"Popular and recently updated MCP servers compatible with VS Code" matching MCP servers:

A bridge that enables AI assistants to connect to VS Code's debugger, allowing them to interact with and control debugging sessions through websocket connections.

MCP server that integrates with VS Code to enable file operations, git diffs, and line highlighting via MCP clients like Claude.

Controls Visual Studio 2022 through MCP using COM/DTE automation, enabling file management, building, debugging, and breakpoint operations directly from Claude Code.

Token-safe code search for AI agents: queries the language-server index (clangd / Roslyn / tsserver / pyright) instead of grep and returns a token-capped file:line list — ~20x fewer tokens. Symbol-level editing + a grep→index rewrite hook. Local-only, no IDE.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

Provides AI assistants with VS Code integration for file operations, command execution, project analysis, and development workflow automation.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables external agents to run, edit, create, and manage the Jupyter notebook the user is actively editing in VS Code, headlessly and without approval dialogs. Works with any MCP client and is Jupyter-optional for document operations.

MCP servers for real-time development monitoring and interactive pair programming.

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

Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.

Enables GPT Desktop to interact with local file systems and execute shell commands. Supports file operations (read, write, edit, delete), directory management, file search, and git status checks through natural language.

Enables AI assistants to programmatically read, update, and manage Visual Studio Code settings across user and workspace scopes. It provides cross-platform support for automating VS Code configuration through the Model Context Protocol.

Enables file operations (PDF, Office, images, archives, media) through natural language, with tools for reading, writing, converting, and analyzing files locally.

A model context protocol server for Deepin Linux, providing system control, file management, web search, browser automation, and Git operations.

Enables geospatial operations such as geocoding, routing, map visualization, satellite imagery, and weather data through a unified MCP interface, making Earth data accessible to non-programmers.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.

embedded code search engine CLI -AST based that just works - improves speed and efficiency for coding agent