▎AI & Multi-Agent
Model Context Protocol/ MCP
Open protocol pattern for exposing tools, resources, and prompts to model agents through standard interfaces.
Definition
Model Context Protocol is open protocol pattern for exposing tools, resources, and prompts to model agents through standard interfaces. In defense applications, it decouples agents from the databases, files, sensors, and services they need to operate. The hard part is over-broad permissions, unsigned tool manifests, and weak identity between agent and service, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a MOSA-like contract for AI tools inside KhanBMS, tying the concept back to modular command, edge execution, and auditable authority.
Reference attributes
- Layer
- tool interoperability protocol
- Operational value
- Decouples agents from the databases, files, sensors, and services they need to operate
- Primary risk
- Over-broad permissions, unsigned tool manifests, and weak identity between agent and service
- KhanBMS role
- A MOSA-like contract for AI tools inside KhanBMS
Related terms
- Tool-Use AgentsAgents that call external APIs, databases, simulators, sensors, or effectors to accomplish tasks.
- Agent-to-Agent Protocol (A2A)Communication pattern for autonomous agents to negotiate tasks, exchange state, and request support.
- Policy GuardrailsDeterministic and model-assisted controls that constrain what AI systems may say, decide, or execute.
- Modular Open Systems Approach (MOSA)U.S. DoD acquisition mandate requiring open architectures and standardized, replaceable modules.
#protocol#agents#interop
