liter-llm MCP Reference
SkillDocs & knowledgeUse liter-llm mcp reference documentation.
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the liter-llm MCP Reference skill
What this skill tells your AI
The instructions your AI receives, as published by xberg-io/liter-llm in .agents/skills/mcp/SKILL.md and read by ahel’s review.
Use this skill when integrating liter-llm through Model Context Protocol tools, prompts, or resources.
cancel_batch: Cancel an in-progress batch processing jobcancel_response: Cancel an in-progress response (Responses API)chat: Send a chat completion request to an LLMcreate_batch: Create a new batch processing jobcreate_file: Upload a file to the LLM providercreate_response: Create a new response (Responses API)delete_file: Delete an uploaded fileembed: Generate text embeddings for the given inputfile_content: Retrieve the raw content of an uploaded filegenerate_image: Generate images from a text promptlist_batches: List batch processing jobslist_files: List uploaded fileslist_models: List available models from configured providersmoderate: Check content against moderation policiesocr: Extract text from an image or document via OCRrerank: Rerank documents by relevance to a queryretrieve_batch: Retrieve a batch processing job by IDretrieve_file: Retrieve metadata for an uploaded fileretrieve_response: Retrieve a response by ID (Responses API)search: Perform a web or document searchspeech: Generate speech audio from text (text-to-speech)transcribe: Transcribe audio to text (speech-to-text)
Signals
- GitHub stars
- 252
- Forks
- 21
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
mcp-3- Source
- github.com/xberg-io/liter-llm