Build your project for production, auto-detecting the framework from package.json. Use before deploying to ensure the project compiles correctly.
MIT
458,064 tools. Updated 2026-08-14 20:18
"Guide to Deploying a Large Language Model Framework" matching MCP tools:
- Delete a Cognigy.AI large language model configuration. Features using this model stop working. Use dryRun parameter to validate before deletion.MIT
- Read this guide to learn Posecode language grammar, joints, and actions before writing a movement.Apache 2.0
- Test the connection to a Cognigy.AI large language model provider to validate credentials and reachability before using it in flows.MIT
- Lists large language model configurations for Cognigy.AI generative AI features like Knowledge AI and AI Agents, showing provider, model type, and connection info, with pagination and filtering options.MIT
- Retrieves detailed configuration of a specific large language model, including provider settings, model type, connection details, and fallback configuration.MIT
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- Detect programming language and test framework from source code. Input either raw code or file path.MIT
- Pre-download a Whisper model for audio transcription. Choose a model size—tiny, base, small, medium, or large-v3—to balance speed and accuracy.Apache 2.0
- Transcribe only the currently selected audio region in Audacity. Runs in the background and returns a job ID, with language auto-detection or explicit language and translation options available.Apache 2.0
- Retrieve a topical context guide with partial topic matching. Large guides return a chunked summary; specify a section slug for detailed content or 'all' for the full guide.MIT
- Download model artifacts from Kaggle to a work directory by specifying a model version (owner/model/framework/variation/version).MIT
- Returns a testing template tailored to the source file's framework, including baseline scenarios and test file path patterns. Falls back to language baseline if framework is unrecognized.MIT
- Retrieve all available Large Language Model providers to compare options and select the right model for your use case.MIT
- Lists available MCP server templates with name, language, framework, and entry point details to help you select a starting point for scaffolding new servers.MIT
- Provides structured scaffolding for a SCENARIO PLAN, specifying language, framework, depth, adversarial count, baseline scenarios, and test file path.MIT
- Get framework-specific setup instructions for adding Fumadocs to existing projects using Next.js, React Router, TanStack Start, or Waku.MIT
- Generate new code from natural-language instructions using a local Ollama model. Optionally provide a context file to guide style and API usage.MIT
- Scan all projects in your workspace to find outdated dependencies. Auto-detects language and framework, with filters for targeted checks.MIT
- List connected repositories with their analysis status, language, and framework.MIT
- Analyzes PHP files to identify refactoring opportunities: extract methods, reduce complexity, improve framework usage, split large classes.