系统架构概览¶
📋 概述¶
MCPStore 是一个基于 Model Context Protocol (MCP) 的服务管理和工具调用平台。它提供了统一的接口来管理多个 MCP 服务,并支持工具的发现、调用和链式组合。
🏗️ 整体架构¶
graph TB
subgraph "用户层"
A[Python SDK]
B[REST API]
C[CLI工具]
D[Web界面]
end
subgraph "MCPStore核心"
E[MCPStore类]
F[服务管理器]
G[工具管理器]
H[连接管理器]
I[配置管理器]
end
subgraph "中间层"
J[FastMCP适配器]
K[连接池]
L[缓存层]
M[监控系统]
end
subgraph "MCP服务层"
N[文件系统服务]
O[Web搜索服务]
P[数据库服务]
Q[自定义服务]
end
A --> E
B --> E
C --> E
D --> B
E --> F
E --> G
E --> H
E --> I
F --> J
G --> J
H --> K
I --> L
J --> N
J --> O
J --> P
J --> Q
M --> F
M --> G
M --> H
🔧 核心组件¶
MCPStore 核心类¶
class MCPStore:
"""MCPStore 核心类"""
def __init__(self, config=None):
# 核心管理器
self.service_manager = ServiceManager()
self.tool_manager = ToolManager()
self.connection_manager = ConnectionManager()
self.config_manager = ConfigManager(config)
# 中间层组件
self.fastmcp_adapter = FastMCPAdapter()
self.cache_layer = CacheLayer()
self.monitoring_system = MonitoringSystem()
# 初始化
self._initialize_components()
def _initialize_components(self):
"""初始化各个组件"""
# 设置组件间的依赖关系
self.service_manager.set_connection_manager(self.connection_manager)
self.tool_manager.set_service_manager(self.service_manager)
self.monitoring_system.set_managers(
self.service_manager,
self.tool_manager,
self.connection_manager
)
服务管理器¶
class ServiceManager:
"""服务管理器 - 负责MCP服务的生命周期管理"""
def __init__(self):
self.services = {} # 服务注册表
self.service_configs = {} # 服务配置
self.service_states = {} # 服务状态
self.connection_manager = None
def add_service(self, config):
"""添加服务"""
# 1. 验证配置
# 2. 创建服务实例
# 3. 注册到服务表
# 4. 初始化连接
pass
def start_service(self, service_name):
"""启动服务"""
# 1. 检查服务状态
# 2. 建立连接
# 3. 验证服务可用性
# 4. 更新服务状态
pass
def stop_service(self, service_name):
"""停止服务"""
# 1. 优雅关闭连接
# 2. 清理资源
# 3. 更新服务状态
pass
工具管理器¶
class ToolManager:
"""工具管理器 - 负责工具的发现、调用和管理"""
def __init__(self):
self.tools_registry = {} # 工具注册表
self.tool_cache = {} # 工具缓存
self.service_manager = None
def discover_tools(self, service_name=None):
"""发现工具"""
# 1. 从服务获取工具列表
# 2. 解析工具定义
# 3. 更新工具注册表
# 4. 缓存工具信息
pass
def call_tool(self, tool_name, arguments):
"""调用工具"""
# 1. 查找工具定义
# 2. 验证参数
# 3. 路由到对应服务
# 4. 执行调用
# 5. 处理结果
pass
def batch_call(self, calls):
"""批量调用工具"""
# 1. 分组调用(按服务)
# 2. 并行执行
# 3. 聚合结果
pass
连接管理器¶
class ConnectionManager:
"""连接管理器 - 负责与MCP服务的连接管理"""
def __init__(self):
self.connections = {} # 连接池
self.connection_configs = {} # 连接配置
self.health_checker = HealthChecker()
def create_connection(self, service_name, config):
"""创建连接"""
# 1. 解析连接配置
# 2. 建立连接
# 3. 验证连接
# 4. 添加到连接池
pass
def get_connection(self, service_name):
"""获取连接"""
# 1. 从连接池获取
# 2. 检查连接健康状态
# 3. 必要时重新连接
pass
def close_connection(self, service_name):
"""关闭连接"""
# 1. 优雅关闭
# 2. 清理资源
# 3. 从连接池移除
pass
🔄 数据流架构¶
服务注册流程¶
sequenceDiagram
participant U as 用户
participant MS as MCPStore
participant SM as ServiceManager
participant CM as ConnectionManager
participant MCP as MCP服务
U->>MS: add_service(config)
MS->>SM: register_service(config)
SM->>SM: validate_config()
SM->>CM: create_connection(config)
CM->>MCP: establish_connection()
MCP-->>CM: connection_established
CM-->>SM: connection_ready
SM->>SM: update_service_state(running)
SM-->>MS: service_registered
MS-->>U: success
工具调用流程¶
sequenceDiagram
participant U as 用户
participant MS as MCPStore
participant TM as ToolManager
participant SM as ServiceManager
participant CM as ConnectionManager
participant MCP as MCP服务
U->>MS: call_tool(name, args)
MS->>TM: execute_tool(name, args)
TM->>TM: resolve_tool(name)
TM->>SM: get_service(service_name)
SM->>CM: get_connection(service_name)
CM-->>SM: connection
SM-->>TM: service_connection
TM->>MCP: call_tool(name, args)
MCP-->>TM: result
TM->>TM: process_result(result)
TM-->>MS: processed_result
MS-->>U: result
🏛️ 分层架构¶
表示层 (Presentation Layer)¶
# REST API 层
class MCPStoreAPI:
