LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools.
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsImported from the official MCP registry - entry
io.github.pragnakar/sage-solver-mcpv0.1.1. Ratings and installs below are from this marketplace.
LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools.
sage-solver-mcp @ 0.1.1Source: https://github.com/pragnakar/Project_Sage
Registry entry: io.github.pragnakar/sage-solver-mcp
Copy one of these into your project. Installing also returns the manifest and these snippets.
targets:
- https://api.opensmartroute.ai/api/v1/registry/mcp-io-github-pragnakar-sage-solver-mcp/manifest # or paste the manifest belowAn Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mcp-io-github-pragnakar-sage-solver-mcp",
"kind": "tool",
"name": "SAGE — Solver-Augmented Grounding Engine",
"description": "LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools.",
"publisher": "pragnakar",
"version": "0.1.1",
"capabilities": {
"domains": [
"finance"
],
"tags": [
"mcp",
"mcp-server",
"pypi",
"mcp-registry"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools."
],
"primary": false,
"metadata": {
"source": {
"provider": "mcp-registry",
"repository": "https://github.com/pragnakar/Project_Sage",
"path": "server.json",
"ref": "0.1.1",
"url": "https://github.com/pragnakar/Project_Sage",
"key": "io.github.pragnakar/sage-solver-mcp",
"registry": "https://registry.modelcontextprotocol.io"
}
}
}Fetch it by URL: GET /api/v1/registry/mcp-io-github-pragnakar-sage-solver-mcp/manifest?version=0.1.1
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