# Secure File & Log Analyzer MCP Server

> Secure File & Log Analyzer MCP Server — harshiitrpr-mcp-trust-layer. Use this tool when you need to securely analyze log files and identify error patterns, as it provides a safe and reliable way to list, summarize, and search logs while protecting against path traversal, symlink attacks, and data leakage. It takes log files as input and outputs summarized error patterns and search results, making it ideal for troubleshooting and security auditing. This tool is particularly useful in contexts where log file analysis is critical, such as in security incident response and system maintenance.

Canonical page: https://skillsregistry.net/skills/harshiitrpr-mcp-trust-layer  
JSON: https://api.skillsregistry.net/v1/skills/harshiitrpr-mcp-trust-layer

## Description

Enables secure analysis of log files by listing, summarizing, and searching for error patterns, with defenses against path traversal, symlink attacks, and data leakage.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dm945mzk0p)
- **Repository:** <https://github.com/Harshiitrpr/mcp-trust-layer>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "harshiitrpr-mcp-trust-layer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harshiitrpr-mcp-trust-layer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harshiitrpr-mcp-trust-layer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt