leanscreen
Related Servers
Alternatives to leanscreen
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server that wraps Aristotle's automated theorem prover for Lean 4, allowing AI assistants to fill in proofs, verify lemmas, and formalize natural language into Lean code.15MIT
- AlicenseNot gradedqualityBmaintenanceMCP server that gives LLMs access to formal verification via Z3 and SWI-Prolog, plus tree-sitter-based source code analysis. Translates natural language problems into formal logic using a template-based pipeline, verifies results with mathematical certainty, and analyzes call graphs for reachability, dead code, and impact analysis.72 npm213Apache 2.0
- AlicenseAqualityDmaintenanceMCP server that gives small LLMs verified symbolic-math & logic tools.62Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables verification of Lean 4 mathematical proofs via MCP tools, allowing AI clients to compile and check theorems with Mathlib.1MIT
- AlicenseAqualityDmaintenanceAn MCP server that exposes the Prova reasoning verifier, enabling AI agents to verify their own reasoning and kernel-check Lean 4 proofs before outputting answers.5MIT
- AlicenseAqualityAmaintenanceAirtight math tools an AI uses over MCP — 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.1255 PyPI12Apache 2.0
TDQS
Scored across 2 tools
The two tools are clearly distinct: check_fast is deterministic and free, suitable for frequent checks; check_deep includes LLM judges and costs money, appropriate for final verification. No overlap in purpose.
Both tools use a consistent check_ prefix followed by a descriptive adjective (fast, deep), making their purposes clear and following a predictable pattern.
With only 2 tools, the server is minimal but well-scoped for its purpose: one fast/deterministic screen and one deep/expensive screen. Could benefit from a medium option, but current count is reasonable.
The tools cover the essential workflow: fast frequent checks and deep pre-release verification. A minor gap is the lack of a certification tool, but the descriptions explicitly state neither tool certifies faithfulness, making this intentional.