OR-Tools
This MCP server implementation, developed by Jacck, integrates Google's OR-Tools constraint programming solver with Large Language Models. It enables AI models to submit, validate, and solve constraint satisfaction and optimization problems using a standardized JSON-based model specification. The server supports integer and boolean variables, linear constraints using OR-Tools method syntax, and linear optimization objectives. It's designed for use with Claude Desktop and can handle a variety of problem types including portfolio selection and knapsack problems. This implementation is particularly useful for AI-assisted decision making in logistics, resource allocation, and operations research, where complex constraints need to be modeled and solved efficiently.
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
- maps-location
- Source
- PulseMCP
- Repository
- github.com/jacck/mcp-ortools
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve OR-Tools 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.