"""REST API 接口"""
def __init__(self, mcpstore):
self.mcpstore = mcpstore
self.app = FastAPI()
self._setup_routes()
def _setup_routes(self):
"""设置API路由"""
self.app.post("/services")(self.add_service)
self.app.get("/services")(self.list_services)
self.app.post("/tools/call")(self.call_tool)
# ... 更多路由
# CLI 层
class MCPStoreCLI:
"""命令行接口"""
def __init__(self, mcpstore):
self.mcpstore = mcpstore
self.parser = self._create_parser()
def _create_parser(self):
"""创建命令行解析器"""
# 定义命令和参数
pass
业务逻辑层 (Business Logic Layer)¶
# 服务业务逻辑
class ServiceBusinessLogic:
"""服务业务逻辑"""
def __init__(self, service_manager):
self.service_manager = service_manager
def register_service_with_validation(self, config):
"""带验证的服务注册"""
# 1. 配置验证
# 2. 依赖检查
# 3. 资源分配
# 4. 注册服务
pass
def intelligent_service_discovery(self):
"""智能服务发现"""
# 1. 扫描可用服务
# 2. 自动配置
# 3. 健康检查
pass
# 工具业务逻辑
class ToolBusinessLogic:
"""工具业务逻辑"""
def __init__(self, tool_manager):
self.tool_manager = tool_manager
def smart_tool_routing(self, tool_name, arguments):
"""智能工具路由"""
# 1. 工具解析
# 2. 负载均衡
# 3. 故障转移
pass
def tool_composition(self, workflow):
"""工具组合"""
# 1. 工作流解析
# 2. 依赖分析
# 3. 执行计划
pass
数据访问层 (Data Access Layer)¶
# 配置数据访问
class ConfigDataAccess:
"""配置数据访问"""
def __init__(self, storage_backend):
self.storage = storage_backend
def save_service_config(self, service_name, config):
"""保存服务配置"""
pass
def load_service_config(self, service_name):
"""加载服务配置"""
pass
# 状态数据访问
class StateDataAccess:
"""状态数据访问"""
def __init__(self, storage_backend):
self.storage = storage_backend
def save_service_state(self, service_name, state):
"""保存服务状态"""
pass
def load_service_state(self, service_name):
"""加载服务状态"""
pass
🔌 插件架构¶
插件接口¶
class MCPStorePlugin:
"""MCPStore 插件基类"""
def __init__(self, name, version):
self.name = name
self.version = version
def initialize(self, mcpstore):
"""插件初始化"""
pass
def on_service_added(self, service_name, config):
"""服务添加事件"""
pass
def on_tool_called(self, tool_name, arguments, result):
"""工具调用事件"""
pass
def cleanup(self):
"""插件清理"""
pass
class PluginManager:
"""插件管理器"""
def __init__(self):
self.plugins = {}
self.event_handlers = {}
def load_plugin(self, plugin_class, *args, **kwargs):
"""加载插件"""
plugin = plugin_class(*args, **kwargs)
self.plugins[plugin.name] = plugin
self._register_event_handlers(plugin)
def trigger_event(self, event_name, *args, **kwargs):
"""触发事件"""
handlers = self.event_handlers.get(event_name, [])
for handler in handlers:
handler(*args, **kwargs)
🔐 安全架构¶
安全层¶
class SecurityManager:
"""安全管理器"""
def __init__(self):
self.auth_provider = None
self.permission_manager = PermissionManager()
self.audit_logger = AuditLogger()
def authenticate(self, credentials):
"""身份认证"""
pass
def authorize(self, user, action, resource):
"""权限授权"""
pass
def audit_log(self, user, action, resource, result):
"""审计日志"""
pass
class PermissionManager:
"""权限管理器"""
def __init__(self):
self.permissions = {}
self.roles = {}
def check_permission(self, user, action, resource):
"""检查权限"""
pass
def grant_permission(self, user, permission):
"""授予权限"""
pass
📊 监控架构¶
监控系统¶
class MonitoringSystem:
"""监控系统"""
def __init__(self):
self.metrics_collector = MetricsCollector()
self.alert_manager = AlertManager()
self.dashboard = MonitoringDashboard()
def collect_metrics(self):
"""收集指标"""
pass
def check_alerts(self):
"""检查告警"""
pass
def update_dashboard(self):
"""更新仪表板"""
pass
class MetricsCollector:
"""指标收集器"""
def __init__(self):
self.metrics = {}
def collect_service_metrics(self, service_name):
"""收集服务指标"""
pass
def collect_tool_metrics(self, tool_name):
"""收集工具指标"""
pass
🔗 相关文档¶
📚 设计原则¶
- 模块化设计:各组件职责清晰,低耦合高内聚
- 可扩展性:支持插件机制,易于扩展功能
- 可靠性:完善的错误处理和故障恢复机制
- 性能优化:连接池、缓存、异步处理等优化策略
- 安全性:身份认证、权限控制、审计日志
- 可观测性:全面的监控、日志和指标收集
更新时间: 2025-01-09
版本: 1.0.0