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MCP — Model Context Protocol Architecture
Universal standard for connecting AI to external tools and data
P0Infrastructure
Summary
Model Context Protocol (MCP) is an open standard for AI-tool integration. It defines how AI models discover, invoke, and receive results from external tools. MCP servers expose capabilities (tools, resources, prompts) via a standardized JSON-RPC protocol. Any AI client supporting MCP can use any MCP server — creating a universal plugin ecosystem.
Technical Details
MCP architecture has three components:
• MCP Server: exposes tools/resources/prompts via JSON-RPC
• MCP Client: discovers and invokes server capabilities
• Transport: stdio (local) or SSE/WebSocket (remote)
LIGHT HOPE already uses MCP: m556 MemoryBridge is an MCP server exposing 17+ tools for ecosystem context. This pattern extends to any project needing external tool access.
Key insight: MCP eliminates the N×M integration problem. Instead of each AI integrating with each tool separately, all tools speak MCP and all AIs speak MCP. One protocol, universal compatibility.
Implementation Pattern
TypeScript (conceptual)
// MCP Server pattern (Python - FastMCP)
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("knowledge-bridge")
@mcp.tool()
def get_csar_doctrine(region: str) -> str:
"""Retrieve CSAR doctrine for a specific theater region."""
return compile_doctrine(region)
@mcp.resource("knowledge://{topic}")
def get_knowledge(topic: str) -> str:
"""Access compiled knowledge by topic."""
return knowledge_store.get(topic)Architecture Insight
MCP is to AI tools what HTTP is to web services — a universal protocol that enables an ecosystem. m556's 17+ tools prove this works in production at ecosystem scale.
Official / Public Basis
MCP is an open standard by Anthropic. Specification at modelcontextprotocol.io. Claude Code natively supports MCP servers. m556 is a production MCP server.
Governance Concerns
MCP servers have access to AI conversations. Tool permissions must be explicit. Server authentication required for remote transports. V5.4 mandates MCP accessibility for P0 projects.
LightHope Ecosystem Mapping
m556 MemoryBridge — already MCP-native, m590 knowledge API exposure, m495 skill invocation protocol, m8100 search antenna interface