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MCP AI Server for Visual Studio

Other tools read your files. MCP AI Server understands your code.

Install from Marketplace VS 2022 Free Tools Website

The first and only Visual Studio extension that gives AI assistants access to the C# compiler (Roslyn) and the Visual Studio Debugger through the Model Context Protocol. 41 tools. 13 powered by Roslyn. 19 debugging tools (Preview). Semantic understanding, not text matching.

Install

Install from Visual Studio Marketplace

Or search for "MCP AI Server" in Visual Studio Extensions Manager.

See it in Action

Watch Demo Video

Click to watch on YouTube


Why MCP AI Server?

AI coding tools (Claude Code, Codex CLI, Gemini CLI, OpenCode, Cursor, Copilot, Windsurf...) operate at the filesystem level — they read text, run grep, execute builds. They don't understand your code the way Visual Studio does.

MCP AI Server bridges this gap by exposing IntelliSense-level intelligence and the Visual Studio Debugger as MCP tools. Your AI assistant gets the same semantic understanding that powers F12 (Go to Definition), Shift+F12 (Find All References), safe refactoring — and now runtime debugging.

What becomes possible:

You ask Without MCP AI Server With MCP AI Server
"Find WhisperFactory" grep returns 47 matches Class, Whisper.net, line 16 — one exact answer
"Rename ProcessDocument" sed breaks ProcessDocumentAsync Roslyn renames 23 call sites safely
"What implements IDocumentService?" Impossible via grep Full inheritance tree with interfaces
"What calls AuthenticateUser?" Text matches, can't tell direction Precise call graph: callers + callees
"Why is ProcessOrder returning null?" Reads code, guesses Sets breakpoint, inspects actual runtime values

22 Stable Tools

Semantic Navigation (Roslyn-powered)

Tool Description
FindSymbols Find classes, methods, properties by name — semantic, not text
FindSymbolDefinition Go to definition (F12 equivalent)
FindSymbolUsages Find all references, compiler-verified (Shift+F12 equivalent)
GetSymbolAtLocation Identify the symbol at a specific line and column
GetDocumentOutline Semantic structure: classes, methods, properties, fields

Code Understanding (Roslyn-powered)

Tool Description
GetInheritance Full type hierarchy: base types, derived types, interfaces
GetMethodCallers Which methods call this method (call graph UP)
GetMethodCalls Which methods this method calls (call graph DOWN)

Code Analysis (Roslyn-powered)

Tool Description
GetDiagnostics Compiler errors & warnings without building — Roslyn background analysis

Refactoring (Roslyn-powered)

Tool Description
RenameSymbol Safe rename across the entire solution — compiler-verified
FormatDocument Visual Studio's native code formatter

Project & Build

Tool Description
ExecuteCommand Build or clean solution/project with structured diagnostics
ExecuteAsyncTest Run tests asynchronously with real-time status
GetSolutionTree Solution and project structure
GetProjectReferences Project dependency graph
LoadSolution Open a .sln/.slnx file — server stays on the same port
TranslatePath Convert paths between Windows and WSL formats

Editor Integration

Tool Description
GetActiveFile Current file and cursor position
GetSelection / CheckSelection Read active text selection
GetLoggingStatus / SetLogLevel Extension diagnostics

19 Debugging Tools (Preview)

Your AI assistant can now debug your .NET code at runtime through the Visual Studio Debugger. Set breakpoints, step through code, inspect variables, attach to Docker containers and WSL processes.

Debug Control (10 tools)

Tool Description
debug_start Start debugging (F5). Fire-and-forget
debug_stop Stop debugging session
debug_get_mode Current mode: Design, Running, or Break
debug_break Pause the running application
debug_continue Resume execution
debug_step Step over/into/out
immediate_execute Execute expression with side effects
debug_list_transports List transports (Default, Docker, WSL, SSH...)
debug_list_processes List processes on a transport
debug_attach Attach to a running process

Debug Inspection (5 tools)

Tool Description
debug_get_callstack Call stack of current thread
debug_get_locals Local variables (tree-navigable)
debug_evaluate Evaluate expression / drill into variable tree
output_read Read VS Output window (Build, Debug, Tests)
error_list_get Errors and warnings from VS Error List

Breakpoint Management (4 tools)

Tool Description
breakpoint_set Set breakpoint by file+line or function name
breakpoint_remove Remove breakpoint
breakpoint_list List all breakpoints
exception_settings_set Configure break-on-exception

AI Debugging Guide

Complete reference for AI agents — all 19 tools, 10 workflows, Docker & WSL setup, polling patterns, and best practices.

