Compile and verify Lean 4 proofs and theorems through MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lean-mcp" yet — see the docs or source repo.
Use lean-mcp to compile and verify the following Lean 4 code, identify any error locations, and suggest fixes that make it pass: lean import Mathlib theorem add_zero_example (n : Nat) : n + 0 = n := by simp
Returns the compilation result, pass/fail status, and any needed error explanation or fix suggestions.
Use lean-mcp to inspect why this Lean 4 proof fails, explain step by step why the tactic does not work, and provide a corrected version: lean import Mathlib theorem wrong_example (a b : Nat) : a + b = b + a := by rfl
Provides the failure reason, error context, and an alternative proof that compiles successfully.
Use lean-mcp to verify whether the following code correctly imports and uses Mathlib; if not, add the needed imports or rewrite the proof: lean import Mathlib theorem list_len_nil : List.length ([] : List Nat) = 0 := by rfl
Explains whether the dependencies are sufficient, whether the code passes, and provides a final working version.
Self-hosted Linear MCP with minimal fields to cut tokens and agent costs.
Interactively develop Agda proofs by loading files, inspecting goals, and applying proof actions.
Enable AI agents to compile LaTeX and inspect logs, dependencies, and citations.
Use Agda in MCP clients for checking, navigation, and proof assistance.
Build, debug, and manage software tasks with natural language across LLMs.
Access semantic code tools like definitions, references, rename, and diagnostics.