MarcelRoozekrans 

Async-first interfaces and base classes for ADO.NET (System.Data). Drop-in replacement with modern async/await, IAsyncEnumerable, and ValueTask support.

Async DataSet and DataTable for ADO.NET (System.Data). Includes AsyncDataTable, AsyncDataSet, and AsyncDataAdapter.

Adapters wrapping existing ADO.NET providers (DbConnection, DbCommand, DbDataReader) into async interfaces. Includes .AsAsync() extension and DI support.

Roslyn-based MCP server providing semantic code intelligence for .NET codebases

Newtonsoft.Json converters for AsyncDataTable and AsyncDataSet, wire-compatible with Json.Net.DataSetConverters.

System.Text.Json converters for AsyncDataTable and AsyncDataSet, wire-compatible with Json.Net.DataSetConverters.

Roslyn source generator that produces typed async DataSet/DataTable/DataRow classes from .xsd schema files.

Security monitoring middleware for IChatClient — prompt injection, hallucination, and operational anomaly detection with an intervention engine.

MCP server for .NET memory profiling — wraps JetBrains dotnet-dotmemory with heuristic-based analysis rules

Claude Code hook adapter for AI.Sentinel — scan UserPromptSubmit, PreToolUse, and PostToolUse hook payloads through the detector pipeline.

Claude Code hook command for AI.Sentinel — wire into settings.json hooks to scan tool calls.

GitHub Copilot hook command for AI.Sentinel — wire into hooks.json to scan tool calls.

MCP proxy CLI for AI.Sentinel — point your MCP host at sentinel-mcp to scan all tool calls.

Embedded ASP.NET Core dashboard for AI.Sentinel — real-time threat monitoring, audit trail, and agent graph.

MCP (Model Context Protocol) proxy for AI.Sentinel — wraps another MCP server and scans tool calls in both directions.

Offline replay CLI for AI.Sentinel — run the detector pipeline against saved conversations.

Forward AI.Sentinel audit entries as OpenTelemetry log records — vendor-neutral.

GitHub Copilot hook adapter for AI.Sentinel — scan userPromptSubmitted, preToolUse, postToolUse hook payloads through the detector pipeline.

Forward AI.Sentinel audit entries to Azure Sentinel via the Logs Ingestion API.

Persistent SQLite-backed audit store for AI.Sentinel — survives restarts, maintains the hash chain, supports time-based retention.