by jonigl · MCP Server · ★ 95
Provides an API layer in front of the Ollama API, seamlessly adding tools from multiple MCP servers so every Ollama request can access all connected tools transparently. Ollama MCP Bridge Table of Contents Features Requirements Installation Quick Start Or, install from PyPI with pip Or, run with Docker Compose ✨NEW [Or, run with
| Stars | 95 |
| Forks | 34 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.3531232966996/100 |
| Open Issues | 12 |
| Last Updated | 2026-06-25 |
| Created | 2025-06-13 |
| Platforms | cli, docker, mcp, python |
| Est. Tokens | ~19k |
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ollama-mcp-bridge is Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Fully compatible, transparent, and developer-friendly, ideal for building powerful local LLM . It is categorized as a MCP Server with 95 GitHub stars.
ollama-mcp-bridge is primarily written in Python. It covers topics such as ai, ai-agents, api.
You can find installation instructions and usage details in the ollama-mcp-bridge GitHub repository at github.com/jonigl/ollama-mcp-bridge. The project has 95 stars and 34 forks, indicating an active community.
ollama-mcp-bridge is released under the MIT license, making it free to use and modify according to the license terms.