Bring Llm Management
to LangChain

Connect your Open WebUI instance to any AI agent and take full control of your local and cloud LLM orchestration through natural conversation.

What you can do

• Model Management — Use list_models to fetch all available models including Ollama, OpenAI, and Open WebUI Functions.
• RAG & Knowledge Base — Upload files with upload_file, process web content via process_web_url, and organize them into collections using add_file_to_collection.
• Chat Orchestration — Create and manage backend-controlled chats with create_new_chat or use OpenAI/Anthropic compatible endpoints like chat_completions and send_message.
• Native Ollama Support — Directly interact with the Ollama API using ollama_generate, ollama_tags, and ollama_embed for local inference tasks.
• File Processing — Monitor the status of your document ingestion with get_file_status to ensure your RAG context is ready.

How it works

1. Subscribe to this server
2. Enter your Open WebUI Base URL and API Key
3. Start managing your LLM infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

• AI Engineers — automate the testing of different models and RAG configurations without leaving the terminal or IDE.
• Knowledge Managers — quickly ingest documentation and web URLs into Open WebUI collections via simple commands.
• DevOps Teams — monitor local Ollama instances and manage model availability across the organization.