AmazingMCP — MCP Server for .NET / C# Codebases

An MCP server that gives AI agents deep understanding of C# codebases via Roslyn — type search, dependency graphs, usage analysis, and architecture overviews, all from a live in-memory compilation.

AmazingMCP — MCP Server for .NET / C# Codebases

An MCP server that gives AI agents deep understanding of C# codebases via Roslyn — type search, dependency graphs, usage analysis, and architecture overviews, all from a live in-memory compilation.

dotnet tool install -g HoldMyCoolantMeatbag.AmazingMCP

- One server, any number of solutions— start it once and point it at any project per call, no restart needed when switching between solutions.
- Live in-memory compilation— opens.sln/.slnxvia MSBuild Workspaces and compiles all projects in memory. All tools run against a real Roslyn semantic model, not text search.
- Incremental cache— workspace is cached with file watchers..cschanges trigger incremental recompilation;.csproj/.slnchanges invalidate the full cache. First call per solution is slow; subsequent calls are instant.
- NuGet-aware— NuGet types are fully resolved and searchable alongside source types.query_symbol,get_type_details, anddecompile_typework on any referenced package.

AmazingMCP <options> # example: AmazingMCP --urls=http://localhost:7777 --Symbol:QueryOutputLineLimit=50 --ReadCs:ReadOutputMaxLength=50000 # see all options: AmazingMCP --help

The server starts onhttp://localhost:7777by default.

Add to your MCP client config (Claude Desktop, JetBrains AI, Kiro, etc.):

{ "mcpServers": { "AmazingMCP": { "type": "http", "url": "http://localhost:7777" } } }

Then start the server manually in your terminal:

AmazingMCP --urls=http://localhost:7777 <other options>

Or add a launcher entry so the client starts the server automatically:

{ "mcpServers": { "AmazingMCP": { "type": "http", "url": "http://localhost:7777" }, "AmazingMCP Launcher": { "command": "AmazingMCP", "args": ["--urls=http://localhost:7777"] } } }

- Changelog
- QuerySymbol — type and member search
- QueryUsages — usage search
- CodeLens — type resolution for a code span
- FileStructure — token-efficient file reading
- DecompileType — NuGet assembly decompilation
- ProjectDesign — architecture overview tool
- DependencyMap — dependency map

git clone https://github.com/remleo/AmazingMCP cd AmazingMCP dotnet build dotnet test

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