# papi

> papi — getpapi-papi. Use this tool when you need to manage complex projects across multiple AI coding sessions and tools. Papi solves problems of project continuity and knowledge retention by persisting plans, builds, reviews, and decisions, providing a centralized dashboard for continuous project management. It takes in project data and outputs a structured project memory, enabling seamless collaboration and informed decision-making.

Canonical page: https://skillsregistry.net/skills/getpapi-papi  
JSON: https://api.skillsregistry.net/v1/skills/getpapi-papi

## Description

A structured project memory MCP server that persists plans, builds, reviews, and decisions across AI coding sessions and tools, enabling continuous project management with a dashboard.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rtkywmb6r1)
- **Repository:** <https://github.com/getpapi/papi>

## 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": "getpapi-papi"
    }
  }
}
```

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