Show HN: Constraint Programming in Your AI Agent
MiniZinc MCP Server An MCP server that exposes MiniZinc constraint solving and optimization to LLM clients such as opencode, Claude Desktop, and Cursor. It lets an agent parse, type-check, and solve MiniZinc models directly from a chat session. Built with the MCP Python SDK v2 and the MiniZinc Python binding.
- ▪MiniZinc MCP Server An MCP server that exposes MiniZinc constraint solving and optimization to LLM clients such as opencode, Claude Desktop, and Cursor.
- ▪It lets an agent parse, type-check, and solve MiniZinc models directly from a chat session.
- ▪Built with the MCP Python SDK v2 and the MiniZinc Python binding.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,037 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/carban/minizinc-mcp |
| Publication time | Tue, 15 Sep 2026 16:42:24 +0000 |
| Retrieval time | 2026-09-15T16:56:52.845Z |
| Last seen | 2026-09-15T16:56:52.845Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | UFyw786NZ1Wv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
MiniZinc MCP Server An MCP server that exposes MiniZinc constraint solving and optimization to LLM clients such as opencode, Claude Desktop, and Cursor. It lets an agent parse, type-check, and solve MiniZinc models directly from a chat session. Built with the MCP Python SDK v2 and the MiniZinc Python binding. Demo Install it 1. Prerequisites Only two things need to be installed, once per machine: uv — curl -LsSf https://astral.sh/uv/install.sh | sh MiniZinc 2.6+ with the minizinc executable on PATH (includes a default solver, Gecode) Everything else is fetched automatically by uv — there is no clone, no venv setup, and no manual pip install on your side. 2.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.
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