Milestone 1: Documentation Foundation Structure

Created complete documentation structure with: • Root README.md with repository overview • Documentation directory structure (01-05 + templates) • Migrated content from public repository • New operational documentation • Comprehensive templates for business workflows Sections: 1. 01-business-strategy/ - Business vision, market analysis, financials 2. 02-technical-architecture/ - Infrastructure, AI agents, deployment 3. 03-operations/ - Client onboarding, support processes 4. 04-customer-portal/ - Placeholder for client-facing docs 5. 05-development/ - Placeholder for dev standards 6. templates/ - 5 reusable business templates This commit establishes the foundation for the repository reorganization. Content review will be conducted separately.
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+     1|# 02 - MCP (Model Context Protocol) — Home
+     2|**Purpose:** MCP integration guides and implementation examples.
+     3|
+     4|## What is MCP?
+     5|Model Context Protocol (MCP) is a standardized interface for connecting LLMs to external tools, data sources, and services.
+     6|
+     7|## MCP Benefits
+     8|- **Unified interface** for tool integration
+     9|- **Hot-swappable** tool providers
+    10|- **Standardized** input/output schemas
+    11|- **Type-safe** API definitions
+    12|
+    13|## Core Concepts
+    14|
+    15|### Tools
+    16|External capabilities exposed to the model:
+    17|- File system access
+    18|- Database queries
+    19|- API endpoints
+    20|- Custom business logic
+    21|
+    22|### Resources
+    23|Data sources the model can read:
+    24|- Documents
+    25|- Configuration files
+    26|- Real-time data feeds
+    27|- Knowledge bases
+    28|
+    29|### Prompts
+    30|Pre-defined interaction templates:
+    31|- Task initiation patterns
+    32|- System prompt variations
+    33|- Role-definition templates
+    34|
+    35|## Quick Start
+    36|
+    37|```bash
+    38|# Install MCP server
+    39|pip install mcp-server-filesystem mcp-server-sqlite
+    40|
+    41|# Start a filesystem MCP server
+    42|mcp-server-filesystem --path /path/to/allowed/directory
+    43|
+    44|# Connect via client
+    45|from mcp import ClientSession, StdioServerParameters
+    46|
+    47|async with ClientSession(
+    48|    stdio_server_parameters=StdioServerParameters(
+    49|        command="mcp-server-filesystem",
+    50|        args=["--path", "/path/to/allowed/directory"]
+    51|    )
+    52|) as session:
+    53|    # List available tools
+    54|    tools = await session.list_tools()
+    55|```
+    56|
+    57|## Available MCP Servers
+    58|
+    59|- **Filesystem:** Access documents and configuration files
+    60|- **SQL databases:** Query relational databases safely
+    61|- **API Gateway:** Connect to REST/GraphQL endpoints
+    62|- **Custom Business Logic:** Integrate internal tools and services
+    63|
+    64|## Security Considerations
+    65|
+    66|- **Path whitelisting:** Only allow specific directories
+    67|- **Query rate limiting:** Prevent resource exhaustion
+    68|- **Input sanitization:** Validate all user inputs
+    69|- **Token-based access:** Require authentication for sensitive operations
+    70|
+    71|## Use Cases
+    72|
+    73|- **Document analysis:** Read and process large document collections
+    74|- **Database queries:** Extract insights from operational databases
+    75|- **API orchestration:** Coordinate across multiple external services
+    76|- **Code generation:** Write and execute code safely
+    77|
+    78|## References
+    79|
+    80|- [MCP Specification](https://modelcontextprotocol.io)
+    81|- [MCP Server Implementations](https://github.com/modelcontextprotocol/servers)
+    82|- [Integration Examples](../03%20-%20AI%20AGENTS%20&%20LEARNING/02%20-%20OpenClaw%20Framework/)
+    83|
+    84|---
+    85|
+    86|*MCP integrates seamlessly with OpenClaw agent orchestration for scalable AI applications.*
+    87|