ai-multi-agent-mcp
Skill1 starsChanged 6 months agoMITView on GitHub
Building multi-agent systems with a simplified inter-agent message envelope inspired by MCP-like structured messaging. This is not the official Model Context Protocol (MCP), which is a host/client/server protocol using JSON-RPC 2.0 with lifecycle initialization, capability negotiation, and server features such as tools/resources/prompts. Covers the book's pedagogical envelope format and transport choices, specialist agent design (Researcher / Writer + shared helpers), Orchestrator design with goal decomposition, and robustness via validation loops + a Validator agent.
In this repository21 other files it gives its agents.
- ai-context-engineeringSkill
- ai-context-engine-productionSkill
- ai-context-engineSkill
- ai-dataset-engineeringSkill
- ai-evaluationSkill
- ai-finetuningSkill
- ai-foundation-modelsSkill
- ai-inference-optimizationSkill
- ai-production-architectureSkill
- ai-prompt-engineeringSkill
- ai-rag-and-agentsSkill
- ai-rag-defenseSkill
- ddia-architectureSkill
- ddia-batch-stream-processingSkill
- ddia-data-ethicsSkill
- ddia-data-modelingSkill
- ddia-replication-shardingSkill
- ddia-transactions-consistencySkill
- job-description-analyzerSkill
- resume-content-writerSkill
- resume-fit-scorerSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Check guidelines.md to find which files to load
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Multi-Agent MCP
Knowledge from "Context Engineering for Multi-Agent Systems" (Chapter 2). The chapter's create_mcp_message examples are a simplified inter-agent message envelope, not official MCP. Official MCP is a host/client/server protocol over JSON-RPC 2.0 with initialization/capability negotiation and server features such as tools/resources/prompts.
Quick Start
- Check
guidelines.mdto find which files to load - Load only relevant files (each topic has knowledge.md, rules.md, examples.md)
- Apply guidance to your work
Contents
References
| Category | Purpose |
mcp-protocol | Simplified envelope format, official-MCP caveats, transports, OpenAI client init, MAS workflow |
agent-design | Specialist agent template (Researcher, Writer), helper function pattern |
orchestration | Orchestrator role, hub-and-spoke routing, goal decomposition |
robustness | Robust LLM components, envelope validation, Validator agent, validation loop |
Workflows
| Workflow | Purpose |
workflows/build-mas.md | Build a multi-agent system from scratch (envelope → agents → orchestrator → first run) |
workflows/harden-mas.md | Add validation loops, robust LLM components, Validator agent |
Guidelines
See guidelines.md for task-based file selection.
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