Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@sipap-mcp list all deployed MCP servers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Production-ready MCP server framework for AWS Lambda and ECS Fargate
sipap-mcp provides base classes and infrastructure for building Model Context Protocol (MCP) servers that implement JSON-RPC 2.0 and can run on:
AWS Lambda: Serverless functions for lightweight, sporadic workloads
ECS Fargate: Containerized services for long-running, stateful workloads
This framework powers all 5 data servers in the Valo (Sports Intelligence Platform) architecture, handling sports data, odds intelligence, news context, weather data, and historical statistics.
Related MCP server: mcp-server-toolkit
✅ MCPServer Base Class: Abstract base with tool registration and auto-discovery
✅ @mcp_tool Decorator: Mark functions as MCP tools with JSON Schema validation
✅ JSON-RPC 2.0 Protocol: Complete implementation with proper error handling
✅ Dual Transport: Lambda handler and FastAPI HTTP server
✅ Authentication: Pluggable strategies (NoAuth, API key, AWS SigV4)
✅ Session Management: Redis-backed state preservation between calls
✅ Input Validation: JSON Schema validation on all tool inputs
✅ Type Safety: Full mypy strict mode compliance (zero errors)
✅ Test Coverage: 96% coverage with 112 passing tests
✅ Production Ready: Zero linting errors, comprehensive error handling
pip install sipap-mcpFor development:
pip install sipap-mcp[dev]from sipap_mcp import MCPServer, mcp_tool
class WeatherMCP(MCPServer):
"""Weather data MCP server."""
def __init__(self):
super().__init__(name="weather-mcp", version="1.0.0")
@mcp_tool(
description="Get current weather for a location",
input_schema={
"type": "object",
"properties": {
"location": {"type": "string", "description": "City name"},
"units": {
"type": "string",
"enum": ["celsius", "fahrenheit"],
"default": "celsius"
}
},
"required": ["location"]
}
)
def get_weather(self, location: str, units: str = "celsius") -> dict:
"""Get current weather conditions."""
# Your implementation here
return {
"location": location,
"temperature": 22 if units == "celsius" else 72,
"units": units,
"condition": "partly cloudy"
}from sipap_mcp.transport import create_lambda_handler
from sipap_mcp.auth import APIKeyAuth
# Create server instance
server = WeatherMCP()
# Configure authentication
auth = APIKeyAuth(api_keys=["your-api-key"])
# Create Lambda handler (entry point for AWS)
handler = create_lambda_handler(server, auth=auth)Deploy with AWS CDK or Terraform:
Handler: your_module.handler
Runtime: python3.12
Timeout: 30 seconds
from sipap_mcp.transport import create_http_app
import uvicorn
# Create server instance
server = WeatherMCP()
# Create FastAPI app
app = create_http_app(server, auth=auth)
# Run with uvicorn
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)Deploy with Docker:
FROM python:3.12-slim
WORKDIR /app
COPY . .
RUN pip install sipap-mcp
CMD ["uvicorn", "your_module:app", "--host", "0.0.0.0", "--port", "8000"]Tools are functions decorated with @mcp_tool that become callable via the MCP protocol:
@mcp_tool(
description="Description of what this tool does",
input_schema={
"type": "object",
"properties": {
"param": {"type": "string"}
},
"required": ["param"]
}
)
def my_tool(self, param: str) -> dict:
"""Docstring for the tool."""
return {"result": param}JSON Schema types supported:
string, number, integer, boolean, array, object
Validation: minLength, maxLength, minimum, maximum, pattern, enum
Choose the authentication strategy that fits your deployment:
from sipap_mcp.auth import NoAuth
auth = NoAuth() # No authentication - use for local dev onlyfrom sipap_mcp.auth import APIKeyAuth
auth = APIKeyAuth(api_keys=[
"client-a-key",
"client-b-key",
"client-c-key"
])Clients send API key in X-API-Key header.
from sipap_mcp.auth import SigV4Auth
auth = SigV4Auth(service="lambda", region="us-east-1")For Lambda Function URLs with IAM authentication.
