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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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    MIT
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    Headless MCP server for Eclipse MAT that enables analyzing Java heap dumps using built-in commands, OQL queries, and predefined reports.
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    Apache 2.0
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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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    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.
    Apache 2.0
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    A context-efficient GitHub MCP server designed for AI agents to manage repositories, issues, pull requests, and actions directly via cloud workflows. It focuses on a compact tool surface to minimize context waste while providing comprehensive read and write coverage without requiring a local Git CLI.
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    Generates customized, production-grade MCP servers for Rocket.Chat by selecting only the specific API endpoints needed for a project to minimize context bloat and token usage. It uses natural language processing to parse official OpenAPI specs and automatically create optimized TypeScript servers with built-in authentication and tests.
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    Validates, formats, and generates SQL objects following BSG Institute standardization rules, integrated with Claude Code.
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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.
    6