obsidian-mcp-server: Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP

by cyanheads · MCP Server · ★ 699

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

Featured in: Obsidian for Claude Code & AI Agents

Security audit verdict: SAFE · quality 71/100

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.

ai-agentsai-toolsbuncyanheadsknowledge-basemcpmcp-servermodel-context-protocolnote-takingobsidian

Quick Facts

Stars699
Forks108
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues17
Last Updated2026-10-31
Created2025-01-23
Platformsmcp, node
Est. Tokens~19k

About obsidian-mcp-server

Obsidian MCP Server Empower your AI agents and development tools with seamless Obsidian integration! An MCP (Model Context Protocol) server providing comprehensive access to your Obsidian vault. Enables LLMs and AI agents to read, write, search, and manage your notes and files through the Obsidian Local REST API plugin.

Compatible Skills

These tools work well together with obsidian-mcp-server for enhanced workflows:

  • claudian — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • siyuan — semantic(0.30)+complementary+rare_topics+same_lang+shared_platform (59%)
  • obsidian-ai-tagger — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)
  • obsidian-agent-client — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • obsidian-plugin-skill — semantic(0.31)+complementary+rare_topics+similar_pop+shared_platform (50%)

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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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