Search SFRA documentation to find implementation details for controllers, models, routing, middleware, cart functionality, and customer management.
MIT
523,718 tools. Updated 2026-09-06 13:58
"Adding functionality to large language models" matching MCP tools:
- Retrieve all available large language model providers to identify which models you can access. Returns a complete list of supported LLM vendors.MIT
- Generate machine-readable permission guidelines for AI models by creating standardized llms.txt files that define how large language models should interact with websites.MIT
- Generate a standardized llms.txt file that defines how large language models interact with your website. Specify allowed URLs and permissions for AI agents.MIT
- Generate machine-readable permission guidelines for AI models by creating standardized LLMs.txt files that define how large language models should interact with websites.MIT
- List AI models recognized by SOIF, including size tier and default hosting. Review how unknown models fall back to the large tier.MIT
Matching MCP Servers
- FlicenseAqualityBmaintenanceEnables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.8-
- AlicenseAqualityDmaintenanceClassifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.341MIT
Matching MCP Connectors
61 verified financial models plus household planning and coordination tools; specs cited.
- Content to SocialOAuth
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- Retrieve SFRA documentation filtered by functional categories like core classes, product models, order/cart functionality, customer management, pricing, or store models to explore related documentation and understand functional groupings.MIT
- Query your API graph with natural language to find routes, models, and middleware. Identify unprotected routes or unused models.MIT
- Locate functions, classes, and files matching a natural language description to understand where functionality lives and avoid duplicating existing code.MIT
- List vision-language models with their prompts and capabilities. Discover available models to select the right one for your image tasks.-
- Search Gene Ontology Causal Activity Models (GO-CAMs) by title, state, contributor, group, publication, or gene product to find specific models with metadata.BSD 3-Clause
- Create new content entries in Contentrain CMS with automatic system field generation, supporting localized models and draft/publish status management.-
- Discover available LLM models for brand monitoring. Use to select specific models before creating a project or running a scan.MIT
- Perform deep forensic safety checks for high-stakes crypto transactions. Covers cross-chain analysis, multi-language data, and detailed reasoning for due diligence on large transfers and fraud investigations.MIT
- Browse registered generation models to see names, IDs, target LLM configs, and creation timestamps. Identify available models for testing.Apache 2.0
- Get complete file context: symbols, imports, exports, and dependent files. Includes cross-language calls and supports line ranges for reading large files in chunks.Business Source 1.1
- List available voices for AI agents, returning voice IDs, gender, language, and supported models to help configure an agent's voice.MIT
- List, load, or unload models on a local LLM server to switch active models in LM Studio without opening the GUI.Apache 2.0
- Send messages to Zhipu GLM models through AceDataCloud to generate chat completions for conversational AI, Chinese language understanding, and reasoning tasks.MIT
- Retrieve search volume data for keywords in AI large language models to optimize content strategies.Apache 2.0
- Generates integration workflow and code snippets for implementing Chargebee functionality, such as creating subscriptions or handling webhooks, based on your goal and preferred programming language.MIT