Reactive Multi Agent MCP Server

Reactive Multi Agent MCP Server is a .NET 10 Model Context Protocol server for hub-and-spoke multi-agent orchestration inside GitHub Copilot Chat and any MCP-capable client.

It gives AI assistants a durable, structured orchestration layer for decomposing complex requests into typed tasks, routing them to domain-specialist agents, tracking execution waves with dependency awareness, recording structured artifacts, and persisting session state across restarts — all backed by a local SQLite store with no external dependencies.

It is implemented in C# on net10.0 using ModelContextProtocol 1.2.0.

Quick Install

Click to install in your preferred environment:

Note: These install links are prepared for the intended NuGet package identity CP.Reactive.Multi.Agent.MCP.Server. If the latest package has not been published yet, use the manual source-build configuration below.

What Reactive Multi Agent helps with

Without structured orchestration, AI agents tackle complex requests sequentially, have no shared state between turns, and cannot hand work off between specialists. Reactive Multi Agent solves this by giving the AI host:

• Decompose any user request into typed tasks with agent assignments, execution phases, and dependency graphs — automatically
• Route each task to the right domain-specialist: C#, ReactiveUI, WPF, WinForms, Avalonia, MAUI, Blazor, MCP, CI, docs, migration, testing, or review
• Parallelise independent tasks in the same execution wave without extra orchestration code
• Persist session state durably in SQLite so sessions survive restarts and can be resumed mid-execution
• Track structured artifacts (source files, config, blueprints, test plans, reviews) and handoff items across agent boundaries
• Recover from context-window limits, network loss, and token budget exhaustion with automated checkpoint, retry, and resume policies
• Supervise in-flight sessions: detect stalled tasks, silent heartbeats, stale supervisor actions, and escalate automatically
• Audit every maintenance sweep with trend-aware health reports (stable / improving / worsening) persisted per session

This server is intended for:

• Copilot Chat workflows that require multi-step, multi-specialist code generation across a full application
• AI agents building .NET solutions from scratch that span multiple UI frameworks or technology stacks
• Long-running orchestration sessions that need checkpoint/resume continuity across context resets
• Orchestration pipelines where structured artifacts and handoff items need to flow between agent

... View full README on GitHub