AIBase
EN
Explore
Docker MCP Portal
D

Docker MCP Portal

The MCP portal is the official community platform for the Model Context Protocol (MCP), providing documentation, practical guides, server implementations, tool integrations, interactive labs, and community resources. It supports AI models to access external tools through the MCP protocol, enabling various functions from web browsing to database access.
Developer toolsArtificial intelligence chatbots#AI communication protocol#Tool integration#Interactive lab#Community resources.JavaScript
2 points
5.5K
Open Site

Overview

Content Details

Alternatives

What is an MCP server?

The MCP server is a bridge connecting AI models (such as Claude) with external tools. Through a standardized protocol, AI can securely perform operations such as searching, data querying, and image generation without directly accessing these systems.

How to use an MCP server?

After developers deploy the MCP server, the AI model interacts with the server through structured requests. The server verifies the requests and performs corresponding operations, and finally returns the results to the model.

Applicable scenarios

It is suitable for scenarios where AI needs to access enterprise data, real - time information, or professional tools, such as customer service automation, data analysis, and content creation.

Main features

Tool integration
Supports integrating multiple external tools and APIs, including search engines, databases, and computing engines, etc.
Fine - grained access control
Provides permission management functions to control which data and tools the AI model can access.
Audit log
Records all operations performed by AI models through MCP for easy tracking and review.
Multi - modal support
Supports processing multiple data types such as text, images, and audio.
Advantages
Securely isolate AI models from sensitive data
Unified management of AI's access permissions to tools
Highly scalable, supports adding new tools
Provides operation audit and tracking capabilities
Limitations
Requires additional infrastructure deployment
Tool integration requires development work
May introduce additional latency

How to use

Deploy the MCP server
Deploy the MCP server using the provided Docker image or source code.
Configure tool integration
Edit the configuration file to add the tools and APIs to be integrated.
Connect the AI model
Specify the MCP server address and authentication information in the AI model configuration.
Start using
The AI model can now access the configured tools through the MCP protocol.

Usage examples

Customer service automation
AI customer service queries customer order information and product databases through MCP to provide personalized services.
Data analysis report
AI analysts access enterprise databases through MCP to generate sales trend analysis.
Content creation
AI writers access the image library through MCP to illustrate articles.

Frequently Asked Questions

What is the difference between an MCP server and direct API calls?
What technical requirements are needed to deploy an MCP server?
How to ensure the security of MCP communication?
Can custom tools be integrated?

Related resources

MCP Protocol Specification
Official technical documentation for the MCP protocol
MCP Server Code Repository
Open - source implementation of the MCP server
Quick Start Video Tutorial
10 - minute quick deployment guide
Community Forum
Exchange experiences with other developers

Installation

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

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
7.6K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
8.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.8K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
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
16.6K
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
14.8K
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
24.5K
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
44.7K
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#
20.2K
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
44.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 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
15.8K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase