supermcp — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 dhanababum · MCP Server · ★ 62

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

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

About supermcp

SuperMCP A comprehensive platform for creating, deploying, and managing Model Context Protocol (MCP) connectors that bridge AI assistants with databases, APIs, and other data sources. 📹 Introduction Video SuperMCP Introduction ▶️ Watch on YouTube SuperMCP new design ▶️ Watch on YouTube 🎯 What is SuperMCP? SuperMCP is a powerful platform that enables you to create multiple isolated MCP servers using a single s

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Quick Facts

Stars62
Forks9
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71.3709395343661/100
Open Issues2
Last Updated2026-05-25
Created2025-12-11
Platformscli, mcp, python
Est. Tokens~132k

Compatible Skills

These tools work well together with supermcp for enhanced workflows:

  • AI-company — semantic(0.16)+shared_fw(fastapi,react)+same_lang+similar_pop+shared_platform (57%)
  • full-stack-ai-agent-template — semantic(0.17)+complementary+shared_fw(fastapi)+same_lang+shared_platform (54%)
  • flexible-graphrag — semantic(0.11)+shared_fw(fastapi,react)+same_lang+similar_pop+shared_platform (50%)

supermcp alternative? Top 6 similar tools

Looking for a supermcp alternative? If you're comparing supermcp 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.

  • ollama-mcp-bridge by jonigl · ⭐ 102

    Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Ful

  • MARM-Systems by Lyellr88 · ⭐ 305

    Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, s

  • pasal by ilhamfp · ⭐ 275

    Pasal.id - The first open, AI-native Indonesian legal platform. MCP server + web app giving Claude grounded ac

  • MCP-Defender by MCP-Defender · ⭐ 256

    Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code

  • omnicoreagent by omnirexflora-labs · ⭐ 250

    The governed runtime for Python agents you can let act: policy on every action, durable runs, sandboxes, budge

  • MCP-PostgreSQL-Ops by call518 · ⭐ 161

    🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, l

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Frequently Asked Questions

What is supermcp?

supermcp is 🚀 SuperMCP - Create multiple isolated MCP servers using a single connector. Build powerful Model Context Protocol integrations for databases (PostgreSQL, MSSQL) with FastAPI backend, React dashboard,. It is categorized as a MCP Server with 62 GitHub stars.

What programming language is supermcp written in?

supermcp is primarily written in Python. It covers topics such as fastapi, fastmcp, mcp.

How do I install or use supermcp?

You can find installation instructions and usage details in the supermcp GitHub repository at github.com/dhanababum/supermcp. The project has 62 stars and 9 forks, indicating an active community.

What license does supermcp use?

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

What are the best alternatives to supermcp?

The top alternatives to supermcp on Agent Skills Hub include ollama-mcp-bridge, MARM-Systems, pasal. 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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