workflow executions through natural language commands.

A FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.

全面解析Langraph4j Plantuml MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Langraph4j Plantuml MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Analyzes webpage screenshots to extract precise layout information by locating image assets and calculating spatial relationships, enabling AI assistants to accurately recreate layouts with proper semantic structure using computer vision.

Allows AI assistants to search the Library of Congress Subject Headings (LCSH) through a simple API interface, making it easy to query and retrieve official subject headings and related terms.

Ask your AI assistant about LEGO sets, find specific bricks, look up minifigures, browse themes, and compare sets. All backed by Rebrickable's catalog (26k sets, 62k parts, 17k minifigs), not hallucinations.

Enables AI agents to interact with the Leiga project management platform. Supports searching, creating, and managing issues, listing projects, and retrieving user assignments through natural language.

Control AI agents creation and modification via MCP.

Letz AI

全面解析Letz AI MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Letz AI MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to retrieve, create, and update issues, projects, and teams through natural language.

A comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.