Davidlin2k Onos MCP Server
D

Davidlin2k Onos MCP Server

An MCP service implementation based on the ONOS controller, providing network control and management functions, supporting access to more than 30 resources such as devices, topologies, and flow tables through REST APIs, including 9 types of diagnostic configuration prompts and more than 20 network management tools, suitable for SDN teaching, research, and prototype development.
2 points
6.4K

What is the ONOS MCP Server?

The ONOS MCP Server is an SDN controller based on ONOS, used to provide network control and management capabilities. It enables comprehensive management of network devices, traffic, applications, and performance through REST APIs, and is suitable for education, research, and prototype development.

How to Use the ONOS MCP Server?

You can manage your network by installing, configuring, and running the ONOS MCP Server. Access network resources through REST APIs and use built - in tools to perform advanced operations.

Applicable Scenarios

The ONOS MCP Server is suitable for scenarios that require centralized network management, such as teaching environments, enterprise network optimization, and SDN experiments.

Main Features

Rich API Resources
Provides more than 30 dynamic resource interfaces covering network elements such as devices, links, hosts, and flow tables.
Diagnose Network Problems
Interactive prompts help identify network faults and performance bottlenecks.
Design Network Flows
Assist in creating traffic isolation, load balancing, and security policies.
Network Health Report
Generates device availability, performance metrics, and bottleneck analysis.
SDN Migration Planning
Guides the step - by - step migration plan from traditional networks to SDN.
Advantages
Powerful REST API support, easy to integrate into existing systems.
Real - time monitoring and analysis of network status.
Flexible toolset, suitable for various application scenarios.
Limitations
Requires the ONOS controller as the basic platform.
May require high hardware resource requirements.
Beginners may need to learn the basics of ONOS.

How to Use

Install the ONOS MCP Server
Install and configure the ONOS MCP Server according to the instructions in the documentation.
Configure Environment Variables
Set the base URL, username, and password of the ONOS API.
Access Network Resources
Use the provided REST API interfaces to query information about network devices, hosts, and flow tables.

Usage Examples

Get Network Summary
Use the get_network_summary command to get a network overview.
Add Network Flow Rules
Use the add_flow command to add flow rules to the specified device.

Frequently Asked Questions

Does the ONOS MCP Server require additional software support?
How to view the network topology?

Related Resources

ONOS Official Documentation
The official documentation of the ONOS controller.
GitHub Repository
The open - source code repository of the ONOS 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
6.0K
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
6.0K
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
15.0K
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
5.8K
4 points
P
Paperbanana
Python
7.2K
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
8.5K
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
6.9K
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
8.1K
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
36.8K
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
26.7K
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
74.5K
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
21.5K
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#
35.8K
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
66.1K
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
21.9K
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
100.3K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase