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gigabrainobserver

MCP Scorecard Server

MCP Scorecard Server

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

Related MCP server: dominion-observatory

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

A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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