# project-mem-mcp

> project-mem-mcp — wallneradam-project-mem-mcp. Use this tool when you need to persistently store and retrieve project information for AI agents, solving data loss and inconsistency issues across sessions. It takes project data as input and outputs stored information from a memory file, utilizing git capabilities for version control. Ideal for use cases requiring continuous project knowledge retention, such as iterative learning and development processes.

Canonical page: https://skillsregistry.net/skills/wallneradam-project-mem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wallneradam-project-mem-mcp

## Description

An MCP server that enables AI agents to persistently store and retrieve project information from a memory file.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/wallneradam/project-mem-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": "wallneradam-project-mem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wallneradam-project-mem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wallneradam-project-mem-mcp/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