AIBase
EN
Explore
MCP Server Specs
M

MCP Server Specs

This project contains the specifications and protocol patterns of the model context protocol, provides definitions in both TypeScript and JSON Schema formats, and includes an open - source contribution guide and MIT license.
Developer toolsArtificial intelligence chatbots#Protocol Specification#Open - source Project#TypeScript#JSON Schema.TypeScript
2.5 points
6.9K
Open Site

Overview

Content Details

Alternatives

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is a standardized protocol for connecting and managing model contexts. It allows users to easily share and exchange information between different models, thereby enhancing the performance and flexibility of models.

How to use MCP?

Using MCP is very simple. Just install the client and configure the server to start using it. You can connect to models through simple commands and send and receive data as needed.

Applicable Scenarios

MCP is suitable for scenarios that require cross - model collaboration, such as natural language processing, image recognition, and data analysis. It is particularly suitable for applications that require efficient data sharing.

Main Features

Inter - model Communication
Supports real - time data transmission and interaction between multiple models.
Flexible Configuration
Allows customizing protocol parameters and behaviors according to requirements.
Enhanced Security
Built - in encryption mechanism to ensure the security of data transmission.
Advantages
Powerful cross - model collaboration capabilities
Efficient real - time data transmission
Easy to integrate into existing systems
Limitations
High requirements for the network environment
Some advanced features may require additional configuration

How to Use

Install the MCP Client
Download and install the MCP client software.
Configure the Server
Set the MCP server address and authentication information.
Connect to the Server
Start the client and connect to the server.

Usage Examples

Example 1: Data Sharing
Share model training data within a team.
Example 2: Real - time Inference
Perform real - time inference tasks via MCP.

Frequently Asked Questions

Does MCP support multiple models?
How to solve the network latency problem?
Is MCP free to use?

Related Resources

Official Documentation
Detailed user guides and technical documents.
GitHub Code Repository
Open - source code and example projects.
Community Forum
User communication and support platform.

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
8.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.3K
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
5.1K
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
5.5K
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
8.1K
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
15.7K
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
15.9K
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
24.9K
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
44.3K
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#
20.3K
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
45.1K
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
16.0K
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
29.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase