AIBase
EN
Explore
MCP Servers For Developers
M

MCP Servers For Developers

This document categorizes and organizes various Model Context Protocol (MCP) servers to help developers integrate AI models with resources such as databases, file systems, APIs, cloud services, and automation tools.
Developer toolsArtificial intelligence chatbots#File System#Version Control#Database#AI Service
2 points
9.4K
Open Site

Overview

Content Details

Alternatives

What is an MCP Server?

The MCP (Model Context Protocol) server is a middleware tool designed to help developers interact with local or remote resources through AI models. These resources include file systems, databases, cloud storage, development tools, etc.

How to Use an MCP Server?

Users can connect to the MCP server through simple configuration and commands, and then access various resources and perform operations. For example, uploading files, querying databases, or controlling automated tasks.

Applicable Scenarios

The MCP server is suitable for scenarios that require the integration of AI models with multiple types of resources, such as enterprise-level application development, data analysis, and optimization of automated processes.

Main Features

File System Access
Allows AI models to directly access local or remote file systems, supporting reading, writing, and managing files.
Database Query
Supports the connection and operation of multiple databases (such as PostgreSQL and MySQL), providing SQL query and data analysis capabilities.
Version Control System Integration
Supports seamless docking with version control systems such as Git, GitHub, and GitLab, facilitating code management and collaboration.
AI Service Integration
Provides support for mainstream AI services such as OpenAI and HuggingFace, enhancing model functionality.
Advantages
Simplify complex resource configuration and operation processes
Support a unified interface for multiple platforms and various resource types
Improve work efficiency and reduce development costs
Limitations
Some advanced features may require additional configuration
Some services may be restricted by the network environment

How to Use

Install the MCP Server
Download and install the MCP server software, ensuring that the environment meets the minimum requirements.
Configure Connection Parameters
Set the connection information of the target resources according to your needs, such as the database URL and API key.
Test the Connection
Run a test command to verify the connection status with the resources.

Usage Examples

File Upload Example
Upload a local file to remote storage through the MCP server.
Database Query Example
Retrieve user data from a PostgreSQL database.

Frequently Asked Questions

Does the MCP server support a multilingual environment?
How to handle the problem of insufficient permissions?

Related Resources

Official Documentation
Detailed installation guides and user manuals
GitHub Code Repository
Source code repository and community discussion area
Tutorial Video
Quick start video demonstration

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
4.9K
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
5.4K
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
4.9K
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
6.3K
4 points
P
Paperbanana
Python
6.4K
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
6.1K
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
7.6K
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
7.4K
5 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
21.5K
4.5 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
24.7K
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
73.3K
4.3 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
34.6K
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#
32.5K
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
64.8K
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
21.1K
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
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase