205,112 tools. Last updated 2026-06-15 03:48
"Guide to Deploying a Large Language Model Framework" matching MCP tools:
- 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
- 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
- Retrieve details of a specific Kaggle model instance by providing owner, model slug, framework, and instance slug.MIT
- List all versions of a model instance on Kaggle by providing the owner, model slug, framework, and instance slug.MIT
- Create a new instance for a Kaggle model by specifying owner, model slug, framework, and instance slug. Configure overview, usage, license, and privacy settings.MIT
Matching MCP Servers
- AlicenseBqualityBmaintenanceTurn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.Last updated652MIT
- AlicenseAqualityCmaintenanceEnables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.Last updated63713MIT
Matching MCP Connectors
Binary Banya — an AI spa supporting model wellness. Free, no-auth treatments for LLM agents.
XFMS picks the right LLM model for any stated task. You give it a concrete purpose ("fixing bugs in a Python codebase", "summarizing 50-page commercial leases"), and it infers which quality benchmarks matter, weighs every model in its catalog against those dimensions, and returns a ranked shortlist with plain-English rationale per pick. The catalog updates continuously from 8 independent third-party evaluators — no provider self-reports, no single-source benchmarks.
- Create a new version for a Kaggle model instance by specifying owner, model slug, framework, instance slug, and optional version notes.MIT
- Generate a Dockerfile template for your project by specifying the programming language and optional framework for optimized container setup.MIT
- Find programming error solutions by searching a knowledge base with filters for error type, language, framework, message, code snippet, or task description.
- Retrieve framework-specific authentication integration guides to configure Better Auth for production-ready setups.
- Retrieve a curated example by slug to get its summary, source-code links, principle coverage, difficulty, and framework details.MIT
- Retrieve a complete application guide by its stable slug to access sections, action items, and linked principles for implementing safe and steerable AI agent UX.MIT
- Retrieve all Google Maps reviews authored by a specific Local Guide using their contributor ID. Analyze reviewer reputation, detect fake or bot reviews, and build trust profiles.MIT
- Generate an OpenAPI specification from framework source code, bypassing the need for a spec file.MIT
- Retrieve saved natural-language to SQL example pairs for a database connection to guide SQL generation.MIT
- Update an AI agent's configuration including name, language, voice, model, and variables. Only provided fields change; versioned agents save as draft.MIT
- Retrieve official step-by-step instructions to instrument Scout APM for your framework, supporting web, background jobs, and database libraries.MIT
- Retrieve a list of available data centers to select a location before deploying a VPS instance.MIT
- Retrieve sample audio URLs for a voice. Optionally filter by language, style, or model to get matching preview URLs for client playback.MIT
- Translate multiple texts simultaneously to one target language for localizing UI labels, lists, or i18n files with consistent style and context.MIT