MCP Server Setup
M

MCP Server Setup

MCP is a Python service framework that supports quickly creating local or HTTP services through tool functions and provides multiple running modes and client interaction modes.
2 points
8.0K

What is the MCP Server?

The MCP server is a tool integration platform based on the Model Context Protocol. It allows developers to easily create and deploy tools (such as AI models or computing services) and interact with other systems through standard interfaces.

How to Use the MCP Server?

Through the MCP server, you can quickly define and run tools and call these tools in the client. It supports multiple connection methods, such as standard input/output (stdio) and Server-Sent Events (SSE).

Applicable Scenarios

The MCP server is suitable for scenarios that require efficient integration of multiple tools, such as AI toolchains, data analysis platforms, or distributed computing environments.

Main Features

Tool Definition and Management
Supports developers to define tools through simple code, such as adding input parameters and output results.
Multi-Protocol Support
Compatible with standard input/output (stdio) and Server-Sent Events (SSE), allowing you to choose the communication method according to your needs.
Cross-Platform Integration
Can be deployed in different environments, supporting local development and remote server operation.
Advantages
Simplify the tool integration process and reduce development costs.
Support flexible communication protocols to adapt to various application scenarios.
Easy to expand, allowing you to quickly add new tools and functions.
Limitations
Has a certain dependence on the network environment, which may affect the efficiency of remote communication.
Some advanced functions require a certain programming foundation to implement.

How to Use

Install the MCP Tool
Ensure that the MCP toolkit is installed. You can install it via pip: `pip install mcp-server`.
Write an MCP Server Script
Define tools and services according to your needs and save them as a Python script file.
Start the MCP Server
Run the script to start the MCP server, supporting multiple modes (such as development mode or production mode).
Test and Call Tools
Connect to the server through the client and call the defined tools.

Usage Examples

Example 1: Define a Tool Using the MCP Server
Define a simple greeting tool that receives a user name and returns a greeting message.
Example 2: Call a Tool via HTTP
Use the SSE protocol to call the tool, suitable for distributed systems.

Frequently Asked Questions

Which communication protocols does the MCP server support?
How to install the MCP toolkit?
Does it support multi-language tool integration?

Related Resources

MCP Official Documentation
The official documentation provides detailed usage guides and technical references.
GitHub Code Repository
An open-source code repository containing example projects and community contributions.
MCP Community Forum
A platform for user communication and problem discussion.

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.0K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.0K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.3K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
8.8K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.9K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.5K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.7K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.9K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.2K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.0K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
20.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
87.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase