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- **[HackMD](https://github.com/yuna0x0/hackmd-mcp)** - A Model Context Protocol server for integrating [HackMD](https://hackmd.io)'s note-taking platform with AI assistants.
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- **[AniList](https://github.com/yuna0x0/anilist-mcp)** - AniList MCP server for accessing AniList API data
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- **[FileScopeMCP](https://github.com/admica/FileScopeMCP)** - Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages, Python, Lua, C, C++, Rust, Zig.
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- **[Todoist](https://github.com/stanislavlysenko0912/todoist-mcp-server)** - Full implementation of Todoist Rest API for MCP server
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- **[APISIX-MCP](https://github.com/api7/apisix-mcp)** - APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API, supporting querying and managing all resources in [Apache APISIX](https://github.com/apache/apisix).
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- **[GDB](https://github.com/pansila/mcp_server_gdb)** - A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities with AI assistants.
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- **[DeepView MCP](https://github.com/ai-1st/deepview-mcp)** - Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's 1M context window.
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