1. Model-Context Protocol (MCP)
MCP manages dynamic context windows across enterprise LLM infrastructure. It retrieves prior memory, history, and metadata to personalize every response without hardcoding logic into prompts.
2. Agent-to-Agent Protocol (A2A)
In A2A, agents talk to each other directly using shared protocols. Think of it as collaborative problem-solving between specialized local agents, especially useful in multi-agent ecosystems.
3. Functional Calling
Here, an LLM acts like a planner. It decomposes a task (e.g., comparing market caps), generates a Directed Acyclic Graph (DAG) of subtasks, and then sends each task to appropriate tools (math, search, APIs) for execution.
Conclusion
- MCP is about managing context,
- A2A is about agent collaboration,
- Functional Calling is about task execution.
