Scorecard Server

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Provides AI models with tools to check trust scores and safety details for MCP servers, search for servers, and view ecosystem statistics.

автор: gigabrainobserver

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Описание

Provides AI models with tools to check trust scores and safety details for MCP servers, search for servers, and view ecosystem statistics.

README

An MCP server that lets AI models check trust scores for MCP servers before connecting. Powered by the MCP Scorecard trust index.

What it does

Provides 4 tools to any MCP-compatible AI model:

check_server_trust — Look up trust score and safety details for a specific server
search_servers — Find servers by keyword
list_servers — Browse and filter the full index
get_ecosystem_stats — Aggregate statistics about the MCP ecosystem

Quick start

# Get an API key at https://mcp-scorecard.ai
export SCORECARD_API_KEY=mcs_your_key_here

# Run with uv
uvx mcp-scorecard-server

# Or install and run
uv pip install mcp-scorecard-server
mcp-scorecard-server

Claude Code integration

Add to your Claude Code MCP config (.claude/settings.json):

{
  "mcpServers": {
    "mcp-scorecard": {
      "command": "uvx",
      "args": ["mcp-scorecard-server"],
      "env": {
        "SCORECARD_API_KEY": "mcs_your_key_here"
      }
    }
  }
}

Then ask Claude: "Check the trust score for io.github.firebase/firebase-mcp"

Environment variables

Variable	Required	Default	Description
`SCORECARD_API_KEY`	Yes	—	Your API key
`SCORECARD_API_URL`	No	`https://api.mcp-scorecard.ai`	API base URL

License

MIT

from github.com/gigabrainobserver/mcp-scorecard-server

Установка Scorecard Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/gigabrainobserver/mcp-scorecard-server

FAQ