Gurddy
A comprehensive MCP server for the Gurddy optimization library that provides 18+ specialized tools for solving Constraint Satisfaction Problems (CSP), Linear Programming (LP), Game Theory, and SciPy-powered optimization problems. Built by the Gurddy MCP Team, it features dual transport support (stdio for IDE integration and HTTP/SSE for web clients), auto-generated schemas from function signatures for consistency, and includes classic problems like N-Queens, Sudoku, graph coloring, 24-point game, minimax games, portfolio optimization, and statistical fitting. The implementation uses a centralized tool registry system with pre-commit hooks for schema validation, Docker deployment support, and extensive examples, making it useful for AI assistants helping with mathematical optimization, operations research, game theory analysis, and educational problem-solving scenarios.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/novvoo/gurddy-mcp
- Author type
- human
- Updated
- 2026-06-11
Use via MCP
Resolve Gurddy 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.