Retrieve configured Large Language Models on Polarion to verify AI availability and select a valid model for generation. Paginated; empty result signals no LLM configured.
MIT
650,501 tools. Updated 2026-10-13 21:47
"Adding functionality to large language models" matching MCP tools:
- Search SFRA documentation to find implementation details for controllers, models, routing, middleware, cart functionality, and customer management.MIT
- Retrieve all available large language model providers to see which models are supported for your AI workflows.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 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
Matching MCP Servers
- FlicenseAqualityBmaintenanceEnables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.8-
- AlicenseAqualityBmaintenanceProvides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.51 npmMIT
Matching MCP Connectors
Ask Claude, GPT, Grok, GLM, Kimi or DeepSeek from your client; token price plus a $0.001 call fee.
Ask any text model in the TopxAI catalogue (Claude, GPT, Grok, GLM, Kimi, DeepSeek) from inside another model's conversation: a second opinion, a review, or a model the host does not have. Tools: list_models (models, USD prices per million tokens and the call fee) and ask_model. Authenticate with a TopxAI API key as a Bearer token; billed at the model's token price plus a $0.001 call fee. Docs: https://ai.topxea.com/mcp
- List AI models recognized by SOIF, including size tier and default hosting. Review how unknown models fall back to the large tier.MIT
- 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
- Find existing memories with natural language queries, preventing duplicates when adding new information.Apache 2.0
- 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: all defined symbols, imports, exports, and files that import from it, plus cross-language connections like REST calls and subprocess calls. Supports line ranges for large files.Business Source 1.1
- List data models and content types defined in the current workspace to check existing structures and answer whether specific models exist.MIT
- 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