# Neemee

> Use this tool when you need to integrate AI assistants with personal knowledge management systems, enabling interaction with portable markdown notes and seamless access to Neemee resources. It solves problems of note management and AI connectivity through the Model Context Protocol, supporting both HTTP and STDIO transport modes. Ideal for use cases requiring creation, updating, and management of notes, with inputs including markdown notes and outputs including accessed Neemee resources.

Canonical page: https://skillsregistry.net/skills/neemee  
JSON: https://api.skillsregistry.net/v1/skills/neemee

## Description

TypeScript client library for connecting to Neemee personal knowledge management systems through the Model Context Protocol. Supports both HTTP and STDIO transport modes with full TypeScript support. Provides tools for creating, updating, and managing notes, as well as accessing Neemee resources. Enables AI assistants to interact with portable markdown notes and integrate with Neemee's AI-connected note manager.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/neemee)
- **Repository:** <https://github.com/paul-bonneville-labs/neemee-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": "neemee"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neemee` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neemee/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