publisher — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by malloydata · MCP Server · ★ 114

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is publisher safe to install? View the security audit →

About publisher

Malloy Publisher The Analytics Engine for Malloy A post modern data stack — built for the AI era. One data model, served over MCP and REST to AI agents, applications, and BI tools. Created and maintained by Credible, the company behind the AI Analytics Engine. AI agents: read AGENTS.md first (raw: https://raw.githubusercontent.com/malloydata/publisher/main/AGENTS.md). It covers starting the server, connecting over MCP, the bundled skills, and the package format. Fetch the raw file, not a summary of this page. A 60-second walkthrough — model in your IDE with the Malloy skills, serve with Publisher, build a data app, materialize on a schedule, and analyze. <a href="https://git

ai-agentsai-governanceai-toolsanalyticsanalytics-dashboardanalytics-engineeringbusiness-intelligencedatadata-modelingdata-transformation

Quick Facts

Stars114
Forks27
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score65.0347844209862/100
Open Issues88
Last Updated2026-10-02
Created2024-09-16
Platformsmcp, node
Est. Tokens~18k

Compatible Skills

These tools work well together with publisher for enhanced workflows:

  • nao — semantic(0.55)+complementary+rare_topics+same_lang+shared_platform (73%)
  • datastoria — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • altimate-code — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • Alfred — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)

publisher alternative? Top 6 similar tools

Looking for a publisher alternative? If you're comparing publisher with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • DashClaw by ucsandman · ⭐ 308

    Remote approvals, policy checks, and execution evidence for unattended AI agents.

  • google-analytics-mcp by surendranb · ⭐ 242

    Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to

  • forge-orchestrator by nxtg-ai · ⭐ 135

    Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.

  • mcpcat-typescript-sdk by MCPCat · ⭐ 103

    MCPcat is an analytics platform for MCP server owners 🐱.

  • deterministic-agent-control-protocol by elliot35 · ⭐ 88

    Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT

  • metabase-mcp by hluaguo · ⭐ 73

    Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly

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Frequently Asked Questions

What is publisher?

publisher is Publisher is the open-source analytics engine for Malloy. It lets you define data models once — and use them everywhere.. It is categorized as a MCP Server with 114 GitHub stars.

What programming language is publisher written in?

publisher is primarily written in TypeScript. It covers topics such as ai-agents, ai-governance, ai-tools.

How do I install or use publisher?

You can find installation instructions and usage details in the publisher GitHub repository at github.com/malloydata/publisher. The project has 114 stars and 27 forks, indicating an active community.

What license does publisher use?

publisher is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to publisher?

The top alternatives to publisher on Agent Skills Hub include DashClaw, google-analytics-mcp, forge-orchestrator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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