Smithery Mrugankpednekar Mcp Optimizer
Optimize crew and workforce schedules, resource allocation, and routing with linear and mixed-inte…
About This MCP Server
Crew Optimizer rebuilds the original optimisation project around the CrewAI ecosystem. It provides reusable CrewAI tools and agents capable of solving linear programs via SciPy's HiGHS backend, exploring mixed-integer models with a lightweight branch-and-bound search (or OR-Tools fallback), translating natural language prompts into LP JSON, and diagnosing infeasibility. You can embed the tools inside your own crews or call them programmatically through the OptimizerCrew convenience wrapper, or serve them over the MCP protocol for clients such as Smithery.
What Problems It Solves
- To integrate with a wider multi-agent workflow
- call crew.build_crew() to obtain a Crew populated with the LP
- MILP
- and parser agents. Provide model inputs through CrewAI’s shared context as usual.
Specifications
Requirements
- This installs Crew Optimizer together with optional OR-Tools support for MILP solving. Add pytest
- ruff
- or other dev tools as needed (pip install pytest).
Hosting
Hosting Options
- Remote
API
Integrate this server into your application. Choose a connection method below.
Install
pip install -e .[mip]Performance
Usage
Quick Reference
- Name
- Smithery Mrugankpednekar Mcp Optimizer
- Function
- Optimize crew and workforce schedules, resource allocation, and routing with linear and mixed-inte…
- Transport
- Remote
- Install
- pip install -e .[mip]
- Source
- External (Registry)
- License
- Open Source
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