# claw-tsaver

> Use this tool when you need to optimize conversation data management and reduce token usage in AI applications. The claw-tsaver MCP server compresses, summarizes, and efficiently manages context data, solving problems related to data overload and token limits. It takes in conversation data as input and outputs optimized, summarized data, making it ideal for use cases where token efficiency is crucial.

Canonical page: https://skillsregistry.net/skills/yang1bai-claw-tsaver  
JSON: https://api.skillsregistry.net/v1/skills/yang1bai-claw-tsaver

## Description

An MCP server that helps AI agents reduce token usage by compressing, summarizing, and managing conversation/context data more efficiently.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g48imz5udf)
- **Repository:** <https://github.com/Yang1Bai/claw-tsaver>

## 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": "yang1bai-claw-tsaver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yang1bai-claw-tsaver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yang1bai-claw-tsaver/pull`

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