# Obsidian MCP Server

> Use this tool when you need to integrate AI assistants with Obsidian notes, enabling them to search, read, and append content via the MCP protocol. It solves problems of note management and knowledge retrieval, allowing AI agents to interact with Obsidian vaults seamlessly. Ideal for use cases where AI-driven note organization and enrichment are required, with inputs including note queries and outputs comprising retrieved or appended note content.

Canonical page: https://skillsregistry.net/skills/senseibas-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/senseibas-mcp-server

## Description

Enables AI assistants to search, read, and append content to notes in an Obsidian vault via the MCP protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rigzy2vnqs)
- **Repository:** <https://github.com/senseiBas/mcp-server>

## 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": "senseibas-mcp-server"
    }
  }
}
```

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