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⇱ FiveM C# Development with AI-Enhanced Codebase Understanding and Reasoning | Glama

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FiveM C# Development with AI-Enhanced Codebase Understanding and Reasoning

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  • Why this server?

    Directly provides documentation and search for FiveM development, covering native functions, QBCore events, and ox_lib exports.

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    Provides documentation lookup and search capabilities for FiveM development, including GTA V native functions, QBCore events, and ox_lib exports. Enables developers to query documentation and generate resource templates through natural language.
    Last updated

  • Why this server?

    Roslyn-powered for C# codebase navigation by symbol, call graph, and architectural facts, enhancing codebase understanding.

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    CodeMap is a Roslyn-powered MCP server that lets AI agents navigate C# codebases by symbol, call graph, and architectural fact, instead of brute-force reading thousands of lines of source code. One tool call. Precise answer. No context flood.
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    8

  • Why this server?

    Empowers AI to understand .NET/C# codebases deeply, improving code suggestions and answers.

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    NetContextServer empowers AI coding assistants like Cursor AI to deeply understand your .NET codebase through the Model Context Protocol (MCP). This means more accurate code suggestions, better answers to your questions, and a more productive coding experience.
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    MIT

  • Why this server?

    Provides 62 AI-optimized tools for C# semantic code analysis, navigation, refactoring, and generation using Roslyn.

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    A Model Context Protocol (MCP) server providing 62 AI-optimized tools for .NET/C# semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn. Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone.
    Last updated
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    MIT

  • Why this server?

    Indexes C# codebases into a graph for deep structural insights like inheritance and call chains, aiding code understanding.

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    Synapse indexes C# codebases into a FalkorDB-backed graph to provide deep structural insights including inheritance, interface implementations, and call chains. It enables AI assistants to query code architecture and navigate symbol relationships using an LSP-powered MCP server.
    Last updated
    2
    MIT

  • Why this server?

    Fully featured coding agent using symbolic operations for large codebases, enhancing AI reasoning and code structuring.

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    A fully featured coding agent that uses symbolic operations (enabled by language servers) and works well even in large code bases. Essentially a free to use alternative to Cursor and Windsurf Agents, Cline, Roo Code and others.
    Last updated
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    25,478

  • Why this server?

    Enables code analysis through semantic search, call graph generation, and function metadata extraction for understanding complex structures.

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    Enables AI assistants to analyze codebases through semantic search, call graph generation, and function metadata extraction. Provides real-time code analysis with persistent vector storage for understanding complex code structures and relationships.
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    4

  • Why this server?

    Multi-agent system that spawns specialized AI agents in parallel to solve complex coding problems, enhancing reasoning and decision-making.

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    Multi-Agent Mesh Network MCP server that spawns specialized AI agents working in parallel to solve complex coding problems, providing 3.64x faster performance through distributed intelligence.
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    MIT

  • Why this server?

    Multi-agent AI for code development with architecture planning and code analysis, improving code structuring abilities.

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    Multi-agent AI system for code development with orchestration, architecture planning, code analysis, semantic knowledge search, and intelligent debugging capabilities powered by SurrealDB and Groq.
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    MIT