No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by oOo0oOo · MCP Server · ★ 477
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is lean-lsp-mcp safe to install? View the security audit →
lean-lsp-mcp Lean Theorem Prover MCP MCP server that allows agentic interaction with the Lean theorem prover via the Language Server Protocol using leanclient. This server provides a range of tools for LLM agents to understand, analyze and interact with Lean projects. Key Features Rich Lean Interaction: Access diagnostics, goal states, term information, hover documentation and more. External Search Tools: Use , , , and to find relevant theorems and definitions. Easy Setup: Simple configuration for various clients, including VSCode, Cursor and Claude Code. Setup Overview Install uv, a Python package manager. Make sure your Lean project builds quickl
| Stars | 477 |
| Forks | 76 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.8374412219367/100 |
| Last Updated | 2026-08-19 |
| Created | 2025-03-29 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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lean-lsp-mcp is Lean Theorem Prover MCP. It is categorized as a MCP Server with 477 GitHub stars.
lean-lsp-mcp is primarily written in Python. It covers topics such as lean4, lsp, mcp.
You can find installation instructions and usage details in the lean-lsp-mcp GitHub repository at github.com/oOo0oOo/lean-lsp-mcp. The project has 477 stars and 76 forks, indicating an active community.
lean-lsp-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lean-lsp-mcp on Agent Skills Hub include cclsp, open-ontologies, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: