MCP Server Browser Use Ollama
Project Summary: Introduces a scalable backend codebase structure inspired by Netflix dispatch, including the organization of services, models, views, prompts, and routes, and references fastapi best practices.
rating : 2.5 points
downloads : 7.0K
What is the MCP Server?
The MCP Server is a backend service designed to efficiently manage AI model contexts, prompts, and related operations in a scalable manner. Through a structured API, it helps you organize and provide information related to AI models in an orderly fashion.Why choose the MCP Server?
The MCP Server provides centralized context management for your AI development process, simplifying prompt engineering and improving maintainability. Whether you're building internal tools or providing APIs externally, the MCP Server is a powerful solution.Core Features
Support for multiple AI models, flexible context definition, and a scalable architecture design enable your applications to easily integrate and manage complex AI workflows.Features
Advantages and Disadvantages Analysis
How to Use
Install the MCP Server: Install the MCP Server via pip or other package management tools.
Initialize the configuration: Create and configure your context and model settings.
Start the service: Run the MCP Server to start providing services.
Usage Examples
Frequently Asked Questions
Why split the context manager into independent files?
Can more routing files be added?
How to handle context conflicts?
More Information
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