Ollama MCP Server (Daniel Steigman)

Ollama local LLM management and chat completion via the Model Context Protocol.

Data last scanned yesterday · Reviewed today

Overview

This MCP server provides a bridge between the Ollama local model ecosystem and MCP-compatible clients. It enables users to pull, push, and list local models, as well as create custom instances from Modelfiles, directly through an interface that mirrors the OpenAI chat completion API. Developers can manage Ollama server settings and execute complex prompts with configurable parameters such as temperature and timeout. The server is designed to integrate into environments like Claude Desktop, allowing for granular control over model execution and local model registry management.

Our verdict

With a security score of 10/100, this server carries a high-risk rating. This score reflects significant maintenance concerns, specifically that the last commit was 573 days ago and the project lacks an explicit open-source license. Given the lack of active updates and unverified security status, this tool should be treated as experimental and is not recommended for production or sensitive environments.

  • Supports full Ollama API management and model lifecycle operations
  • Provides an OpenAI-compatible interface for chat completion
  • Features a small footprint with only two direct dependencies
  • Stagnant development with no commits in over 570 days
  • No open-source license provided for legal compliance
  • Community-maintained project with single-contributor bus-factor risk

Compatibility

No compatibility data yet.

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Ollama MCP Server (Daniel Steigman) security score, rated on RepoAI

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