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Data Collection

propzapi.com

Provides sports odds, player props, fixtures, and bookmaker data.

1 endpoint4 known toolsFirst detected July 25, 2026Last detected July 25, 2026

ENDPOINT 1

https://api.propzapi.com/mcp

No auth detected

MCP server metadata

Name
propzapi
Version
0.1.0
Capabilities
tools

Known tools 4

get_odds

Get sports odds (moneyline/spreads/totals) grouped by book.

Inferred read-only
get_props

Get player props for upcoming games (the premium market).

Inferred read-only
get_events

Get fixtures and live scores.

Inferred read-only
get_books

List the sportsbooks currently covered.

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.propzapi]
url = "https://api.propzapi.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "propzapi": {
      "type": "http",
      "url": "https://api.propzapi.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: propzapi
Remote MCP URL: https://api.propzapi.com/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": {
    "propzapi": {
      "url": "https://api.propzapi.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "propzapi": {
      "type": "http",
      "url": "https://api.propzapi.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "propzapi",
  "transport": "streamable-http",
  "url": "https://api.propzapi.com/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.