# org-mcp

> Use this tool when you need to manage and query your Org mode notes, agenda, and TODOs using natural language. It solves problems of note organization and retrieval, allowing users to access local Org files through a Python-based MCP server. The tool takes natural language inputs and returns relevant Org mode data, making it ideal for users seeking to streamline their note management workflow.

Canonical page: https://skillsregistry.net/skills/andyreagan-org-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andyreagan-org-mcp

## Description

A Python-based MCP server that provides access to local Org mode files, enabling querying and management of org notes, agenda, and TODOs through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eds7cs4btm)
- **Repository:** <https://github.com/andyreagan/org-mcp>

## 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": "andyreagan-org-mcp"
    }
  }
}
```

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

---
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