MCP Ai server for Visual Studio

- Claude Code— Anthropic's terminal AI coding agent
- Codex CLI— OpenAI's terminal coding agent
- Gemini CLI— Google's open-source terminal agent
- OpenCode— Open-source AI coding agent (45k+ GitHub stars)
- Goose— Block's open-source AI agent
- Aider— AI pair programming in terminal

- Claude Desktop— Anthropic's desktop app
- Cursor— AI-first code editor
- Windsurf— Codeium's AI IDE
- VS Code + Copilot— GitHub Copilot with MCP
- Cline— VS Code extension
- Continue— Open-source AI assistant

"vs-mcp": { "type": "http", "url": "http://localhost:3010/sdk/" }

- Startasking your AI semantic questions about your code

Add these instructions to your project's AI config file (see table above) to ensure your AIautomaticallyprefers MCP tools:

## MCP Tools - ALWAYS PREFER When mcp__vs-mcp__ tools are available, ALWAYS use them instead of Grep/Glob/LS: | Instead of | Use | |------------|-----| | Grep for symbols | FindSymbols, FindSymbolUsages | | LS to explore projects | GetSolutionTree | | Reading files to find code | FindSymbolDefinition then Read | | Searching for method calls | GetMethodCallers, GetMethodCalls | Why? MCP tools use Roslyn semantic analysis - 10x faster, 90% fewer tokens.

Your project → port 3010 Library source (cloned from GitHub) → port 3011 Framework source → port 3012

{ "mcpServers": { "vs-mcp": { "type": "http", "url": "http://localhost:3010/sdk/" }, "vs-mcp-whisper": { "type": "http", "url": "http://localhost:3011/sdk/" } } }

MCP AI Server: Because your AI deserves the same intelligence as your IDE.*

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

A stateful LSP runtime for AI agents: warm language server sessions with 50+ tools for go-to-definition, find-references, diagnostics, rename, and more across 30+ languages.

MCP server that gives coding agents program-analysis primitives — data flow, call graphs, taint analysis — so they reason from ground truth instead of grep-and-guess. (same as the GitHub About — keeps your messaging consistent across the web).

An MCP service that equips your workspace with a complete set of AI-accessible development tools for reading, editing, executing, and managing code.

Multi-language code-graph MCP server with 18 tools (find_symbol, callers, callees, blast_radius, dataflow_trace) for AI assistants — local-first, no API key required, ~3× fewer tokens than Claude+grep at the same correctness.

A tool for safely executing local Python code without requiring external data files.

AI-to-AI code review platform — Claude, Codex, and Gemini cross-check each other via MCP, REST API, and CLI for consensus-based results.

Persistent code index using Tree-sitter for fast, precise code search. Replaces grep with ~50 token responses instead of 2000+.

AI-powered code quality analysis to detect best practice violations, security issues, and architectural problems in real-time.

Orchestrates a dual-AI engineering loop where a Primary AI plans and implements, while a Review AI validates and reviews, with continuous feedback for optimal code quality. Supports custom AI pairing (Claude, Codex, Gemini, etc.)

AmazingMCP — MCP Server for .NET / C# Codebases