Fortuna
FortunaMCP is a high-performance random number generation MCP server built by Robert Sharp and hosted by Silicon Society, designed to bridge the gap where large language models fall short in delivering true randomness. Powered by the Fortuna Python library and Storm C++ engine with hardware-based entropy, the server provides 20+ statistical distribution functions including dice rolling, Bernoulli trials, normal/gamma/Poisson distributions, and specialized tools for simulations, modeling, and creative tasks requiring quality randomness. The implementation uses FastMCP with comprehensive parameter validation and supports both SSE and HTTP transports, making it ideal for AI agents performing Monte Carlo simulations, statistical analysis, game mechanics, or any application where deterministic LLM outputs need genuine stochastic elements.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- iot-hardware
- Source
- PulseMCP
- Repository
- github.com/siliconsociety/fortunamcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Fortuna 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.