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    An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.
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    MIT
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    Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.
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    Shared research cache for AI agents. Caches web research across sessions and users - hit means instant answer from verified sources, miss means your research saves the next dev's tokens. Semantic search with freshness tracking, gap detection, and real-time token measurement via JSONL. Free, open source.
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    AGPL 3.0
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    Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.
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    Enables AI agents to build React applications using JP Morgan Chase's Salt Design System by providing real-time access to component APIs, documentation, and accessibility guidelines. It supports tasks such as scaffolding new projects, building UI patterns, and converting Figma designs into Salt code via the Model Context Protocol.
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    A Context-as-a-Service MCP server that maintains structured, graph-based context for Shopify apps by extracting and summarizing data from web sources and help centers. It enables multi-agent systems to retrieve isolated, provenance-backed context slices or starter bundles via push and pull mechanisms.
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    A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. It enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights.
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    MIT
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    Bridges Cursor and Claude Desktop with the OpenClaw and Moltbook ecosystems to manage personal AI agents and communication gateways across platforms like WhatsApp and Discord. It provides MCP tools to invoke agents, manage sessions, and handle social agent interactions within a secure, virtualized environment.
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    MIT
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    A unified MCP server that connects AI assistants to multiple fitness services (Hevy, Strava, Cronometer, Intervals.icu) through a single secure endpoint, enabling workout, nutrition, and activity data access.
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    MIT
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    MCP server that gives AI agents access to your Maus clipboard on macOS, enabling them to write clean text into history, search, and manage clipboard items locally.
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    MIT
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    MCP server for EG4 solar inverters, enabling real-time monitoring, performance analysis, battery health, alerts, maintenance insights, and historical data via natural language.
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    MIT
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    Enables cataloging and managing personal inventory (items, attachments) through natural language, allowing users to add, search, update, and retrieve item details and attachments via MCP tools.
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    MIT
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    Provides access to over 500 pre-configured YAML templates and guided workflows for fine-tuning, training, and evaluating LLMs like Llama and DeepSeek. It enables AI assistants to search for recipes, retrieve configurations, and validate parameters for various machine learning tasks.
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    Apache 2.0
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    MCP server for analyzing Clay tables — schema, rows, errors, and enrichment debugging, using the internal Clay API to enable AI assistants to understand and debug Clay tables.
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