# learnings-mcp

> Use this tool when you need to manage and share learning prompts efficiently, leveraging automatic git commits for version control and collaboration. It solves problems of prompt organization, sharing, and tracking changes, supporting both global and local learnings. The tool takes in learning prompts as input and outputs organized, committed, and shareable learnings through a server interface.

Canonical page: https://skillsregistry.net/skills/nitsanavni-learnings-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nitsanavni-learnings-mcp

## Description

An MCP server for managing learning prompts, supporting both global and local learnings with automatic git commits for shared use.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jz2tycz7e1)
- **Repository:** <https://github.com/nitsanavni/learnings-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": "nitsanavni-learnings-mcp"
    }
  }
}
```

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