# Obsidian MCP Local

> Use this tool when you need to integrate AI assistants with local Obsidian vaults, enabling seamless search, creation, and modification of Markdown notes through filesystem operations. It solves problems of note management and discovery, supporting tag-based search and frontmatter parsing without requiring Obsidian to be open. Ideal for use cases where AI-driven note-taking and organization are required, with inputs including Markdown files and outputs including modified notes and parsed metadata.

Canonical page: https://skillsregistry.net/skills/henriquecsouzza-obsidian-mcp-local  
JSON: https://api.skillsregistry.net/v1/skills/henriquecsouzza-obsidian-mcp-local

## Description

Enables AI assistants to search, read, create, and modify Markdown notes in local Obsidian vaults directly through filesystem operations. Supports tag-based discovery and frontmatter parsing without requiring Obsidian to be open, facilitating integration with VS Code Copilot via stdio transport.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w8hdf82t3c)
- **Repository:** <https://github.com/HenriqueCSouzza/obsidian-mcp-local>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "henriquecsouzza-obsidian-mcp-local"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/henriquecsouzza-obsidian-mcp-local` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/henriquecsouzza-obsidian-mcp-local/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt