Essential random number generation utilities from the Python standard library, including pseudorandom and cryptographically secure operations for
Random Number MCP connects Random Number MCP to AI assistants that speak the Model Context Protocol. Essential random number generation utilities from the Python standard library, including pseudorandom and cryptographically secure operations for integers, floats, weighted selections, list shuffling, and secure token generation.
Essential random number generation utilities from the Python standard library, including pseudorandom and cryptographically secure operations for integers, floats, weighted selections, list shuffling, and secure token generation.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| random_int | Generate random integers |
| random_float | Generate random floats |
| random_choices | Choose items from a list (optional weights) |
| random_shuffle | Return a new list with items shuffled |
| random_sample | Choose k unique items from population |
| secure_token_hex | Generate cryptographically secure hex tokens |
| secure_random_int | Generate cryptographically secure integers |
{
"mcpServers": {
"random-number": {
"command": "uvx",
"args": ["random-number-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
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An implementation of a Model Context Protocol (MCP) server for the Dev.to API, providing capabilities for searching, browsing, reading, and creating