"A server for Linux-based systems" matching MCP servers:

A code review tool server based on Model Context Protocol (MCP) providing multi-dimensional code review and scoring.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

A FastMCP-based server that provides secure sandboxed filesystem operations, API integration tools, and curated reasoning prompts for analysis and productivity tasks.

A stdio-based MCP server for fast, bounded search and navigation of large code repositories using ripgrep, with tools for project-wide search, symbol lookup, file listing, and code reading.

A production-grade FastAPI-based MCP server for career-oriented tools, currently exposing GitHub integration (profile, repos, pinned, search, rate limits) to LLM clients via the Model Context Protocol.

A Model Context Protocol server for Neovim that provides LSP-based symbol tools, enabling AI language models to perform code analysis and manipulation such as symbol lookup, renaming, and body replacement via Neovim's built-in LSP.

A Node.js-based FastMCP protocol server that integrates DeepSeek AI capabilities for intelligent conversations and code analysis, providing tool invocation abilities through the MCP protocol.

Enables AI assistants to interact with VS Code for language intelligence, debugging, and code execution.

A Model Context Protocol (MCP) server that provides intelligent, context-aware access to development standards, enabling LLMs to automatically select and apply appropriate standards based on project requirements.

A TypeScript-based MCP server that enables code search, file reading, and project management via the GitLab API.

A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.

An MCP server that performs code reviews by comparing local source code against design documents stored in Confluence. It integrates with Atlassian MCP servers to analyze documentation and provide suggestions for quality improvement based on design specifications.

An MCP server designed for SQL analysis that demonstrates sampling capabilities by interacting with SQL files in a local directory. It provides a framework for testing client-side sampling while managing SQL-based contexts.

Local MCP server for static Python/TypeScript code audits, Playwright test generation, and SDLC health checks with a 0-100 quality score.

MCP server for AI-assisted development on the Lampa open-source TV app, providing read-only access to the source tree with 41 tools and 5 resources for structured analysis, planning, editing, and validation.

Enables AI coding agents to list, read, create, update, delete, and render PlantUML and Mermaid diagrams, and check them against the actual codebase to detect architecture drift.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

Enables AI coding tools to run CheckMyLaunch scans on GitHub repos or live URLs and retrieve findings and repair prompts directly within the chat.

Enables AI agents to search Minecraft obfuscated name mappings (class, method, field) across 38 versions, aiding modding, plugin development, and reflection.