codebase-context: Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions

by PatrickSys · MCP Server · ★ 68

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

How to install codebase-context

claude mcp add codebase-context -- npx -y codebase-context
npx -y codebase-context map

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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-agentsai-codingclaudecode-intelligencecontext-engineeringcopilotcursordeveloper-toolsevidence-scoringhybrid-search

Quick Facts

Stars68
Forks12
LanguageTypeScript
CategoryMCP Server
Quality Score69/100
Open Issues19
Last Updated2026-11-04
Created2025-11-24
Platformsclaude-code, mcp, node
Est. Tokens~17k

About codebase-context

codebase-context Map your team's conventions before your AI agent starts searching. You're tired of AI agents writing code that "just works" but still misses how your team actually builds things. They search too broadly, pick generic examples, and spend tokens exploring before they understand the shape of the repo. changes the first step.

codebase-context alternative? Top 6 similar tools

Looking for a codebase-context alternative? If you're comparing codebase-context 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.

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  • aiwg by jmagly · ⭐ 228

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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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