MCP 服务器分析 AI 助手提供的 Salesforce Apex 调试日志。查找慢速方法、管理风险限制及交易时间所在。在你的组织中，运行匿名 Apex，获取日志并设置跟踪标志。

与其滚动成千上万的日志行，不如问清楚什么慢，为什么慢。使用与Apex日志分析器VS Code扩展相同的Apex日志解析器。

快速启动

需要Node.js 22或更高版本。将此添加到你的MCP客户端配置中（claude_desktop_config.json，VS代码mcp.json等）：

然后让你的助理分析日志。组织工具还需要组织通过 Salesforce CLI 认证。

示例提示

• “给我一份调试日志的摘要”
• “给我展示默认命名空间中最慢的5种方法”
• “我们是否接近任何调子限制？”
• “我的 System.debug 调用打印了什么？”
• “用这个Apex对比我的临时组织，分析性能”
• “查找 [email protected] 的最新调试日志并进行总结”
• “为什么没有该用户的日志？”

保持服务器连接需要花费 ~2,435 个代币，占 20 万上下文的 1.2%。参见代币成本。

工具参考

Apex Log MCP Server

MCP Server to Analyze Salesforce Apex debug logs from your AI assistant. Finds slow methods, governor limit risks, and where a transaction spent its time. In your org, runs anonymous Apex, fetches logs, and sets trace flags.

Instead of scrolling thousands of log lines, ask what’s slow and why. Uses the same Apex log parser as the Apex Log Analyzer VS Code extension.

Quick Start

Requires Node.js 22 or later. Add this to your MCP client config (claude_desktop_config.json, VS Code mcp.json, and so on):

{
  "mcpServers": {
    "apex-log-mcp": {
      "command": "npx",
      "args": ["-y", "@certinia/apex-log-mcp"]
    }
  }
}

In VS Code mcp.json, use "servers" in place of "mcpServers".

Then ask your assistant to analyze a log. The org tools - apexlog_execute_anonymous, apexlog_list_org_logs, apexlog_get_org_logs and apexlog_create_trace_flag - also need an org authenticated with the Salesforce CLI.

Example Prompts

• “Give me a summary of this debug log”
• “Show me the 5 slowest methods in the default namespace”
• “Are we approaching any governor limits in this transaction?”
• “What did my System.debug calls print?”
• “Run this Apex against my scratch org and analyze the performance”
• “Run it again with database logging at FINEST”
• “Find the latest debug log for [email protected] and summarize it”
• “Why are there no logs for this user?”

Keeping the server connected costs ~2,445 tokens, 1.2% of a 200K context. See Token Cost.

Tools Reference