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Trustwise MCP Server

@trustwiseai

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

trustwiseai

关于 Trustwise MCP Server

Trustwise MCP servers.

Trustwise MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "trustwise": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TW_API_KEY",
        "ghcr.io/trustwiseai/trustwise-mcp-server:latest"
      ],
      "env": {
        "TW_API_KEY": "<YOUR_TRUSTWISE_API_KEY>"
      }
    }
  }
}

Trustwise MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🦉 Trustwise MCP Server?

The Trustwise MCP Server is a Model Context Protocol (MCP) server that provides a suite of advanced evaluation tools for AI safety, alignment, and performance. It enables developers and AI tools to programmatically assess the quality, safety, and cost of LLM outputs using Trustwise's industry-leading metrics.

How to use 🦉 Trustwise MCP Server?

Install via Docker, then configure your MCP client (e.g., Claude Desktop or Cursor) with the env variables TW_API_KEY (required) and optionally TW_BASE_URL for a custom Trustwise instance. Use the provided JSON snippet to launch the container with the command docker run -i --rm -e TW_API_KEY ghcr.io/trustwiseai/trustwise-mcp-server:latest.

Key features of 🦉 Trustwise MCP Server

  • Provides 19 evaluation metrics covering safety, alignment, and performance.
  • Detects PII, prompt injection, toxicity, and refusal in responses.
  • Measures faithfulness, relevancy, clarity, tone, and formality.
  • Estimates carbon footprint and cost of model inference.
  • Integrates with MCP clients like Claude Desktop and Cursor.

Use cases of 🦉 Trustwise MCP Server

  • Evaluate the safety and reliability of LLM responses.
  • Measure alignment, clarity, and helpfulness of AI-generated content.
  • Estimate the carbon footprint and cost of model inference.
  • Integrate robust evaluation into AI pipelines, agents, or orchestration frameworks.

常见问题

1

What are the prerequisites for running the Trustwise MCP Server?

You need a Trustwise API Key (available at trustwise.ai) and Docker installed on your machine.

2

How do I configure it for Claude Desktop or Cursor?

Add the provided JSON snippet to your MCP client settings, setting `TW_API_KEY` in the `env` section. Optionally set `TW_BASE_URL` to point to a specific Trustwise instance.

3

What evaluation metrics does the server provide?

It offers 19 metrics, including faithfulness, answer relevancy, PII detection, prompt injection, summarization, clarity, formality, helpfulness, sensitivity, tone, toxicity, refusal, completion, adherence, stability, carbon, and cost.

4

Where can I find more examples and advanced usage?

See the official Trustwise SDK on PyPI for more examples and advanced usage.

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