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    Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.
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    MIT
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    Exposes rate-limit and usage data for AI coding agent CLIs as MCP tools, enabling querying of usage snapshots and reset times.
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    Reads local LINE chat history from your own computer and summarizes daily conversations through Claude Code, extracting decryption keys from LINE's memory on Windows.
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    This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.
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    MIT
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    A proxy server that enables AI assistants to run and interact with command-line applications like Expo through the Model Context Protocol (MCP), capturing logs and allowing keypress forwarding.
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    MIT
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    A macOS MCP server for LINE that reads encrypted local database snapshots to fetch chat history and sends messages via LINE UI without cursor movement.
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    MIT
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    Enables AI tools to read and send messages through LINE Desktop via MCP, supporting manual or automatic sending without official LINE API tokens.
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    MIT
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    Enables sending LINE messages (push, multicast, broadcast), retrieving user profiles, checking quotas, and sending flex messages via Claude using the LINE Messaging API.
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    MCP server for interfacing with the official Model Context Protocol registry. Enables Claude and other MCP clients to dynamically discover, browse, search, and manage MCP servers directly from GitHub.
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