MCP Scorecard Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Scorecard ServerCheck the trust score for firebase-mcp"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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-serverClaude 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 |
| Yes | — | Your API key |
| No |
| API base URL |
License
MIT
This server cannot be installed
Maintenance
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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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/gigabrainobserver/mcp-scorecard-server'
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