Maintain state across multiple requests using Redis:
import redis
from sipap_mcp.session import SessionManager
# Connect to Redis
redis_client = redis.Redis(host="localhost", port=6379)
# Create session manager
session_manager = SessionManager(
redis_client=redis_client,
ttl=3600 # 1 hour default
)
# Create session
session_id = session_manager.create_session(
data={"user_id": "123", "preferences": {...}},
ttl=1800 # 30 minutes custom TTL
)
# Retrieve session
session_data = session_manager.get_session(session_id)
# Update session
session_manager.update_session(session_id, updated_data)
# Extend TTL
session_manager.extend_ttl(session_id, ttl=7200)Override _setup() and _cleanup() for resource management:
class MyServer(MCPServer):
def __init__(self):
super().__init__(name="my-server", version="1.0.0")
self.db_connection = None
def _setup(self) -> None:
"""Called when entering context manager."""
self.db_connection = connect_to_database()
def _cleanup(self) -> None:
"""Called when exiting context manager."""
if self.db_connection:
self.db_connection.close()Use with context manager:
with server:
# Server is set up, resources initialized
response = server.handle_request(request)
# Cleanup happens automatically on exit{
"jsonrpc": "2.0",
"id": "req-1",
"method": "tools/list",
"params": {}
}Response:
{
"jsonrpc": "2.0",
"id": "req-1",
"result": {
"tools": [
{
"name": "get_weather",
"description": "Get current weather for a location",
"inputSchema": {
"type": "object",
"properties": {...},
"required": [...]
}
}
]
}
}{
"jsonrpc": "2.0",
"id": "req-2",
"method": "tools/call",
"params": {
"name": "get_weather",
"arguments": {
"location": "London",
"units": "celsius"
}
}
}Response:
{
"jsonrpc": "2.0",
"id": "req-2",
"result": {
"content": [{
"type": "text",
"text": "{\"location\": \"London\", \"temperature\": 15, ...}"
}]
}
}Standard JSON-RPC 2.0 error codes:
Code | Meaning | When |
-32700 | Parse error | Invalid JSON |
-32600 | Invalid Request | Missing required fields |
-32601 | Method not found | Unknown method |
-32602 | Invalid params | Validation failed |
-32603 | Internal error | Server error |
Error Response:
{
"jsonrpc": "2.0",
"id": "req-3",
"error": {
"code": -32602,
"message": "Invalid params: 'location' is required"
}
}See the examples/ directory for comprehensive examples:
Example | Description |
Simple calculator server | |
Lambda deployment with API key auth | |
HTTP server with Redis sessions | |
Advanced patterns & lifecycle hooks | |
All authentication strategies |
Run examples:
python examples/01_basic_server.py
python examples/02_lambda_with_auth.py
python examples/03_http_with_sessions.py # Requires RedisThis framework adapts proven patterns from the Sentinel architecture:
ExitStack + Generator Pattern: Resource management with context managers
Tool Auto-Discovery: Introspection-based tool registration
Structured Output Enforcement: JSON Schema validation on all inputs/outputs
ContextVar-Based Logging: Thread-safe context propagation
sipap_mcp/
├── core/
│ ├── protocol.py # JSON-RPC 2.0 implementation
│ └── server.py # MCPServer base class
├── decorators/
│ └── tool.py # @mcp_tool decorator & registry
├── transport/
│ ├── lambda_handler.py # AWS Lambda adapter
│ └── http_handler.py # FastAPI adapter
├── auth/
│ └── middleware.py # Authentication strategies
├── session/
│ └── manager.py # Redis session management
└── validation/
└── schema.py # JSON Schema validation# Clone repository
git clone <repo-url>
cd sipap-mcp
# Create virtual environment
python3.12 -m venv .venv
source .venv/bin/activate
# Install in editable mode with dev dependencies
pip install -e ".[dev]"# Run all tests
pytest
# Run with coverage
pytest --cov=src/sipap_mcp --cov-report=html
# Open coverage report
open htmlcov/index.htmlAll quality gates must pass before committing:
# Type checking (strict mode)
mypy src/sipap_mcp --strict
# Linting
ruff check src/sipap_mcp tests/
# Auto-fix linting errors
ruff check --fix src/sipap_mcp tests/
# All gates at once
pytest && mypy src/sipap_mcp --strict && ruff check src/sipap_mcp tests/# Build wheel and source distribution
python -m build
# Install built package
pip install dist/sipap_mcp-0.1.0-py3-none-any.whlPython 3.12, 3.13, or 3.14
pydantic >= 2.7.0
fastapi >= 0.111.0
uvicorn[standard] >= 0.30.0
jsonschema >= 4.22.0
sipap-common >= 0.1.0
typing-extensions >= 4.12.0
pytest >= 8.0.0
pytest-cov >= 5.0.0
mypy >= 1.10.0
ruff >= 0.4.0
class MCPServer(name: str, version: str)Methods:
handle_request(request_data) -> dict: Process JSON-RPC request
list_tools() -> list[dict]: Get registered tools
get_info() -> dict: Get server metadata
_setup() -> None: Override for initialization (optional)
_cleanup() -> None: Override for cleanup (optional)
@mcp_tool(description: str, input_schema: dict)
def tool_function(self, **kwargs) -> dict:
passParameters:
description: Human-readable tool description
input_schema: JSON Schema for input validation
class SessionManager(redis_client, ttl: int = 3600)Methods:
create_session(data, ttl=None) -> str: Create session, returns ID
get_session(session_id) -> dict | None: Retrieve session data
update_session(session_id, data, ttl=None) -> bool: Update session
delete_session(session_id) -> bool: Delete session
session_exists(session_id) -> bool: Check if exists
extend_ttl(session_id, ttl) -> bool: Extend expiration
create_lambda_handler(server, auth=None) -> Callable
create_http_app(server, auth=None) -> FastAPIdef test_my_server():
server = MyServer()
# Test tool listing
tools = server.list_tools()
assert len(tools) > 0
# Test tool execution
request = {
"jsonrpc": "2.0",
"id": "1",
"method": "tools/call",
"params": {
"name": "my_tool",
"arguments": {"param": "value"}
}
}
with server:
response = server.handle_request(request)
assert "result" in responsedef test_lambda_handler():
from sipap_mcp.transport import create_lambda_handler
server = MyServer()
handler = create_lambda_handler(server)
event = {
"headers": {},
"body": json.dumps({
"jsonrpc": "2.0",
"id": "1",
"method": "tools/list",
"params": {}
})
}
response = handler(event, {})
assert response["statusCode"] == 200Handler setup:
# app.py
from sipap_mcp import MCPServer, mcp_tool
from sipap_mcp.transport import create_lambda_handler
from sipap_mcp.auth import APIKeyAuth
import os
class MyServer(MCPServer):
# ... server definition ...
server = MyServer()
auth = APIKeyAuth(api_keys=os.getenv("API_KEYS", "").split(","))
handler = create_lambda_handler(server, auth=auth)Deploy:
Handler: app.handler
Runtime: python3.12
Memory: 512 MB (adjust based on workload)
Timeout: 30 seconds (adjust based on tool execution time)
Environment: API_KEYS=key1,key2,key3
Dockerfile:
FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]app.py:
from sipap_mcp.transport import create_http_app
# ... server definition ...
app = create_http_app(server, auth=auth)Task definition:
Container port: 8000
Health check: /health (if implemented)
CPU: 256 (.25 vCPU)
Memory: 512 MB
Development:
docker run -d -p 6379:6379 redis:7-alpineProduction:
AWS ElastiCache for Redis
Version: Redis 7.x
Node type: cache.t4g.micro (or larger)
Encryption: In-transit and at-rest
Multi-AZ: Enabled for production
Import Error:
# Problem
from sipap_mcp import MCPServer # ImportError
# Solution
pip install sipap-mcpAuthentication Failing:
# Check API key header name (must be X-API-Key)
headers = {"X-API-Key": "your-key"} # Correct
headers = {"Api-Key": "your-key"} # WrongSession Not Found:
# Sessions expire after TTL
session_manager.session_exists(session_id) # Check first
session_manager.extend_ttl(session_id, 3600) # Extend if neededType Errors:
# Run mypy to catch type issues
mypy your_module.py --strictTested on AWS Lambda (512 MB, Python 3.12):
Operation | Cold Start | Warm Start |
tools/list | 850ms | 12ms |
tools/call (simple) | 900ms | 15ms |
tools/call (with DB) | 1200ms | 45ms |
Reduce cold starts: Use Lambda provisioned concurrency
Cache connections: Initialize in _setup(), reuse across invocations
Minimize dependencies: Import only what you need
Use async: FastAPI transport supports async tools
Session TTL: Balance memory usage vs user experience
Contributions are welcome! Please:
Follow the existing code style (ruff + mypy strict)
Add tests for new features (maintain 80%+ coverage)
Update documentation
Run all quality gates before submitting
Copyright © 2026 Valo Team
Built with:
Test-Driven Development (TDD)
Type safety (mypy strict mode)
96% test coverage (112 tests)
Production-ready error handling
Comprehensive documentation
Part of the Valo platform - Sports Intelligence and Outcome Probability Assessment Platform
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