# Remote Log Query

> Use this tool when you need to manage and analyze logs from remote servers, and want to leverage AI assistance for tasks like log browsing, searching, and monitoring. It solves problems related to log data access and analysis by providing a secure and efficient way to connect to remote servers via SSH and retrieve log data. The tool accepts server configurations and log queries as inputs and outputs log data, supporting various transport modes and security features.

Canonical page: https://skillsregistry.net/skills/caijianying-log  
JSON: https://api.skillsregistry.net/v1/skills/caijianying-log

## Description

Connects to remote servers via SSH to provide log management capabilities to AI assistants. Exposes tools for listing configured servers, browsing log files, reading specific logs, searching with regex support, and tailing recent entries. Supports HTTP and stdio transport modes with SSH connection pooling, multi-server configuration, and security protections against path traversal. Requires JDK 21+ and SSH private key authentication.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/caijianying-log)
- **Repository:** <https://github.com/caijianying/log-mcp>

## 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": "caijianying-log"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caijianying-log` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caijianying-log/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
