AIBase
EN
Explore
Neo4j Graph Database
N

Neo4j Graph Database

A model context protocol (MCP) SDK implemented in Python for building standard servers and clients interacting with LLMs
Developer toolsArtificial intelligence chatbots#AI Protocol#LLM Interaction#Python SDK#Context Management.Python
2 points
9.7K
Open Site

Overview

Content Details

Alternatives

What is an MCP Server?

An MCP server is a tool that allows applications to provide context for large language models (LLMs). It separates the responsibilities of providing context and interacting with LLMs through a standardized protocol, enabling developers to easily build and integrate custom features.

How to Use an MCP Server?

You can start using an MCP server in just a few simple steps. You need to install a Python environment, run the server script, and integrate it into your LLM application.

Applicable Scenarios

MCP servers are well - suited for scenarios such as data analysis, automated tasks, personalized recommendations, and complex system interactions.

Main Features

Resource Management
An MCP server can expose static or dynamic data, which can be part of the LLM context.
Tool Support
The server can provide computing functions and side - effect handling, such as executing SQL queries or calling external APIs.
Template Prompt
Guide the LLM to complete specific tasks through predefined prompt templates.
Image Processing
The server can generate and process images, facilitating the display of visual content in LLM interactions.
Advantages
Unified interface for easy integration of different applications with LLMs.
Strong scalability, supporting multiple resources, tools, and prompt templates.
Standard protocol to ensure cross - platform compatibility.
Limitations
Requires a certain programming foundation to set up and maintain the server.
Some advanced features may be complex for beginners.

How to Use

Install Dependencies
Create a virtual environment and install the required dependency packages.
Start the Server
Start the MCP server using uvicorn or other tools.
Integrate into LLM Application
Add the MCP server to your LLM application and test its functionality.

Usage Examples

Resource Example
Query the database table structure through the resource manager.
Tool Example
Use tools to execute SQL queries.

Frequently Asked Questions

Which programming languages does the MCP server support?
How to add custom tools?
How is the security of the MCP protocol ensured?

Related Resources

Official Documentation
Complete documentation and specifications of the MCP protocol.
GitHub Repository
Open - source code repository for the MCP Python SDK.
Video Tutorial
Video tutorial for quickly getting started with the MCP server.

Installation

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

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
10.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.9K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
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
39.0K
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
81.2K
4.3 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
27.2K
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
24.8K
4.5 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
69.4K
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#
37.3K
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
24.9K
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
56.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase