Our MCP Ollama Server is getting better and better every day and we are happy to share it with you.

Interactive Chat

Multi-turn conversations with any local Ollama model. Supports tool calling, structured outputs, and image inputs.

Text Generation

Generate completions with configurable parameters — temperature, top_p, top_k, repeat penalty, and stop sequences.

Model Management

List, inspect, pull, and delete models directly from your AI assistant. No terminal needed.

Vector Embeddings

Generate embeddings for text using models like nomic-embed-text. Power your RAG pipelines and semantic search.

Hot-Swap Architecture

Zero-config tool discovery — drop a new tool file in the tools directory and it's automatically registered.

Hybrid Local + Cloud

Run local models and Ollama Cloud models seamlessly from one server. Use the right model for the job.

Drop-in Integration

Works out of the box with Windsurf, VS Code, and any MCP-compatible client. Just add the server config.

Python Native

Built with async/await, Pydantic models, and Poetry. No Node.js required — pure Python, minimal dependencies.