12. MCP Architecture: Transports (stdio vs SSE), Resources, Prompts & Tool Declarations • AI Autonomous Agents, Tool Calling & MCP (LangGraph) • Rishabh Ki Kaksha

AI Autonomous Agents, Tool Calling & MCP (LangGraph) › 12. MCP Architecture: Transports (stdio vs SSE), Resources, Prompts & Tool Declarations

50 mins

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Course Syllabus

Module 1: Agentic AI Foundations, Reasoning Loops & Tool Calling

01. What are Autonomous AI Agents? The Shift from Passive Chatbots to Action-Taking Systems 02. Cognitive Architectures: ReAct (Reason + Act), Plan-and-Solve & Reflexion Memory Loops 03. Function Calling & Tool Execution: JSON Schema Contracts, Dynamic Dispatch & Error Recovery

Part 1: Agentic Patterns, Graphs & Protocols

Module 2: LangGraph Architecture: StateGraphs, Nodes, Edges & Memory Checkpointing

04. LangGraph Core: Why DAGs Fail and Why Cyclical Graph Architecture is Mandatory for Agents 05. StateGraph Architecture: TypedDict State Schemas, State Reducers & Channel Updates 06. Conditional Edges: Routing Agent Actions dynamically based on LLM decisions 07. Persistence & Memory: SQLite / PostgreSQL Checkpointers for Resumable Agent Conversations

Module 3: Multi-Agent Collaboration & Supervisor Patterns

08. Multi-Agent Systems (MAS): The Supervisor Pattern (Central Coordinator Orchestrating Specialized Agents) 09. Peer-to-Peer Multi-Agent Communication & Consensus Protocols (Researcher, Coder, Critic, Reviewer) 10. CrewAI vs AutoGen vs LangGraph: Architectural Benchmarks for Enterprise Production

Module 4: Model Context Protocol (MCP) Architecture & Custom Server Building

11. Model Context Protocol (MCP) Deep Dive: The Universal Open Standard for AI Tool Integration (Anthropic Spec) 12. MCP Architecture: Transports (stdio vs SSE), Resources, Prompts & Tool Declarations 13. Building Custom MCP Servers from Scratch in TypeScript / Node.js and Python 14. Connecting MCP Servers to Antigravity, Claude Desktop & LangGraph AI Pipelines

Module 5: Human-in-the-Loop, Time-Travel Debugging & Autonomous Workflows

15. Human-in-the-Loop (HITL): Interrupts, Approval Gates & Manual State Override before Tool Execution 16. Time-Travel Debugging: Rewinding Agent State, Modifying Memory & Forking Execution Branches 17. Sandboxed Tool Execution: Running Untrusted Code safely in Docker Containers & E2B Sandboxes 18. Production Case Study: Building an Autonomous Full-Stack Software Engineer AI Agent from Scratch

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# 12. MCP Architecture: Transports (stdio vs SSE), Resources, Prompts & Tool Declarations

> AI Autonomous Agents & LangGraph Notes by Rishabh - Topic 12

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### 1. MCP Transport Layers: `stdio` vs `SSE` 🚚

*   **`stdio` (Standard Input / Output):** Local process execution! Client (Antigravity IDE) child process spawn karta hai aur `stdin`/`stdout` pipelines ke through JSON-RPC messages stream karta hai (Blazing fast, zero network overhead!).
*   **`SSE` (Server-Sent Events + HTTP POST):** Remote server execution! Client HTTP SSE stream se notifications listen karta hai aur POST endpoints par requests dispatch karta hai.

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### 2. Tool Declaration Schema (JSON Schema Spec)

```json
{
  "name": "remoter_execute_ssh",
  "description": "Execute a custom bash command on remote server via SSH",
  "parameters": {
    "type": "object",
    "properties": {
      "hostIdentifier": { "type": "string", "description": "Server IP or Name" },
      "command": { "type": "string", "description": "Bash command to execute" }
    },
    "required": ["hostIdentifier", "command"]
  }
}
```

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### 3. Master Comparison Matrix

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### 4. Interview Ke 3 Sawal Is Topic Se

1. **`stdio` transport me `console.log()` use karne se protocol break kyu hota hai?** -> Kyunki `stdout` purely JSON-RPC messages ke liye reserved hai; raw logs hamesha `stderr` (`console.error()`) par emit hone chahiye!
2. **Dynamic Resources MCP me URI schemes kaise use karte hain?** -> Custom URI patterns (e.g. `remoter://servers/{id}/metrics`) define karke client ko live dynamic data expose karna.
3. **Capability Negotiation MCP initialization handshake me kya karta hai?** -> Client aur Server `initialize` step par negotiate karte hain ki kaunse features (`tools`, `resources`, `logging`) supported hain.

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**Next Topic:** 13. Building Custom MCP Servers from Scratch in TypeScript / Node.js and Python

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