Python Code Validator
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Connect it
Settings → Connectors → Add custom connector
URL: https://api.statemind.ai/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://api.statemind.ai/mcp{
"mcpServers": {
"python-code-validator": {
"url": "https://api.statemind.ai/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}claude mcp add --transport http python-code-validator https://api.statemind.ai/mcp --header "Authorization: <value>"{
"servers": {
"python-code-validator": {
"type": "http",
"url": "https://api.statemind.ai/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}3 tools, verified live
validate_pythonread-onlyCheck Python source without running it: parse, lint (ruff), type-check (mypy), AST security policy, credential scan. Safe on code you do not trust. Use it on every Python file you generated or edited, before writing it to disk. Alternatives: repair_python to get the corrected source instead of the diagnosis; execute_python to prove the code runs. Auth: a key is required. A free key covers this cal
repair_pythonread-onlyEverything validation does, plus deterministic fixes: the corrected source comes back in fixed_code, and the original is kept whenever the fix cannot be proven safe. The code is still never run. Use it when validation failed and you want the fix rather than the diagnosis. Alternatives: validate_python when the diagnosis is enough; execute_python when the fix has to be proven to run. Auth: a key is
execute_pythonEverything repair does, and then RUNS the code in a throwaway container — no network, read-only filesystem, killed at options.timeout_s — reporting exit code, stdout and stderr. Any '>>>' examples in the code are run too, and one that does not print what it says is an error the other tools cannot see. This is a side effect: do not submit code you do not want executed. Use it when you need proof th
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