mcp-patterns
This Claude Code skill provides Model Context Protocol server patterns and implementation templates for creating integrations between Claude Code and external systems. Use it when building MCP servers in Python to expose tools and resources, setting up tool handlers with input validation, configuring Claude Desktop connections, and establishing communication patterns between Claude and custom APIs or services.
git clone --depth 1 https://github.com/aiskillstore/marketplace /tmp/mcp-patterns && cp -r /tmp/mcp-patterns/skills/0xdarkmatter/mcp-patterns ~/.claude/skills/mcp-patternsSKILL.md
# MCP Patterns
Model Context Protocol (MCP) server patterns for building integrations with Claude Code.
## Basic MCP Server (Python)
```python
from mcp.server import Server
from mcp.server.stdio import stdio_server
app = Server("my-server")
@app.list_tools()
async def list_tools():
return [
{
"name": "my_tool",
"description": "Does something useful",
"inputSchema": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Search query"}
},
"required": ["query"]
}
}
]
@app.call_tool()
async def call_tool(name: str, arguments: dict):
if name == "my_tool":
result = await do_something(arguments["query"])
return {"content": [{"type": "text", "text": result}]}
raise ValueError(f"Unknown tool: {name}")
async def main():
async with stdio_server() as (read_stream, write_stream):
await app.run(read_stream, write_stream, app.create_initialization_options())
if __name__ == "__main__":
import asyncio
asyncio.run(main())
```
## Project Layout
```
my-mcp-server/
├── src/
│ └── my_server/
│ ├── __init__.py
│ ├── server.py # Main server logic
│ ├── tools.py # Tool handlers
│ └── resources.py # Resource handlers
├── pyproject.toml
└── README.md
```
## Claude Desktop Configuration
### Basic Configuration
```json
{
"mcpServers": {
"my-server": {
"command": "python",
"args": ["-m", "my_server"],
"env": {
"MY_API_KEY": "your-key-here"
}
}
}
}
```
### With uv (Recommended)
```json
{
"mcpServers": {
"my-server": {
"command": "uv",
"args": ["run", "--directory", "/path/to/my-server", "python", "-m", "my_server"],
"env": {
"MY_API_KEY": "your-key-here"
}
}
}
}
```
## Quick Reference
| Pattern | Use Case | Reference |
|---------|----------|-----------|
| Tool validation | Input sanitization with Pydantic | `./references/tool-patterns.md` |
| Error handling | Graceful failure responses | `./references/tool-patterns.md` |
| Multiple tools | CRUD-style tool registration | `./references/tool-patterns.md` |
| Static resources | Config/settings exposure | `./references/resource-patterns.md` |
| Dynamic resources | Database-backed resources | `./references/resource-patterns.md` |
| Environment auth | API key from env vars | `./references/auth-patterns.md` |
| OAuth tokens | Token refresh with TTL | `./references/auth-patterns.md` |
| SQLite cache | Persistent state storage | `./references/state-patterns.md` |
| In-memory cache | TTL-based caching | `./references/state-patterns.md` |
| Manual testing | Quick validation script | `./references/testing-patterns.md` |
| pytest async | Unit tests for tools | `./references/testing-patterns.md` |
## Common Issues
| Issue | Solution |
|-------|----------|
| Server not starting | Check `command` path, ensure dependencies installed |
| Tool not appearing | Verify `list_tools()` returns valid schema |
| Auth failures | Check env vars are set in config, not shell |
| Timeout errors | Add timeout to httpx calls, use async properly |
| JSON parse errors | Ensure `call_tool` returns proper content structure |
## Official Documentation
- https://modelcontextprotocol.io - MCP specification
- https://modelcontextprotocol.io/docs/concepts/tools - Tools reference
- https://modelcontextprotocol.io/docs/concepts/resources - Resources reference
- https://github.com/modelcontextprotocol/python-sdk - Python SDK
- https://github.com/modelcontextprotocol/servers - Official MCP servers
## Additional Resources
For detailed patterns, load:
- `./references/tool-patterns.md` - Validation, error handling, multi-tool registration
- `./references/resource-patterns.md` - Static and dynamic resource exposure
- `./references/auth-patterns.md` - Environment variables, OAuth token refresh
- `./references/state-patterns.md` - SQLite persistence, in-memory caching
- `./references/testing-patterns.md` - Manual test scripts, pytest async patternsLet Codex use Google Antigravity CLI (agy) for repository exploration, bounded feature work, and project-scale implementation. Use when a Codex task benefits from delegated repository work while Codex retains diff review, verification, repair, and delivery assurance.
Use when replying. Refresh current date and time.
Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.
Design systems, plan implementations, review architecture decisions - Use when you need to plan a complex feature, design system architecture, or make high-level technical decisions.
Use when automating iOS Simulator interactions, capturing screenshots/video, or inspecting accessibility via AXe CLI.
Use when working with Canton Network participants, DAML smart contracts, Splice applications, or debugging LF version and package ID issues.
>
HSK4級レベルから流暢さを目指す学習者向け。中国語表現の使用場面・自然さを分析し、作文を「ネイティブらしい流暢な表現」に改善。bilibili等のコンテンツ理解とネイティブとの会話をサポート。実際の用例をWeb検索で提示