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MCP Dev Server Ui
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MCP Dev Server Ui

MCP development server and multi-platform LLM client support
Developer toolsArtificial intelligence chatbots#Development tools#LLM integration#Local services.Python
2 points
6.4K
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Overview

Content Details

Alternatives

What is MCP Dev Server?

MCP Dev Server is a local development server that allows developers to quickly test and debug the behavior of different LLM models in a local environment. It provides a web interface and API endpoints to interact with various language models.

How to use MCP Dev Server?

After starting the server via a simple command line, you can interact with it through the web interface (http://127.0.0.1:6274) or the Python client. It supports access to multiple LLM providers.

Applicable scenarios

It is applicable to scenarios such as AI application development, model effect comparison testing, and prompt engineering debugging. It is especially suitable for development work that requires quick switching between different LLM models.

Main features

Multi-model support
Supports multiple LLM providers such as Ollama, OpenAI, Azure, and Groq
Development tools
Comes with a built-in web development tool interface for easy debugging and testing
Quick model switching
You can switch between different LLM models through a simple API call
Advantages
Local development environment, ensuring data privacy
Access different LLM providers through a unified API interface
Ability to quickly switch between models and conduct comparison tests
Limitations
Requires local development environment configuration
Some advanced LLM features may be restricted
Performance depends on local hardware configuration

How to use

Start the development server
Run the command in the project directory to start the MCP development server
Access the web interface
Open the development tool interface in your browser
Use the Python client
Connect to the server through the Python client and interact with the LLM

Usage examples

Model effect comparison
Quickly test the response differences of the same prompt on different LLMs
Local model debugging
Test the effect of prompt engineering using a local Ollama model

Frequently Asked Questions

How to change the server port?
Which LLM providers are supported?
What Python version is required?

Related resources

Ollama documentation
Documentation for the local LLM runtime environment
OpenAI API reference
Official OpenAI API documentation
Example code repository
Example code for MCP usage

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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