api2mcp4j: Spring Boot Starter: Auto-convert existing REST APIs (@RestController) to MCP Server with zero/low-code

by TheEterna · MCP Server · ★ 113

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

How to install api2mcp4j

git clone https://github.com/TheEterna/api2mcp4j.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 73/100

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.

agentaiframeworkjavamavenmcpmcp-servermulti-agent-systemsspringspring-ai

Quick Facts

Stars113
Forks17
LanguageJava
CategoryMCP Server
LicenseApache-2.0
Quality Score73/100
Last Updated2026-10-28
Created2025-04-15
Platformsjava, mcp
Est. Tokens~17k

About api2mcp4j

api2mcp4j Zero-to-low code MCP integration for your Spring Boot REST APIs Turn your existing Spring Boot controllers into an MCP (Model Context Protocol) server in minutes — no @Tool annotations everywhere, no rewriting business logic.

Compatible Skills

These tools work well together with api2mcp4j for enhanced workflows:

  • spring-ai-agent-utils — semantic(0.37)+complementary+shared_fw(spring)+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • yu-ai-agent — semantic(0.57)+shared_fw(spring)+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • spring-ai-mcp — semantic(0.40)+shared_fw(spring)+rare_topics+same_lang+similar_pop+shared_platform (61%)

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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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