basemind: Full AI context and content layer for coding agents over one MCP server

by Goldziher · MCP Server · ★ 117

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

How to install basemind

/plugin marketplace add Goldziher/basemind
/plugin install basemind@basemind

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.

agent-contextai-agentsclaudeclaude-codeclicode-intelligencecode-mapdeveloper-toolsgitlancedb

Quick Facts

Stars117
Forks20
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues2
Last Updated2026-11-06
Created2024-06-01
Platformsbrowser, claude-code, cli, mcp, rust
Est. Tokens~27k

About basemind

The context and communication layer for coding agents. basemind turns any repo into an always-current map of its code, documents, history, and memory — so agents answer from structure and search instead of burning their context window on and file reads — and gives a team of agents a shared channel to coordinate while they work. One server does both.

basemind alternative? Top 6 similar tools

Looking for a basemind alternative? If you're comparing basemind 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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  • deepcontext-mcp by Wildcard-Official · ⭐ 278

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  • pdf-mcp by jztan · ⭐ 167

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  • TaskWing by josephgoksu · ⭐ 88

    Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.

  • mcpls by bug-ops · ⭐ 81

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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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