AIBase
EN
Explore
Rag MCP Server
R

Rag MCP Server

Git LFS version management file, containing SHA256 checksum and file size information
Developer toolsArtificial intelligence chatbots#Version management#File storage#Git extension.Python
2 points
7.3K
Open Site

Overview

Tools List

Content Details

Alternatives

What is an MCP server?

The Model Context Protocol (MCP) server is a standardized communication protocol specifically designed for secure interactions between AI models and external tools, services, and data sources. It acts as a bridge between AI models and the external world, enabling models to securely access and utilize various external resources.

How to use an MCP server?

Using an MCP server typically requires configuring a client connection, setting up necessary authentication information, and then accessing various tools and services through standardized API calls. The entire process emphasizes security and controllability.

Use cases

The MCP server is suitable for scenarios where AI models need to access external tools, execute code, query databases, call APIs, or process files, especially in enterprise environments where security and controllability need to be ensured.

Main features

Secure interaction
Provides a secure sandbox environment and permission control to ensure that interactions between AI models and external services do not pose security risks.
Standardized protocol
Based on a unified protocol standard, it ensures compatibility and interoperability between different tools and services.
Scalable architecture
Supports easy addition of new tools and services without modifying the core protocol.
Monitoring and logging
Provides complete interaction logs and monitoring functions for easy debugging and auditing.
Advantages
Expand the capabilities of AI models, enabling them to use external tools
Standardized interfaces reduce integration complexity
Security mechanisms protect system and data security
Good scalability and maintainability
Limitations
Requires additional configuration and deployment work
May incur performance overhead
Depends on the availability of external services
The learning curve may be steep for non-technical users

How to use

Installation and configuration
First, install the MCP server and configure basic settings, including the port, authentication method, etc.
Connect the client
Configure the AI client to connect to the MCP server and set the correct endpoint address and authentication information.
Register tools
Register the tools and services you need to use on the server and configure the corresponding permissions.
Start using
Send requests through the client, and the MCP server will process the requests and return the results.

Usage examples

Mathematical calculations
Use the MCP server to connect to a calculator tool for complex mathematical operations.
Data query
Query a database through the MCP server to obtain real-time business data.
File processing
Use the MCP server to process and analyze local files.

Frequently Asked Questions

What is the difference between an MCP server and a regular API?
How to ensure the security of an MCP server?
What types of tools and services are supported?
Is the performance overhead large?
How to add custom tools?

Related resources

Official documentation
Complete documentation on the MCP protocol and server usage
GitHub repository
Open-source code and example projects
Quick start guide
Step-by-step getting started tutorial
Community forum
Exchange usage experiences with other users

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