pctx: Execution layer for agentic tool calls

by portofcontext · MCP Server · ★ 285

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

How to install pctx

brew install portofcontext/tap/pctx
npm i -g @portofcontext/pctx

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.

ai-agentsapiinfrastructurelocal-developmentmcpmcp-serveropen-source

Quick Facts

Stars285
Forks40
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues35
Last Updated2026-11-05
Created2025-11-04
Platformsmcp, rust
Est. Tokens~23k

About pctx

pctx The open source framework to connect AI agents to tools and mcp with Code Mode —   T R U S T E D   B Y   —      Install bash Homebrew brew install portofcontext/tap/pctx cURL curl --proto '=https' --tlsv1.2 -LsSf https://raw.githubusercontent.com/portofcontext/pctx/main/install.sh |

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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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