substack-mcp: A Model Context Protocol Server for Substack enabling LLM clients to interact with Substack's API

by marcomoauro · MCP Server · ★ 71

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How to install substack-mcp

git clone https://github.com/marcomoauro/substack-mcp.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

automationclaudemcpmcp-servermodel-context-protocolnewsletternodejspublishingsubstacksubstack-mcp

Quick Facts

Stars71
Forks15
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score61/100
Last Updated2026-09-03
Created2025-05-08
Platformsclaude-code, cli, mcp, node
Est. Tokens~20k

About substack-mcp

Substack MCP Server A Model Context Protocol (MCP) Server for Substack enabling LLM clients to interact with Substack's API for automations like creating posts, managing drafts, and more. 🛠 Available Tools createdraftpost - Create a draft post Inputs: (string): Title of the post (string): Subtitle of the post (string): Body of the post.

Compatible Skills

These tools work well together with substack-mcp for enhanced workflows:

  • getnote-mcp — semantic(0.31)+same_lang+similar_pop+shared_platform (46%)

substack-mcp alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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