pulsemcp Safe content atomic mcp-remote

Logstash

This Logstash MCP server provides direct API integration with Logstash instances for monitoring and performance analysis, featuring 12 specialized tools including connectivity verification, JVM memory analysis, pipeline statistics, hot threads debugging, and queue backpressure monitoring. Built with Python using aiohttp and Flask, it includes both a command-line MCP interface and a web UI for interactive dashboard access, making it valuable for DevOps teams managing ELK stack deployments who need real-time visibility into Logstash performance bottlenecks, pipeline health, and resource utilization through conversational interfaces.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/mashhurs/logstash-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Logstash from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"