Model Context Protocol (MCP) server for constraint optimization and solving"
Model Context Protocol (MCP) server for constraint optimization and solving"
An MCP server for constraint solving (SAT, MaxSAT, SMT, CP, ASP, DP). It turns the connected LLM host into a solver-writing agent: the host gets a Python kernel preloaded with a real solver library, modeling instructions for the chosen backend, and a submission gate. The host encodes the problem, runs and verifies it against the real solver, and submits the final program — the outcome is the solution plus the verified solver program that produced it.
uv run --with) - An OpenRouter API key — for the CLI and benchmark harness only; the MCP server itself runs without oneCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| pysat | Boolean satisfiability (SAT) |
| maxsat | Weighted optimization |
| cpmpy | Constraint programming (CP) |
| clingo | Answer Set Programming (ASP) |
| didp | Dynamic programming (DIDP) |
{
"mcpServers": {
"mcp-solver": {
"command": "uvx",
"args": ["--from", "mcp-solver[agent]", "mcp-solver-serve"]
}
}
}Configuration as documented by the project. Restart the client after saving.
uv run --with) - An OpenRouter API key — for the CLI and benchmark harness only; the MCP server itself runs without one| Variable | Description | Required |
|---|---|---|
| OPENROUTER_API_KEY | Credential the server authenticates with. | Yes |
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