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SAGE — Solver-Augmented Grounding Engine

SAGE — Solver-Augmented Grounding Engine

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github.com/pragnakarScience & Education0Updated 32w ago
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About SAGE — Solver-Augmented Grounding Engine

SAGE is a local MCP server that exposes optimization solvers to LLM clients. It is intended for users who need optimization computations, with all processing performed locally using HiGHS and OR-Tools.

Key features

  1. 01Local optimization computation
  2. 02Uses HiGHS and OR-Tools
  3. 03Runs on the user's machine
  4. 04No external data transmission

Use cases

  1. 01Run optimization through an MCP client
  2. 02Compute with optimization models locally

MCP support

Exposes optimization tools to Claude Desktop and other MCP-compatible LLM clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "pragnakar-sage-solver": {
      "command": "uvx",
      "args": [
        "sage-solver-mcp"
      ]
    }
  }
}
Run commanduvx sage-solver-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypisage-solver-mcp0.1.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

sage-solver-mcp

mcp-name: io.github.pragnakar/sage-solver-mcp

Local MCP server for SAGE (Solver-Augmented Generation Engine).

Exposes optimization tools to Claude Desktop and other MCP-compatible LLM clients.

See the monorepo root for full documentation and installation instructions.

Privacy Policy

SAGE operates entirely on your local machine. It does not collect, transmit, or store any user data, file contents, or optimization models externally. All computation runs locally using open-source solvers (HiGHS, OR-Tools). No analytics, telemetry, or network requests are made. Files are only read from or written to paths you explicitly provide.

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