MudMCP
Verified Safeby mcbodge
Overview
Provides AI assistants with real-time, structured access to MudBlazor component documentation and code examples via the Model Context Protocol.
Installation
dotnet run --project src/MudBlazor.McpEnvironment Variables
- ASPNETCORE_ENVIRONMENT
- DOTNET_ENVIRONMENT
- DOTNET_DASHBOARD_OTLP_ENDPOINT_URL
- DOTNET_RESOURCE_SERVICE_ENDPOINT_URL
- MudBlazor__Repository__Url
- MudBlazor__Repository__Branch
- MudBlazor__Repository__LocalPath
- MudBlazor__Cache__RefreshIntervalMinutes
- MudBlazor__Cache__ComponentCacheDurationMinutes
- MudBlazor__Cache__ExampleCacheDurationMinutes
- MudBlazor__Parsing__IncludeInternalComponents
- MudBlazor__Parsing__IncludeDeprecatedComponents
- MudBlazor__Parsing__MaxExamplesPerComponent
- Logging__LogLevel__Default
- Logging__LogLevel__MudBlazor_Mcp
- Logging__LogLevel__Microsoft_AspNetCore
- ASPNETCORE_URLS
- OTEL_EXPORTER_OTLP_ENDPOINT
Security Notes
The project uses Roslyn for static analysis of a trusted, external MudBlazor repository, not for executing arbitrary user code. Deployment scripts include robust input validation, path traversal protection, and error handling. No hardcoded secrets were found in the truncated code. The `AllowedHosts: *` default in `appsettings.json` is common but should be restricted in production, and deployment documentation correctly advises HTTPS for production environments. Code review for deployment scripts is enforced.
Similar Servers
mcp-server
Provides a Model Context Protocol (MCP) server for AI agents to search and retrieve curated documentation for the Strands Agents framework, facilitating AI coding assistance.
daisyui-mcp
Provides DaisyUI component documentation to AI assistants via the Model Context Protocol (MCP) to help in generating UI code.
csharp-lsp-mcp
An MCP server that provides C# and XAML language intelligence by integrating with `csharp-ls` and built-in XAML analysis for AI assistants like Claude.
doc-bot
An intelligent MCP (Model Context Protocol) server that enhances AI coding assistants by providing smart documentation management and API references for deep project understanding.