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RunReveal

by docs

RunReveal: AI-powered security log management and threat detection platform that speeds investigations and reduces risk.

Security log management and threat detection platform with AI-powered investigations

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

AI-powered threat detectionStreamable HTTP transport

best for

  • / Security teams monitoring infrastructure
  • / SOC analysts investigating incidents
  • / DevOps teams tracking security events

capabilities

  • / Analyze security logs for anomalies
  • / Detect potential threats automatically
  • / Investigate security incidents with AI
  • / Query log data for forensic analysis
  • / Generate threat intelligence reports

what it does

Analyzes security logs and detects threats using AI to help identify and investigate potential security incidents.

about

RunReveal is an official MCP server published by docs that provides AI assistants with tools and capabilities via the Model Context Protocol. RunReveal: AI-powered security log management and threat detection platform that speeds investigations and reduces risk.

how to install

You can install RunReveal in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

RunReveal is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

FAQ

What is the RunReveal MCP server?
RunReveal is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for RunReveal?
This profile displays 69 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Discussion

Product Hunt–style comments (not star reviews)
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MCP server reviews

Ratings

4.669 reviews
  • Advait Brown· Dec 28, 2024

    RunReveal has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Camila Tandon· Dec 28, 2024

    We wired RunReveal into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Meera Reddy· Dec 16, 2024

    RunReveal reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mateo Jackson· Dec 12, 2024

    We evaluated RunReveal against two servers with overlapping tools; this profile had the clearer scope statement.

  • Isabella Martin· Dec 8, 2024

    RunReveal reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Lucas Verma· Nov 19, 2024

    RunReveal is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Aarav Perez· Nov 19, 2024

    According to our notes, RunReveal benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Aisha Perez· Nov 15, 2024

    Useful MCP listing: RunReveal is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Isabella Liu· Oct 10, 2024

    We wired RunReveal into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yuki Ndlovu· Oct 10, 2024

    RunReveal has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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