# Graylog MCP Server

> Graylog MCP Server — jperelli-graylog-mcp. Use this tool when you need to integrate log analysis capabilities into your system, enabling the search, analysis, and inspection of log messages across multiple streams and Graylog instances. It solves problems related to log message management, field discovery, and stream analysis, providing a centralized interface for querying and inspecting logs. The Graylog MCP Server takes log queries as input and outputs analyzed log messages, stream information, and field discoveries, making it ideal for use cases involving log data analysis and visualization.

Canonical page: https://skillsregistry.net/skills/jperelli-graylog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jperelli-graylog-mcp

## Description

Minimal MCP server that integrates with Graylog, enabling agents to search, analyze, and inspect log messages across streams, discover fields and streams, and query multiple Graylog instances.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fb9gje51ri)
- **Repository:** <https://github.com/jperelli/graylog-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": "jperelli-graylog-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jperelli-graylog-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jperelli-graylog-mcp/pull`

---
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