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General Tools

heroleague.ai

Provides general-purpose tools through the Model Context Protocol.

1 endpoint4 known toolsFirst detected September 7, 2026Last detected September 7, 2026

ENDPOINT 1

https://heroleague.ai/mcp

No auth detected

MCP server metadata

Name
hail
Version
1.0.0
Capabilities
tools

Known tools 4

list_questions

List HAIL assessment questions for simple, professional, or advanced profile.

Inferred read-only
run_assessment

Score a team assessment.

Inferred read-only
get_result

Fetch a stored HAIL result by run_id or share_slug.

Inferred read-only
get_playbook

Get the What-to-Fix playbook for a run (Premium/Portfolio).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.hail]
url = "https://heroleague.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "hail": {
      "type": "http",
      "url": "https://heroleague.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: hail
Remote MCP URL: https://heroleague.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "hail": {
      "url": "https://heroleague.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "hail": {
      "type": "http",
      "url": "https://heroleague.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "hail",
  "transport": "streamable-http",
  "url": "https://heroleague.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.