MCP server design: tool schemas, resources, stdio/SSE, capability negotiation. Triggers: MCP, Model Context Protocol, JSON-RPC, stdio, SSE, Claude Desktop.
Scanned 5/27/2026
Install via CLI
openskills install softspark/ai-toolkit---
name: mcp-patterns
description: "MCP server design: tool schemas, resources, stdio/SSE, capability negotiation. Triggers: MCP, Model Context Protocol, JSON-RPC, stdio, SSE, Claude Desktop."
effort: medium
user-invocable: false
allowed-tools: Read
---
# MCP Patterns Skill
## MCP Specification (2025-06-18)
### Core Concepts
| Concept | Description |
|---------|-------------|
| **Server** | Exposes tools, resources, prompts to clients |
| **Client** | Connects to servers, invokes tools |
| **Transport** | Communication layer (stdio, HTTP, SSE) |
| **Tool** | Executable function with JSON Schema |
| **Resource** | Read-only data (files, URLs) |
| **Prompt** | Reusable prompt template |
---
## Tool Definition Pattern
```typescript
// TypeScript with @modelcontextprotocol/sdk
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [{
name: "search_kb",
description: "Search the knowledge base",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Search query"
},
limit: {
type: "number",
description: "Max results",
default: 10
}
},
required: ["query"]
},
annotations: {
readOnlyHint: true, // Doesn't modify state
idempotentHint: true, // Same input = same output
openWorldHint: false // Bounded result set
}
}]
}));
```
### Tool Annotations
| Annotation | Meaning | Use When |
|------------|---------|----------|
| `readOnlyHint` | No side effects | Read operations |
| `destructiveHint` | Deletes/modifies data | Write operations |
| `idempotentHint` | Safe to retry | GET-like operations |
| `openWorldHint` | Results may change | External API calls |
---
## Transport Patterns
### 1. stdio (Default)
```typescript
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio";
const transport = new StdioServerTransport();
await server.connect(transport);
```
### 2. HTTP with SSE
```python
# FastAPI implementation
from fastapi import FastAPI
from sse_starlette.sse import EventSourceResponse
app = FastAPI()
@app.get("/mcp/sse")
async def sse_endpoint():
async def event_generator():
while True:
# Yield MCP events
yield {"event": "message", "data": json.dumps(response)}
return EventSourceResponse(event_generator())
@app.post("/mcp")
async def jsonrpc_endpoint(request: Request):
body = await request.json()
response = await handle_jsonrpc(body)
return JSONResponse(response)
```
### 3. Streamable HTTP (Modern)
Single `/mcp` endpoint handling GET (SSE) and POST (JSON-RPC):
```python
@app.api_route("/mcp", methods=["GET", "POST"])
async def mcp_endpoint(request: Request):
if request.method == "GET":
# SSE streaming
return EventSourceResponse(stream_generator())
else:
# JSON-RPC
body = await request.json()
return JSONResponse(await handle_jsonrpc(body))
```
---
## JSON-RPC 2.0 Pattern
### Request Format
```json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_kb",
"arguments": {"query": "test", "limit": 5}
}
}
```
### Response Format
```json
{
"jsonrpc": "2.0",
"id": 1,
"result": {
"content": [
{"type": "text", "text": "Search results..."}
]
}
}
```
### Error Format
```json
{
"jsonrpc": "2.0",
"id": 1,
"error": {
"code": -32601,
"message": "Method not found"
}
}
```
### Standard Error Codes
| Code | Meaning |
|------|---------|
| -32700 | Parse error |
| -32600 | Invalid request |
| -32601 | Method not found |
| -32602 | Invalid params |
| -32603 | Internal error |
---
## Completion Support
Enable intelligent argument suggestions:
```typescript
server.setRequestHandler(CompletionCompleteRequestSchema, async (request) => {
const { argument } = request.params;
if (argument.name === "service") {
return {
completion: {
values: ["nginx", "postgresql", "redis", "qdrant"],
hasMore: false
}
};
}
return { completion: { values: [], hasMore: false } };
});
```
---
## Session Management
```typescript
// Generate secure session ID
const sessionId = crypto.randomUUID();
// Validate Origin header
const allowedOrigins = ["http://localhost:3000", "https://claude.ai"];
if (!allowedOrigins.includes(request.headers.origin)) {
throw new Error("Invalid origin");
}
// Session storage (don't expose to client)
const sessions = new Map<string, SessionData>();
```
---
## Batching Support
Handle multiple requests in single HTTP call:
```python
async def handle_jsonrpc(body):
if isinstance(body, list):
# Batch request
return [await process_single(req) for req in body]
else:
# Single request
return await process_single(body)
```
---
## Best Practices
### Security
- [ ] Validate all inputs against JSON Schema
- [ ] Validate Origin header
- [ ] Implement rate limiting
- [ ] Use environment variables for secrets
- [ ] No secrets in logs or errors
### Performance
- [ ] Connection pooling
- [ ] Response caching where appropriate
- [ ] Streaming for large responses
- [ ] Batch support for efficiency
### Logging
- [ ] Log to stderr (never stdout)
- [ ] Structured JSON logs
- [ ] Request/response tracing
- [ ] Error logging with context
### Documentation
- [ ] Document all tools clearly
- [ ] Include example usage
- [ ] Version your API
- [ ] Maintain changelog
---
## RAG-MCP MCP Tools
| Tool | Description |
|------|-------------|
| `smart_query` | Primary search with auto-routing |
| `hybrid_search_kb` | Raw vector + text search |
| `get_document` | Full document content |
| `crag_search` | Self-correcting search |
| `multi_hop_search` | Complex reasoning |
| `start_workflow` | Start agent workflow |
| `get_workflow_status` | Check workflow progress |
| `list_workflows` | List all workflows |
| `cancel_workflow` | Cancel workflow |
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