agent-mcp-logging
Demonstrates structured logging of Agentic AI calls to MCP servers, building a Phishing Triage Assistant as an example
Install / Use
claude mcp add realm-security -- npx -y github:realm-security/agent-mcp-loggingIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
SecuritySupported Platforms
Our assessment of agent-mcp-logging
agent-mcp-logging scores 53/100 on our quality scale, 1082nd of 1,102 Security skills we index.
Its MCP Server is 1.4 KB long, split into 3 sections with 2 code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-20 found the source still online.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-29. Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
agent-mcp-logging compared with similar skills
All 4 of these similar skills score higher than agent-mcp-logging; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| agent-mcp-logging (this skill)by realm-security | 53 | 3 | 15mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 97.9k | today | MCP Server |
Frequently asked questions
- How do I install agent-mcp-logging?
- Run
claude mcp add realm-security -- npx -y github:realm-security/agent-mcp-logging. The install tabs above show the steps for each supported agent. - Which AI agents does agent-mcp-logging work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is agent-mcp-logging safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is agent-mcp-logging still maintained?
- The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubSecurity Monitoring for AI Agents and MCP
A practical guide to building an observable Phishing Triage Assistant with MCP and structured logging
TLDR: We show structured logging of AI Agents with MCP to tackle Phishing Triage, allowing continuous security monitoring in a SIEM and automated remediation in a SOAR.
This code is a companion to our technical blog post, published by Realm.Security.
See the technical blog for more details.
Contents
mcp_server.pyprovides the MCP server using FastMCP, instrumented with client-side loggingagent_client.pyprovides the AI agent using LangGraph, with structured logging across both agent and tools
Usage
Ensure uv is installed to manage the Python dependencies.
Run the MCP server:
uv run -- python mcp_server.py
Then, in a separate terminal, run the AI agent.
uv run -- python agent_client.py
The agent requires access to a Large Language Model (LLM), and is set up to use Anthropic Claude Sonnet 3.7 through AWS Bedrock by default. Ensure your access credentials are available to the LangChain API.
Related Skills
Agent-Reach
109.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
78.9kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
47.8kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Scrapling
97.9k🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.