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 perforce · MCP Server · ★ 119
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is p4mcp-server safe to install? View the security audit →
Perforce P4 MCP Server Perforce P4 MCP Server is a Model Context Protocol (MCP) server that integrates with the Perforce P4 version control system. It is built on FastMCP with direct P4 Python bindings to expose safe, structured read/write tools for changelists, files, shelves, workspaces, jobs, reviews, and server metadata. Features · Prerequisites · System Requirements · Install · Client Configurations · P4 Configurations · Tools Logging · Troubleshoot · Support · Contributions · License Features Comprehensive P4 integration: Read/write tools across files, changelists, shelves, workspaces, jobs, revie
| Stars | 119 |
| Forks | 27 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.1462683691371/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-25 |
| Created | 2025-09-19 |
| Platforms | mcp, python |
| Est. Tokens | ~21k |
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p4mcp-server is [Community Supported] Perforce P4 MCP Server is a Model Context Protocol (MCP) server that integrates with the Perforce P4 version control system.. It is categorized as a MCP Server with 119 GitHub stars.
p4mcp-server is primarily written in Python. It covers topics such as mcp, mcp-server, p4.
You can find installation instructions and usage details in the p4mcp-server GitHub repository at github.com/perforce/p4mcp-server. The project has 119 stars and 27 forks, indicating an active community.
p4mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
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: