Apex Log MCP Server

An MCP server that gives AI assistants tools to analyze Salesforce Apex debug logs for performance bottlenecks, slow methods, and governor limit usage.

Give your AI assistant — Claude, Copilot, or any MCP-compatible client — the ability to parse Apex debug logs and surface the performance insights that matter. Instead of scrolling through thousands of log lines, ask your assistant to find what's slow and why.

Quick Start | What You Can Do | Tools Reference | Configuration | How It Works | Documentation | Contributing | Contributors | License

Quick Start

Add to your MCP client configuration (claude_desktop_config.json, VS Code mcp.json, etc.):

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

That's it. Open a conversation and ask your AI assistant to analyze an Apex debug log.

What You Can Do

Ask your AI assistant to work with Apex debug logs using natural language:

• "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?"

• "Run this Apex against my scratch org and analyze the performance"

Tools Reference

analyze_apex_log_performance

Rank methods in an Apex debug log by self-execution time. Returns method names, durations (in ms), SOQL/DML counts, and optimization recommendations. Best for finding which specific methods to optimize.

get_apex_log_summary

Get a high-level summary of an Apex debug log including total execution time (in ms), method count, SOQL/DML totals, governor limits, and active namespaces. Best for a quick overview before deeper analysis.

find_performance_bottlenecks

Check whether an Apex log transaction is approaching governor limits (flags usage above 80%). Analyzes CPU time, SOQL/DML limits, query rows, and method execution patterns by namespace. Best for checking if a transaction is at risk of hitting governor limits.

analysisType values:

execute_anonymous

Executes anonymous Apex code against any authenticated Salesforce org. Saves the resulting debug log to a local file and returns a summary with the file path. Use the file path with get_apex_log_summary, analyze_apex_log_performance, or find_performance_bottlenecks for deeper analysis.

debugLevel as an object — override specific categories, the rest keep their defaults:

{ "database": "FINEST", "apexCode": "FINE" }

Each category accepts a log level: NONE, ERROR, WARN, INFO, DEBUG, FINE, FINER, FINEST

Default debug levels (used when debugLevel is omitted):

Example prompts:

• "Execute this Apex and show me the log: System.debug('Hello');"

• "Run a query for all Accounts and analyze the performance"

• "Execute this Apex with all debug levels set to FINEST"

• "Run this Apex against my QA org with database logging set to FINEST"

Note: Requires --allowed-orgs to be configured. Uses the project's default org unless targetOrg is specified. The debug log is saved to a local file (default: .apex-log-mcp/) and the response includes the file path, org username (and alias, if set), and execution summary. Add .apex-log-mcp/ to your .gitignore to avoid committing debug logs.

Configuration

The Quick Start configuration is all you need for log analysis tools. The sections below cover enabling execute_anonymous.

Enabling execute_anonymous

The execute_anonymous tool is disabled by default. To enable it, pass --allowed-orgs with a comma-separated list of allowed orgs:

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

Allowed org tokens

You can also pass org usernames or aliases directly:

"args": ["-y", "@certinia/apex-log-mcp", "--allowed-orgs", "dev@example.com,my-scratch-org"]

How It Works

This server implements the Model Context Protocol (MCP) to expose Apex log analysis as tools that any MCP-compatible AI client can call.

• Runs as a local process — your AI client spawns the server and communicates locally. No network requests, no API keys.

• Uses the same parser as the Apex Log Analyzer VS Code extension — battle-tested parsing of the Apex debug log format.

• Returns structured data — all durations in milliseconds, governor limits as used/limit pairs, methods with SOQL/DML counts — so your AI assistant can reason about the results.

Documentation

• User Guide & Docs

• MCP Specification

Related Projects

• Apex Log Analyzer VS Code Extension — Full-featured Apex log analyzer for VS Code

Contributing

We welcome contributions! Please see our Contributing Guide for details.

• Developing — Set up your development environment

• Code of Conduct — Community guidelines

Contributors

Thanks to our amazing contributors!

License