php-sdk: The official PHP SDK for Model Context Protocol servers and clients

by modelcontextprotocol · MCP Server · ★ 1.7k

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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. Full audit →

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.

mcpmcp-clientmcp-serverphp

Quick Facts

Stars1,656
Forks194
LanguagePHP
CategoryMCP Server
Quality Score73/100
Open Issues68
Last Updated2026-11-05
Created2025-07-15
Platformsmcp
Est. Tokens~17k

About php-sdk

MCP PHP SDK The official PHP SDK for Model Context Protocol (MCP). It provides a framework-agnostic API for implementing MCP servers and clients in PHP. This project represents a collaboration between the PHP Foundation and the Symfony project. It adopts development practices and standards from the Symfony project, including Coding Standards and the Backward Compatibility Promise.

Compatible Skills

These tools work well together with php-sdk for enhanced workflows:

  • client — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)
  • mcp-sdk-php — semantic(0.48)+complementary+same_lang+similar_pop (57%)
  • server — semantic(0.32)+complementary+same_lang+similar_pop (51%)
  • phpMyFAQ — semantic(0.18)+complementary+same_lang+similar_pop (46%)

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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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