"FiveM C# Development with AI-Enhanced Codebase Understanding and Reasoning" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

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.

Enables MCP-based hybrid semantic code search over repositories, providing tools for searching code by meaning or keyword, retrieving symbol definitions, finding usages, reading chunks, and listing indexed repos.

Enables hybrid and reranked semantic search across a repository's source code, documentation, and GitHub issues.

A semantic codebase indexer MCP server that chunks source code, generates embeddings via Ollama, and stores them in Qdrant for natural-language code search.

Enables codebase indexing and searching with symbolic and full-text search, supporting multiple programming languages, designed to work on any architecture including ARM64.

Enables AI language models to interact with YouTube content through the YouTube Data API, including retrieving video details, transcripts, channel information, playlists, and searching videos with enhanced responses that include direct URLs.

A self-hosted MCP server that gives LLMs intelligent, semantic access to your codebase, enabling code search, recent changes, and function explanation.

Enables AI agents to index, search, and retrieve architectural documentation and store self-learning notes from codebases.

An enhanced memory management system that wraps memento-mcp with sophisticated features including protocol enforcement, quality scoring, hybrid search strategies, and synthesis reports. Enables intelligent memory storage, retrieval, and analysis with automatic archival and confidence tracking.

Exposes code search and file reading tools over the Model Context Protocol, enabling any MCP-compatible client to query a codebase with natural language.

Provides semantic vector search over local codebases via MCP, enabling hybrid search (dense + sparse + RRF) for any MCP client like GitHub Copilot or Claude Desktop.

Enables AI to search, filter, and process CNKI academic literature through natural language, including structured search, metadata retrieval, full-text reading, citation export, and PDF/CAJ download.

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

An MCP server optimized for Chinese users that enables AI models to perform Bing searches and fetch webpage content without requiring an API key. It provides specialized tools for searching and scraping web data directly through supported AI environments like Claude or Cursor.

A high-performance memory management system for AI agents with 200+ tools including 4-tier memory architecture, advanced RAG pipeline, and Git-like versioning.

Enables semantic search over transcribed C++ lecture fragments with clickable YouTube timestamps, allowing users to retrieve and cite specific moments from the videos.

Enables comprehensive YouTube data extraction and analysis using yt-dlp, including video metadata, channel statistics, playlists, comments, transcripts, search, trending videos, and engagement analytics with intelligent caching and batch processing.

A Model Context Protocol server that enables web search with category support, website content scraping with citation metadata, and timezone-aware date/time tools.

Enables AI agents on Windows to perform millisecond-level file searches across entire drives via voidtools Everything, with path scoping, noise filtering, and token-efficient output.