AIBase
EN
Explore
MCP Portal
M

MCP Portal

The MCP portal is the official community platform for the Model Context Protocol, providing resources such as documentation, practical guides, server implementations, and tool integrations. It supports AI models to access external tools through the MCP protocol, covering a wide range of scenarios from database connections to multimodal applications.
Developer toolsArtificial intelligence chatbots#AI protocol#Tool integration#Community platform#Interaction experiment.JavaScript
2.5 points
8.9K
Open Site

Overview

Content Details

Alternatives

What is an MCP server?

The MCP server is an implementation of the Model Context Protocol, serving as a bridge between AI models and external tools. It processes model requests, performs tool operations, and returns results while ensuring security and controllability.

How to use an MCP server?

Connect AI models to the MCP server through simple API calls or configurations. The server manages the entire process of tool registration, request routing, and result return.

Use cases

Suitable for any scenario where an AI model needs to access external data or tools, such as data analysis, document processing, and customer service automation.

Main features

Tool integration
Supports seamless integration of multiple tools, including databases, APIs, browsers, etc.
Security control
Fine-grained permission management and access control to ensure data security
Scalability
Modular design, easy to add new tools and features
Monitoring and logging
Comprehensive request logging and performance monitoring
Advantages
A unified interface simplifies the interaction between AI models and tools
Enhanced security to prevent direct access to sensitive systems
Performance optimization to reduce communication overhead between models and tools
Supports multiple programming languages and platforms
Limitations
Requires additional infrastructure deployment
There may be delays in some scenarios with high real-time requirements
Developing adapters is required for integrating new tools

How to use

Install the MCP server
Deploy the MCP server via Docker or a direct installation package
Configure tools
Register the tools to be used in the configuration file
Connect the AI model
Configure the AI model to use the MCP server as the tool interface
Send requests
The AI model sends tool requests through the standard MCP protocol

Usage examples

Weather query
The AI model obtains real-time weather data through the MCP server
Database query
Retrieve product information from the enterprise database
Document processing
Parse the uploaded PDF document and extract key information

Frequently Asked Questions

What's the difference between an MCP server and direct API calls?
How to ensure the security of the MCP server?
Which programming languages are supported?
How much performance overhead is there?

Related resources

MCP Protocol Specification
Official technical specification of the MCP protocol
MCP Server GitHub Repository
Open-source implementation of the MCP server
MCP Getting Started Video Tutorial
A 30-minute quick start guide to MCP
Community Forum
A platform for MCP users to discuss and exchange

Installation

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

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
5.7K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.8K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.2K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
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
13.1K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.0K
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
9.7K
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
10.0K
4 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
17.5K
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
28.6K
5 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
17.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.9K
4.3 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
51.3K
4.5 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#
24.3K
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
17.2K
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
75.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase