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"Convert Unicode to Characters" matching MCP servers:

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    Enables conversion of coding agent sessions between Claude Code, Codex CLI, and OpenCode, including full support for OpenCode's SQLite storage.
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    MIT
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    Local-first MCP server for agent skills. Validate, lint, diff, and convert agent skill files across Cursor, Claude, Kiro, Windsurf, VS Code, and Amazon Q — no account required. Optional cloud sync with ModelBound.
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    An MCP server leveraging the Rust-based ty type checker to provide AI models with high-performance, semantic Python code analysis and structural navigation. It enables precise symbol searching, cross-file renaming, and diagnostic reporting to improve code understanding and editing accuracy.
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    MIT
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    Enables engineers to convert antenna papers/diagrams and natural language specs into auditable, versionable HFSS Python modeling code, with optional simulation and parametric optimization.
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    MIT
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    Turn the AI you already use into a game studio. Describe a game and Claude or Cursor builds it as a real 3D browser game: playable immediately, hosted on its own link, shareable with anyone. No engine, no build step, no code knowledge, nothing to export. Your AI ships the whole thing: it pulls free 3D assets, rigs characters, and playtests its own build until the game works. Free to start.
    MIT
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    An MCP server that provides TypeScript 7 native language server capabilities (go to definition, find references, hover types, diagnostics) to coding agents, using the Go-based tsc compiler for fast and accurate semantic analysis.
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    MIT
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    Wraps OpenAI's Codex CLI as an MCP server, enabling AI clients like KiloCode, Roo Code, and Cline to leverage Codex for code generation, debugging, and analysis through natural language.
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    MIT
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    Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.
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    Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.
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    MIT