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dot-RealityTest/obsidian-codex-mcp

by Various

Local-first Obsidian MCP server for Codex, Claude Desktop, and markdown vault automation.

D

MCP

dot-RealityTest/obsidian-codex-mcp

Added 1 June 2026

#agent-tools #ai-agents #claude-desktop #codex #knowledge-base #local-ai #local-first #markdown

Overview

A local-first MCP server that connects Obsidian vaults with AI assistants such as Codex and Claude Desktop. It enables automated reading and writing of markdown notes through the Model Context Protocol, keeping all data on the user's machine.

Best for

Best for
Developers building custom local-first AI integrations with Obsidian

Use cases

  • Automating note creation, retrieval, and updates in Obsidian via AI agents
  • Enabling Codex to query and modify local markdown vaults
  • Integrating Claude Desktop with Obsidian for conversational note workflows

Notes

A local-first MCP server that connects Obsidian vaults with AI assistants such as Codex and Claude Desktop. It enables automated reading and writing of markdown notes through the Model Context Protocol, keeping all data on the user’s machine.

1 stars on GitHub. Last updated 2026-05-19. Licensed MIT.

Use cases

  • Automating note creation, retrieval, and updates in Obsidian via AI agents
  • Enabling Codex to query and modify local markdown vaults
  • Integrating Claude Desktop with Obsidian for conversational note workflows

Pros

  • Runs entirely locally, preserving privacy and offline access
  • Lightweight Python implementation compatible with multiple MCP clients
  • Direct integration with popular AI tools (Codex, Claude Desktop)

Cons

  • Low community adoption (1 star), which may indicate limited testing or support
  • Requires manual setup and Python environment configuration
  • May lack full Obsidian feature coverage or robust error handling

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Runs entirely locally, preserving privacy and offline access
  • Lightweight Python implementation compatible with multiple MCP clients
  • Direct integration with popular AI tools (Codex, Claude Desktop)

Cons

  • Low community adoption (1 star), which may indicate limited testing or support
  • Requires manual setup and Python environment configuration
  • May lack full Obsidian feature coverage or robust error handling

Pairs with

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