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internal/agent/agent.go

@@ -783,25 +783,25 @@ func (a *Agent) ExecuteMCPToolForConversation(ctx context.Context, conversationI
 }
 
 // BeginLocalToolExecution 在非 CallTool 路径工具开始时写入 running 状态，供 MCP 监控页展示「执行中」。
-func (a *Agent) BeginLocalToolExecution(toolName string, args map[string]interface{}) string {
+func (a *Agent) BeginLocalToolExecution(ctx context.Context, toolName string, args map[string]interface{}) string {
 	if a == nil || a.mcpServer == nil {
 		return ""
 	}
-	return a.mcpServer.BeginToolExecution(toolName, args)
+	return a.mcpServer.BeginToolExecution(ctx, toolName, args)
 }
 
 // FinishLocalToolExecution 完成 BeginLocalToolExecution 创建的记录；executionID 为空时一次性写入已完成记录。
-func (a *Agent) FinishLocalToolExecution(executionID, toolName string, args map[string]interface{}, resultText string, invokeErr error) string {
+func (a *Agent) FinishLocalToolExecution(ctx context.Context, executionID, toolName string, args map[string]interface{}, resultText string, invokeErr error) string {
 	if a == nil || a.mcpServer == nil {
 		return ""
 	}
-	return a.mcpServer.FinishToolExecution(executionID, toolName, args, resultText, invokeErr)
+	return a.mcpServer.FinishToolExecution(ctx, executionID, toolName, args, resultText, invokeErr)
 }
 
 // RecordLocalToolExecution 将非 CallTool 路径完成的工具调用写入 MCP 监控库（与 CallTool 落库一致），返回 executionId。
 // 用于 Eino filesystem execute 等场景，使助手气泡「渗透测试详情」与常规 MCP 一致可点进监控。
-func (a *Agent) RecordLocalToolExecution(toolName string, args map[string]interface{}, resultText string, invokeErr error) string {
-	return a.FinishLocalToolExecution("", toolName, args, resultText, invokeErr)
+func (a *Agent) RecordLocalToolExecution(ctx context.Context, toolName string, args map[string]interface{}, resultText string, invokeErr error) string {
+	return a.FinishLocalToolExecution(ctx, "", toolName, args, resultText, invokeErr)
 }
 
 // UpdateMCPExecutionDisplayResult 将监控库中的工具结果更新为送入模型的展示正文（reduction 后）。

internal/config/config.go

@@ -650,11 +650,12 @@ type LogConfig struct {
 }
 
 type MCPConfig struct {
-	Enabled         bool   `yaml:"enabled"`
-	Host            string `yaml:"host"`
-	Port            int    `yaml:"port"`
-	AuthHeader      string `yaml:"auth_header,omitempty"`       // 鉴权 header 名，留空表示不鉴权
-	AuthHeaderValue string `yaml:"auth_header_value,omitempty"` // 鉴权 header 值，需与请求中该 header 一致
+	Enabled           bool   `yaml:"enabled"`
+	Host              string `yaml:"host"`
+	Port              int    `yaml:"port"`
+	AuthHeader        string `yaml:"auth_header,omitempty"`         // 可选的全局服务凭证 header；普通调用优先使用用户 Bearer Token
+	AuthHeaderValue   string `yaml:"auth_header_value,omitempty"`   // 全局服务凭证，仅 allow_global_access=true 时接受
+	AllowGlobalAccess bool   `yaml:"allow_global_access,omitempty"` // 静态服务密钥是否映射为全局服务身份（默认关闭）
 }
 
 type OpenAIConfig struct {
@@ -1396,9 +1397,10 @@ func persistMCPAuth(path string, mcp *MCPConfig) error {
 	return os.WriteFile(path, []byte(strings.Join(lines, "\n")), 0644)
 }
 
-// EnsureMCPAuth 在 MCP 启用且 auth_header_value 为空时，自动生成随机密钥并写回配置
+// EnsureMCPAuth only provisions the privileged static service credential when
+// global service access was explicitly enabled.
 func EnsureMCPAuth(path string, cfg *Config) error {
-	if !cfg.MCP.Enabled || strings.TrimSpace(cfg.MCP.AuthHeaderValue) != "" {
+	if !cfg.MCP.Enabled || !cfg.MCP.AllowGlobalAccess || strings.TrimSpace(cfg.MCP.AuthHeaderValue) != "" {
 		return nil
 	}
 	token, err := generateRandomToken()
@@ -1422,8 +1424,9 @@ func PrintMCPConfigJSON(mcp MCPConfig) {
 		hostForURL = "localhost"
 	}
 	url := fmt.Sprintf("http://%s:%d/mcp", hostForURL, mcp.Port)
-	headers := map[string]string{}
-	if mcp.AuthHeader != "" {
+	headers := map[string]string{"Authorization": "Bearer <USER_SESSION_TOKEN>"}
+	if mcp.AllowGlobalAccess && mcp.AuthHeader != "" {
+		delete(headers, "Authorization")
 		headers[mcp.AuthHeader] = mcp.AuthHeaderValue
 	}
 	serverEntry := map[string]interface{}{
@@ -1683,8 +1686,8 @@ func Default() *Config {
 			Output: "stdout",
 		},
 		MCP: MCPConfig{
-			Enabled: true,
-			Host:    "0.0.0.0",
+			Enabled: false,
+			Host:    "127.0.0.1",
 			Port:    8081,
 		},
 		OpenAI: OpenAIConfig{