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Validate AI-generated 1C:Enterprise BSL code against the real platform API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bsl-context" yet — see the docs or source repo.
Use bsl-context to check this AI-generated 1C:Enterprise BSL code for unknown enum values, wrong argument counts, and missing type members, then suggest fixes: <paste code>
A list of validation errors with code locations and suggested fixes.
I asked an AI to complete a 1C:Enterprise method call. Use bsl-context to verify whether it matches the platform API and explain which parameters or members are invalid: <paste snippet>
Whether the call is valid, the exact mismatches, and corrected alternatives.
Explain how to add bsl-context as an automatic validation step after AI generates 1C:Enterprise BSL code, and provide an example workflow that returns an error summary on failure.
Integration guidance including validation steps, failure handling, and an example error summary.
Search and analyze 1C metadata and BSL code with natural language.
Index and explore Rust and BSL codebases for faster analysis and navigation.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Validate JSON, emails, and other inputs for agents and applications.
Analyze code structure and Git history while drastically reducing AI token usage.
Audit any MCP server.json for official MCP spec compliance.