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Orchestrate multiple AI backends and MCP tools into composable workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "woollama" yet — see the docs or source repo.
Help me design a woollama configuration that uses local Ollama for everyday chat, Anthropic for complex reasoning, and includes example routing rules to automatically choose models by task.
A reference routing configuration describing model roles, sample rules, and invocation logic.
Use woollama to design an AI workflow that first calls an MCP search tool to gather information, then sends it to a model for summarization, and finally outputs structured conclusions and next-step recommendations.
An end-to-end workflow example showing tool order, model handoff, and final output structure.
Create a reusable woollama recipe for code review: after receiving a code snippet, first check for potential bugs, then provide performance and maintainability suggestions, and return results in a consistent format.
A reusable recipe design including input/output conventions, processing steps, and a standardized response format.
Connect Ollama to MCP clients for real-time web search and content fetching.
Connect Ollama Cloud models to MCP for chat, search, and web fetching.
Connect local Ollama to MCP apps for chat, model management, and generation.
Offload token-heavy development tasks to local Ollama models and save API usage.
Query and analyze SQLite databases in natural language with Ollama via MCP.
Securely connect MCP clients to local Ollama models with RAG and caching.