A
ai.smithery/mrugankpednekar-mcp-optimizer
pytest
Optimize crew and workforce schedules, resource allocation, and routing with linear and mixed-inte…
No known CVEs
MIT license
Stale
Last commit 277d ago
Works with most clients
Transport: stdio
6 tools · ~175 tok
Grade A · 0.1% of 200K ctx
MCPpedia last refreshed this data
ai.smithery/mrugankpednekar-mcp-optimizer is an MCP server that optimize crew and workforce schedules, resource allocation, and routing with linear and mixed-inte…. Its tool list has not been published yet over stdio, requires no API key, and scores 77/100 on MCPpedia's security, maintenance and efficiency rubric.
Step 1
Install in your client
Config is the same across clients — only the file and path differ.
CD
Supported in Claude Desktopstdio · Node 18+
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"ai-smithery-mrugankpednekar-mcp-optimizer": {
"args": [
"pytest"
],
"command": "uvx"
}
}
}Are you the author?
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[](https://mcppedia.org/s/ai-smithery-mrugankpednekar-mcp-optimizer)
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What ai.smithery/mrugankpednekar-mcp-optimizer does
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 s
Test This Server
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'pytest' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Scored, not listed
Why this score
Five weighted categories — click any category to see the underlying evidence.
Score breakdown
77/100across 5 weighted dimensions
0255075100
30
20
15
10
−23
Security
Maintenance
Efficiency
Documentation
Compatibility
Categoriesclick a row to see evidence
Security
OSV.dev1 fixed
CVE-2025-71176medium · fixedCVSS 6.8
pytest has vulnerable tmpdir handling
pytest through 9.0.2 on UNIX relies on directories with the `/tmp/pytest-of-{user}` name pattern, which allows local users to cause a denial of service or possibly gain privileges.
Inventory
Tools (6)
Click any tool to inspect its schema.
~175 tokens total
Community
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Frequently Asked Questions
- Is ai.smithery/mrugankpednekar-mcp-optimizer safe to use?
- ai.smithery/mrugankpednekar-mcp-optimizer has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
- How do I install ai.smithery/mrugankpednekar-mcp-optimizer?
- ai.smithery/mrugankpednekar-mcp-optimizer supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
- What can ai.smithery/mrugankpednekar-mcp-optimizer do?
- ai.smithery/mrugankpednekar-mcp-optimizer provides 6 tools: solve_linear_program, parse_natural_language, solve_word_problem_with_data, Installation, Testing and 1 more. See the full tools list on the server page for descriptions and parameters.
- What AI clients work with ai.smithery/mrugankpednekar-mcp-optimizer?
- ai.smithery/mrugankpednekar-mcp-optimizer is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
- Is ai.smithery/mrugankpednekar-mcp-optimizer actively maintained?
- ai.smithery/mrugankpednekar-mcp-optimizer is less actively maintained — last commit was 277 days ago.
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Community
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