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obsidian-mcp-server

Active·★ 564·Apache-2.0·Updated 2026-05-25
★ Trending★ Essential

Obsidian Knowledge-Management MCP (Model Context Protocol) server that enables AI agents and development tools to interact with an Obsidian vault. It provides a comprehensive suite of tools for reading, writing, searching, and managing notes, tags, and frontmatter, acting as a bridge to the Obsidian Local REST API plugin.

The Obsidian MCP Server acts as a bridge, allowing applications (MCP Clients) to interact directly and safely with your Obsidian vault. It enables AI assistants and development tools to automate vault management, integrate Obsidian into AI workflows, and build custom tools by leveraging the Obsidian Local REST API plugin.

#Obsidian#MCP#AI Tools#TypeScript#REST API
$ Install
$ npx obsidian-mcp-server
↗ Visit site★ GitHub
01

Features

01Seamless integration with Obsidian vaults through the Model Context Protocol.
02Comprehensive toolset for reading, writing, searching, and managing notes, frontmatter, and tags.
03Enables AI agents and development tools to automate Obsidian vault management.
04Intelligent in-memory vault cache for improved search performance and resilience.
05Robust server architecture with structured logging, error handling, and security features.
02

Compatibility

Obsidian
Native Integration
Verified via docs
Obsidian Local REST API Plugin
Required Plugin
Verified via docs
Model Context Protocol (MCP) Clients
MCP Compliant
Verified via docs
Large Language Models (LLMs)
AI Empowered
Verified via docs
03

Quick start

1
$ npx obsidian-mcp-server
04

Use cases

↳Automating Obsidian vault management tasks programmatically.
↳Integrating Obsidian knowledge bases directly into AI agent and LLM workflows.
↳Building custom external applications that interact with Obsidian vault data.
05

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Related searches

obsidian-mcp-server AlternativesBest API Integration Tools 2026Open Source API Integrationobsidian-mcp-server Tutorialobsidian-mcp-server Vs CompetitorsObsidianMCPAI Tools

Comments

Log in to leave a comment
  • F
    Finley MartinezMay 25, 2026

    Knowledge orchestration primitives are well thought out. Good documentation, reduces onboarding time.

  • R
    Remy DavisApr 20, 2026

    Knowledge orchestration primitives are well thought out. No complaints after 6 months of use.

  • J
    Justice WilsonApr 11, 2026

    The reliable agent design scales well from prototype to production. No complaints after 6 months of use.

  • M
    Morgan JacksonMar 11, 2026

    The robust approach to agent memory is more reliable than alternatives. Solid addition to the AI tooling stack.

  • M
    Marlowe HarrisMar 1, 2026

    Used for efficient automation workflows, the framework stays out of the way. The maintainers are responsive to issues.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 564
Last commit5d ago
StatusActive
LicenseApache-2.0
CategoryAPI Integration
Trend (30d)
+22.5↑ 4.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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