MCP AI Server for Visual Studio

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

The first and only Visual Studio extension that gives AI assistants access to the C# compiler (Roslyn) through the Model Context Protocol. 20 tools. 12 powered by Roslyn. 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

Click to watch on YouTube

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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 as MCP tools. Your AI assistant gets the same semantic understanding that powers F12 (Go to Definition), Shift+F12 (Find All References), and safe refactoring.

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

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20 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)

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
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

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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

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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/"
}

5. Start asking your AI semantic questions about your code

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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.

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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.

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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/"]

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Settings

Tools → MCP Server 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.

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vs. Other Approaches

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

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Requirements

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

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Issues & Feature Requests

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

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About

0ics srl — Italian software company specializing in AI-powered development tools.

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

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