MCP Local Spec
M

MCP Local Spec

This specification defines the standard configuration method for a local MCP server. Server information is described by creating Markdown files in the specified directory for LLMs to parse and use.
2.5 points
9.6K

What is the Production Jonnyzzz MCP Server?

This is an enterprise-level MCP server that provides computing, storage, and network services for AI tools. It can help enhance the capabilities of LLMs and allow AI tools to access more resources and functions.

How to use this MCP server?

AI tools will automatically discover and connect to this server. You just need to ensure that the server is running properly, and AI tools will use the services it provides when needed.

Use cases

Suitable for AI application scenarios that require additional computing resources, storage space, or network services, especially for complex task processing in production environments.

Main Features

Computing Power
Provides powerful computing resources to support AI tools in processing complex tasks
Storage Service
Provides a reliable storage solution to support big data processing
Network Function
Optimized network connection to ensure data transmission efficiency
Multi-region Support
Supports deployment in multiple regions such as us-east and eu-west
Advantages
High-performance computing resources to enhance AI processing capabilities
Support for a stable production environment
Multi-region deployment to improve availability
Standardized API interfaces for easy integration
Limitations
Requires OAuth2 authentication, and the configuration is slightly complex
Only supports the v2 API version
Priority is given to the production environment, and it may not be suitable for development and testing

How to Use

Ensure the Server is Running
Confirm that the MCP server is running properly at https://mcp-prod.jonnyzzz.com:8443
Configure Authentication
Use OAuth2 authentication and prepare the Client ID and access token
Select a Region
Select the us-east or eu-west region according to your needs

Usage Examples

Large-scale Data Processing
When an AI tool needs to process a large amount of data, it can automatically call the storage and computing capabilities of the MCP server
Cross-region Service
When low-latency access to data in different regions is required, you can select the MCP server in the corresponding region

Frequently Asked Questions

How can I know if an AI tool is using this MCP server?
What should I do if the server fails?
Can I use multiple MCP servers simultaneously?

Related Resources

MCP Official Documentation
Understand the basic concepts and working principles of the MCP protocol
OAuth2 Authentication Guide
Learn how to configure OAuth2 authentication

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.6K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.8K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.8K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.7K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.4K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.2K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.4K
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
31.8K
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
23.5K
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
19.5K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
66.2K
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#
30.3K
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
61.2K
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
20.1K
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
43.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase