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MCP Server Python

MCP is an intelligent dialogue platform server that provides role-based AI advisor services, supports multiple LLM suppliers, semantic memory management, and real-time streaming response, and is suitable for scenarios such as business consulting and technical support.
2 points
13

What is the MCP Server?

The MCP server is a powerful AI-driven platform that provides highly customized intelligent dialogue services for enterprises and individuals by integrating multiple language models (such as OpenAI, Anthropic, Google Gemini) and advanced context management technologies.

How to use the MCP Server?

Users can interact with the MCP server through simple HTTP requests to create custom roles, store memories, and handle complex queries.

Applicable Scenarios

The MCP server is suitable for enterprise customers who need efficient conversational AI, such as small and medium-sized business owners, educational institutions, and technology development teams.

Main Features

Multi-language Model SupportSupports multiple mainstream LLM providers such as OpenAI, Anthropic, and Google Gemini.
Dynamic Context SwitchingAutomatically adjusts role behavior based on user input to ensure dialogue coherence and professionalism.
Multimodal Content AnalysisCan process multiple media types such as text and images simultaneously to enhance response richness.
Memory Management SystemQuickly retrieves historical information through vector similarity search to enhance dialogue fluency.

Advantages and Limitations

Advantages
Supports cross-domain expert role customization
Real-time streaming response improves user experience
Integrates web browsing capabilities for easy research
Flexible role management and permission control
Limitations
Relying on external APIs may increase costs
Requires a certain network environment
Some advanced features require specific hardware support

How to Use

Install and Start the Server
Install Python dependencies and run the server according to the documentation guidelines.
Create a Custom Role
Define the attributes of a new role, such as name, description, and behavior instructions, through a POST request.
Send a Query Request
Submit a query using a POST request and specify the target role ID.

Usage Examples

Create a Financial Advisor RoleDefine a role focused on personal finance to provide retirement planning advice.
Optimize Social Media Marketing StrategyPropose targeted solutions to the marketing problems raised by business owners.

Frequently Asked Questions

Does the MCP server support multiple language models?
How to manage the created roles?

Related Resources

Official Documentation
Comprehensively understand the various functions of the MCP server.
GitHub Repository
View the source code and contribute.
Video Tutorial
Quick start guide.
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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