How do I install the Yang1Bai/claw-tsaver MCP server?

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "claw-tsaver": { "command": "npx", "args": ["-y", "Yang1Bai/claw-tsaver"] } }

Yang1Bai/claw-tsaver

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🐍 🏠 🍎 🪟 🐧 - Token-saving MCP proxy that intercepts oversized tool returns and replaces them with a preview + on-demand handle. Real benchmark: 11,507 tokens → 104 tokens (99.1% saved) on a Wikipedia fetch. Works with OpenClaw + Claude.

Quick Install

One-Click IDE Configuration

claude_desktop_config.json

{
  "mcpServers": {
    "yang1bai-claw-tsaver": {
      "command": "npx",
      "args": [
        "-y",
        "yang1bai-claw-tsaver"
      ]
    }
  }
}

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

claw-tsaver

A token-saving MCP proxy for OpenClaw users. Cuts tool call payloads by 90%+ via lazy expansion.

Why

MCP tool calls often return thousands of tokens of HTML or JSON in a single response — but the model typically uses only 5% of it. The remaining 95% silently burns context window and increases cost. claw-tsaver sits between OpenClaw and your downstream MCP servers, intercepts oversized responses, and hands the model a compact preview + an on-demand handle instead.

How

sequenceDiagram
    participant U as OpenClaw (Claude)
    participant C as claw-tsaver proxy
    participant F as fetch / puppeteer / etc.
    U->>C: call_tool("fetch", url)
    C->>F: forward call
    F-->>C: 11,507 tokens of HTML
    Note over C: tiktoken count > threshold
    C->>C: store full content in SQLite
    C-->>U: {preview_head, preview_tail, expand_handle}<br/>(only 104 tokens)
    Note over U: model decides if it needs full text
    U->>C: expand_content(handle)
    C-->>U: full 11,507 tokens

Real measurement

Test	Original tokens	Returned tokens	Saved
fetch Wikipedia "Tokenization (data security)"	11,507	104	99.1%

Tested on OpenClaw + Claude Sonnet 4.6 + mcp-server-fetch, 2026-04-25.
Raw data: benchmarks/mvp-day1-fetch.jsonl.

Quick Start

1. Prerequisites

Install uv (one-time setup):

curl -LsSf https://astral.sh/uv/install.sh | sh

No claw-tsaver install needed — uvx will fetch and run it on demand.

2. Configure downstream MCP servers

Edit ~/.claw-tsaver/config.json (first run of claw-tsaver-mcp will auto-create a template):

{
  "downstream_servers": [
    {"name": "fetch", "command": "uvx", "args": ["mcp-server-fetch"]}
  ],
  "compression_threshold_tokens": 500
}

3. Register with OpenClaw

Add this block at the top level of ~/.openclaw/openclaw.json:

"mcp": {
  "servers": {
    "claw-tsaver": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/Yang1Bai/claw-tsaver",
               "claw-tsaver-mcp"]
    }
  }
}

Then restart OpenClaw gateway: openclaw gateway restart

Dashboard

Optional: a local web UI for real-time token savings stats.

uvx --from git+https://github.com/Yang1Bai/claw-tsaver claw-tsaver-dashboard

Open http://localhost:7878 in your browser.

Roadmap

Module A: lazy expansion proxy (this release)
Module D: local dashboard (this release)
Module B: tool routing (auto-load only relevant MCPs per turn)
Module C: conversation history compression (atomic fact cards)

License

MIT — see LICENSE file.

Contributing

Issues and PRs welcome.

🇨🇳 中文说明

什么是 claw-tsaver？

claw-tsaver 是一个为 OpenClaw 用户设计的 MCP 代理，通过懒加载扩展机制将工具调用的 token 消耗削减 90%+。

问题背景

MCP 工具调用（如 fetch、puppeteer）经常在单次响应中返回数千个 token 的 HTML 或 JSON，但模型通常只使用其中约 5% 的内容。剩余 95% 悄悄消耗上下文窗口并增加费用。

解决方案

claw-tsaver 作为 OpenClaw 与下游 MCP 服务器之间的代理：

拦截过大的响应（超过可配置的 token 阈值）
将完整内容存储到本地 SQLite 数据库
返回给模型一个紧凑预览 + 按需扩展句柄
模型需要更多内容时，调用 expand_content 工具按需获取

快速安装

npm install -g claw-tsaver
# 在 OpenClaw 配置中添加为 MCP 服务器

开源协议

MIT License