Random.org
This MCP server by maxbogo addresses the fundamental problem that LLMs struggle with generating truly random numbers due to their deterministic nature and training biases, as demonstrated by distribution analysis showing clear patterns in random number generation from popular LLMs like Claude, Gemini, and OpenAI. The implementation provides a single tool that fetches genuinely random numbers from Random.org's atmospheric noise-based API, supporting customizable ranges with proper validation and error handling. It's particularly valuable for applications requiring true randomness such as statistical sampling, gaming, cryptographic operations, or any scenario where LLM-generated pseudo-randomness would introduce unwanted bias or predictability.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/maxbogo/mcp-random-number
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Random.org from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.