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@scoutscore/mcp-server

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@scoutscore/mcp-server

ScoutScore MCP Server - Trust scoring for AI agents via Model Context Protocol. Monitor x402 service reliability before payments.

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@scoutscore/mcp-server

MCP (Model Context Protocol) server for ScoutScore - Agent Trust Intelligence.

Gives Claude Desktop, Cursor, ChatGPT, and any MCP-compatible client the ability to look up trust scores, fidelity checks, and ecosystem data for AI agent services.

Tools

ToolDescription
check_trustLook up trust score, dimensions, flags, and recommendation for a service domain
check_fidelityCheck whether a service's actual responses match its advertised contract
get_ecosystem_statsGet aggregate stats about the ScoutScore ecosystem (total services, pricing, schema coverage)
search_servicesSearch and browse the service leaderboard with keyword and category filters
scan_skillScan a GitHub-hosted AI skill/plugin/tool for trust and safety

Installation

Claude Desktop

Add to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "scoutscore": {
      "command": "npx",
      "args": ["-y", "@scoutscore/mcp-server"]
    }
  }
}

Cursor

Add to your .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "scoutscore": {
      "command": "npx",
      "args": ["-y", "@scoutscore/mcp-server"]
    }
  }
}

ChatGPT

ChatGPT supports MCP servers via the desktop app. Go to Settings > MCP Servers > Add Server and enter:

  • Name: ScoutScore
  • Command: npx
  • Arguments: -y @scoutscore/mcp-server

Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "scoutscore": {
      "command": "npx",
      "args": ["-y", "@scoutscore/mcp-server"]
    }
  }
}

Manual / Other Clients

Run the server directly:

npx @scoutscore/mcp-server

Or install globally:

npm install -g @scoutscore/mcp-server
scoutscore-mcp

Example Prompts

Once configured, you can ask your AI assistant things like:

  • "Is api.example.com trustworthy? Check its ScoutScore."
  • "What's the fidelity score for myservice.xyz?"
  • "How many AI agent services are in the ScoutScore ecosystem?"
  • "Search for image-related AI services on ScoutScore."
  • "Scan the GitHub repo owner/mcp-server for trust and safety."
  • "Compare the top 5 AI & ML services on the ScoutScore leaderboard."

Development

# Install dependencies
cd packages/mcp-server
npm install

# Build
npm run build

# Run tests
npm test

# Run live API integration tests
npm run test:live

# Start the server (for testing with an MCP client)
node dist/index.js

How It Works

This MCP server wraps the public ScoutScore API at https://scoutscore.ai. No API key is required - all endpoints are free tier. The server communicates over stdio using the Model Context Protocol, making it compatible with any MCP client.

License

MIT

Keywords

scoutscore

FAQs

Package last updated on 23 Feb 2026

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