Download AI Debugging Guide (.md) — add it to your AI's context for full debugging capabilities.


Compatible Clients

Works with any MCP-compatible AI tool:

CLI Agents:

  • 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

Desktop & IDE:

  • 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

Any MCP client — open protocol, universal compatibility


Quick Start

  1. Install from Visual Studio Marketplace
  2. Open your .NET solution in Visual Studio
  3. Configure port in MCP Server Settings (default: 3010)
  4. Add to your MCP client:
"vs-mcp": {
  "type": "http",
  "url": "http://localhost:3010/sdk/"
}
  1. Start asking your AI semantic questions about your code

MCP Client Configuration

AI Tool Type Config File
Claude Code CLI CLAUDE.md
Claude Desktop App claude_desktop_config.json
Cursor IDE .cursor/rules/*.mdc or .cursorrules
Windsurf IDE .windsurfrules
Cline VS Code Extension .clinerules/ directory
VS Code + Copilot IDE .github/copilot-instructions.md
Continue IDE Extension .continue/config.json
Gemini CLI CLI GEMINI.md
OpenAI Codex CLI CLI AGENTS.md
Goose CLI .goose/config.yaml

Any tool supporting Model Context Protocol will work.


Configure AI Preferences (Recommended)

Add these instructions to your project's AI config file (see table above) to ensure your AI automatically prefers 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.

Multi-Solution: Understand Your Dependencies

Need the AI to understand a library you depend on? Clone the source from GitHub, open it in a second Visual Studio — each instance runs its own MCP server on a configurable port.

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

Your AI connects to all of them. It can trace calls, find usage patterns, and understand inheritance across your code and library code.

MCP client configuration — three options depending on your client:

Clients with native HTTP support (Claude Desktop, Claude Code):

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

Clients without HTTP support (via mcp-remote proxy):

{
  "mcpServers": {
    "vs-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "http://localhost:3010/sdk/"]
    },
    "vs-mcp-whisper": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "http://localhost:3011/sdk/"]
    }
  }
}

Codex CLI (TOML):

[mcp_servers.vs-mcp]
type = "stdio"
command = "npx"
args = ["mcp-remote", "http://localhost:3010/sdk/"]

[mcp_servers.vs-mcp-whisper]
type = "stdio"
command = "npx"
args = ["mcp-remote", "http://localhost:3011/sdk/"]

Settings

ToolsMCP Server Settings

VS-MCP Settings

Setting Default Description
Port 3001 Server port (configurable per VS instance)
Path Format WSL Output as /mnt/c/... or C:\...
Tools All enabled Enable/disable individual tool groups

Changes apply on next server start.


vs. Other Approaches

Approach Symbol Search Inheritance Call Graph Safe Rename Debugging
MCP AI Server (Roslyn + Debugger) Semantic Full tree Callers + Callees Compiler-verified Breakpoints + Step + Inspect
AI Agent (grep/fs) Text match No No Text replace No
Other MCP servers No No No No No

Requirements

  • Visual Studio 2022 (17.13+) or Visual Studio 2026
  • Windows (amd64 or arm64)
  • Any MCP-compatible AI tool

Issues & Feature Requests

Found a bug or have an idea? Open an issue!


About

0ics srl — Italian software company specializing in AI-powered development tools. Part of the example4.ai ecosystem.

Built by Ladislav Sopko — 30 years of software development, from assembler to enterprise .NET.


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

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MCP AI Server - Roslyn-powered MCP server for Visual Studio. 20 tools for AI assistants.

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