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|