# SaveContext

> SaveContext — alexanderboger-savecontext. Use this tool when you need to efficiently manage large documents in your LLM context, reducing storage and token usage by up to 20x. It solves the problem of cumbersome document handling by storing them externally and retrieving byte-exact quotes as needed. The SaveContext tool takes in large documents as input and outputs compact, token-efficient quotes through a git-based interface.

Canonical page: https://skillsregistry.net/skills/alexanderboger-savecontext  
JSON: https://api.skillsregistry.net/v1/skills/alexanderboger-savecontext

## Description

Git LFS for your LLM context — 20x Context Savings — an MCP server that keeps big documents out of the model and returns byte-exact quotes for a fraction of the tokens.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AlexanderBoger/SaveContext)

## 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": "alexanderboger-savecontext"
    }
  }
}
```

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