# NotNessie MCP Server

> Use this tool when you need to persist project memory across sessions, enabling seamless retrieval of decisions, constraints, and context packs. It solves problems of lost project context and repeated decisions, providing a robust interface for nine MCP tools to input and output project data. Ideal for use in complex, multi-session projects requiring consistent memory recall and decision-making.

Canonical page: https://skillsregistry.net/skills/grexlin85-notnessie  
JSON: https://api.skillsregistry.net/v1/skills/grexlin85-notnessie

## Description

Enables Claude Code to persist and retrieve project memory across sessions, including decisions, constraints, verified commands, and context packs, via nine MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rnnaq9nozz)
- **Repository:** <https://github.com/GreXLin85/notnessie>

## 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": "grexlin85-notnessie"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grexlin85-notnessie` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grexlin85-notnessie/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