Advanced MCP Server ROS 2
This MCP server facilitates seamless integration of AI agents into ROS2 robotics systems, enabling topic listing, message publishing, service calling, and data retrieval from Data Black Box. It operates within Docker, providing efficient communication with ROS2 components for automation and data analysis tasks.
Added on:
Created by:
Apr 22 2025
This MCP server facilitates seamless integration of AI agents into ROS2 robotics systems, enabling topic listing, message publishing, service calling, and data retrieval from Data Black Box. It operates within Docker, providing efficient communication with ROS2 components for automation and data analysis tasks.
Added on:
Created by:
Apr 22 2025
WiseVision
Featured
What is Advanced MCP Server ROS 2?
The Advanced MCP Server ROS 2 implements the Model Context Protocol (MCP) for robotics, allowing AI agents to interact directly with ROS2 ecosystems. It supports listing topics and services, subscribing and publishing messages, calling services, and retrieving message data from black boxes like influxDB. The server operates inside a Docker container, ensuring secure and isolated communication with ROS2 nodes. Its API provides tools to list, subscribe, publish, and echo messages, stream data, and perform service calls, enabling advanced automation, data analysis, and robotic control applications.
Who will use Advanced MCP Server ROS 2?
- Robotics developers
- AI researchers working in robotics
- ROS2 system integrators
- Automation engineers
- Robotics hobbyists
How to use the Advanced MCP Server ROS 2?
- Step1: Install Docker or run in a Docker environment.
- Step2: Clone the repository and build the Docker image if needed.
- Step3: Configure the MCP server settings in mcp.json file.
- Step4: Run the server inside Docker as per documentation.
- Step5: Use the API tools to list topics/services, subscribe, publish, or call services as required.
- Step6: Monitor and interact with ROS2 topics and services via the MCP.
Advanced MCP Server ROS 2's Core Features & Benefits
The Core Features
- List available topics
- List available services
- Call ROS2 services
- Subscribe to topics
- Publish messages
- Echo messages
- Get message fields
- Retrieve data from black boxes
The Benefits
- Enables seamless ROS2 and AI integration
- Supports real-time robotic data management
- Enhances automation and data analysis in robotics
- Isolates ROS2 communication within Docker for security
- Provides comprehensive API for robotic control
Advanced MCP Server ROS 2's Main Use Cases & Applications
- Robotic automation and control systems
- Data collection and analysis from ROS2 topics
- AI-driven robotic system integration
- Real-time service invocation in robotics
- Robotics research and development
FAQs of Advanced MCP Server ROS 2
Developer
- wise-vision
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.