YAMCP (Yet Another MCP) is a command-line tool for organizing and managing MCP servers as local workspaces. It connects to multiple MCP servers, local or remote, grouping them into a unified workspace exposed as Yet Another MCP server (YAM) for AI applications.

What are MCP Servers?

MCP (Model Context Protocol) servers are remote or local servers that provide Model Context Protocol services, allowing AI models to access and interact with external data sources and tools.

What is a workspace (YAM) in YAMCP?

A workspace (YAM) is a collection of MCP servers grouped together to be shared with AI Apps (e.g., a workspace for coding, writing, design).

What is a Gateway in YAMCP?

A Gateway is a local MCP server that manages connections to configured MCP servers in a workspace and exposes them through a unified server to AI App's MCP clients.

How do I install YAMCP?

You can install YAMCP globally using npm: `npm install -g yamcp`. Alternatively, you can use `npx yamcp` to run YAMCP without installing it globally.

How do I add an MCP server to YAMCP?

You can add an MCP server using the `yamcp server add` command for an interactive setup, or import servers from a JSON configuration file using `yamcp server import [config]`.

How do I create a workspace in YAMCP?

You can create a workspace using the `yamcp yam create` command and following the interactive prompts.

How do I run a workspace?

You can run a workspace using the `yamcp run ` command.

How do I view the server logs?

You can view the server communication logs using the `yamcp log` command.

Can I use YAMCP with different AI applications?

Yes, YAMCP is designed to work with various AI applications, such as Cursor, Claude, and GitHub Copilot, by providing a unified gateway to access multiple MCP servers.

YAMCP has undergone security audits to ensure the safety and integrity of your data and configurations.

How does YAMCP relate to UBOS?

YAMCP is a valuable addition to the UBOS platform, a comprehensive AI agent development platform. It integrates seamlessly with UBOS to provide a unified environment for developing and deploying AI solutions.

YAMCP Workspace Manager – Overview

Unleash the Power of Model Context with UBOS YAMCP: Your Centralized MCP Server Management Solution

In the rapidly evolving landscape of AI, Large Language Models (LLMs) are becoming increasingly reliant on contextual data to deliver accurate, relevant, and insightful results. The Model Context Protocol (MCP) has emerged as a pivotal standard for providing this crucial context. However, managing multiple MCP servers and integrating them seamlessly with various AI applications can quickly become a complex and time-consuming challenge. That’s where UBOS YAMCP steps in – your comprehensive solution for organizing, managing, and sharing MCP servers effortlessly.

UBOS YAMCP (Yet Another MCP) is a command-line tool designed to streamline the management of MCP servers by organizing them into local workspaces. It acts as a unified hub, connecting to multiple local or remote MCP servers and grouping them into a single workspace. This workspace is then exposed as Yet Another MCP server (YAM) for easy integration with AI applications. By centralizing server management and providing a unified interface, YAMCP simplifies the complexities of working with multiple MCP servers, empowering developers and AI practitioners to focus on what matters most: building innovative and impactful AI solutions.

Think of YAMCP as your central control panel for all things MCP. It eliminates the need to juggle multiple server configurations and sift through scattered logs, offering a streamlined and efficient workflow that significantly boosts productivity. Whether you’re a seasoned AI developer or just starting your journey, YAMCP provides the tools and features you need to harness the full potential of MCP servers.

Key Features and Benefits of UBOS YAMCP:

Workspace-Based Organization: Group MCP servers into dedicated workspaces based on specific functionalities, AI applications, or any other organizational structure that suits your needs. Create separate workspaces for coding, design, research, or specific AI apps like Cursor, Claude, or Windsurf. This modular approach ensures that you have the right servers available for each task, minimizing clutter and maximizing efficiency.
Unified Gateway for AI Apps: Connect your AI applications to a single gateway that provides access to all servers within a workspace. YAMCP simplifies the integration process, allowing AI apps to seamlessly access the necessary context without requiring complex configurations or individual server connections. This unified approach reduces integration time and ensures consistency across different AI applications.
Centralized Log Management: Say goodbye to the tedious task of digging through individual AI client app logs. YAMCP centralizes all server communication logs in a single location, providing a comprehensive view of server activity. This simplifies monitoring, debugging, and troubleshooting, allowing you to quickly identify and resolve any issues that may arise.
Simplified Server Management: YAMCP offers a comprehensive set of commands for managing MCP servers, including adding, listing, removing, and importing server configurations. The interactive CLI provides a user-friendly interface for managing your servers, while the import functionality allows you to quickly onboard existing server configurations from JSON files. This streamlined management process saves time and reduces the risk of errors.
Effortless Workspace Creation and Management: Creating and managing workspaces is a breeze with YAMCP’s intuitive commands. Create new workspaces interactively, list existing workspaces, edit configurations, scan for available servers, and delete workspaces as needed. The flexible workspace management features allow you to adapt your server configuration to meet the evolving needs of your AI projects.
Seamless Runtime Execution: Running a workspace is as simple as executing a single command. YAMCP starts the gateway with the specified workspace, automatically connecting your AI applications to the appropriate MCP servers. The runtime execution is streamlined and efficient, ensuring that your AI applications have access to the necessary context without any delays.
Enhanced Monitoring and Debugging: YAMCP provides comprehensive logging capabilities, allowing you to track all server communications and identify potential issues. The centralized log management and detailed logging information significantly simplify monitoring and debugging, empowering you to quickly resolve any problems that may arise.
Flexibility and Customization: YAMCP is designed to be highly flexible and customizable, allowing you to tailor your server configuration to meet the specific needs of your AI projects. Create workspaces based on functionality, AI applications, or any other organizational structure that makes sense for your workflow. The flexible configuration options ensure that YAMCP can seamlessly integrate into your existing development environment.

Use Cases: Powering AI Innovation Across Industries

UBOS YAMCP is a versatile tool that can be applied to a wide range of AI applications across various industries. Here are just a few examples of how YAMCP can be used to enhance AI development and deployment:

Software Development: Create a dedicated YAM workspace for coding, connecting AI-powered code completion tools and documentation servers. Streamline your development workflow and improve code quality with access to relevant context.
Content Creation: Build a YAM workspace for writing and design, integrating AI-powered writing assistants, image generation tools, and knowledge bases. Enhance your creative process and produce high-quality content with ease.
Data Science: Develop a YAM workspace for data analysis and machine learning, connecting data sources, model training servers, and visualization tools. Accelerate your data science workflows and gain deeper insights from your data.
Customer Support: Integrate YAMCP with AI-powered chatbots and knowledge management systems to provide faster and more accurate customer support. Improve customer satisfaction and reduce support costs with AI-driven solutions.
Financial Services: Use YAMCP to connect AI models with real-time market data and financial analysis tools, enabling faster and more informed decision-making. Optimize investment strategies and manage risk more effectively with AI-powered insights.
Healthcare: Leverage YAMCP to integrate AI models with patient records and medical knowledge bases, assisting doctors in diagnosing diseases and recommending personalized treatment plans. Improve patient outcomes and enhance the efficiency of healthcare delivery.

Getting Started with UBOS YAMCP:

Getting started with UBOS YAMCP is quick and easy. Simply follow these steps:

Installation: Install YAMCP globally using npm: npm install -g yamcp. Alternatively, you can use npx yamcp to run YAMCP without installing it globally.
Server Import: Import your MCP server configurations using one of the following methods:
- yamcp server import [config]: Import servers from a configuration file (see src/example-servers.json for the format).
- yamcp server add: Add servers manually through the interactive CLI.
Workspace Creation: Create a new workspace using the yamcp yam create command. Follow the prompts to configure your workspace with the desired MCP servers.
Workspace Execution: Run your workspace using the yamcp run <yam-workspace-name> command. This will start the gateway and connect your AI applications to the configured MCP servers.

UBOS: The Full-Stack AI Agent Development Platform

UBOS YAMCP is a valuable addition to the UBOS platform, a comprehensive AI agent development platform designed to empower businesses to harness the full potential of AI. UBOS offers a range of tools and services for orchestrating AI agents, connecting them with enterprise data, building custom AI agents with your own LLM models, and creating multi-agent systems.

With UBOS, you can:

Orchestrate AI Agents: Design and manage complex AI agent workflows with ease.
Connect to Enterprise Data: Integrate AI agents with your existing data sources, unlocking valuable insights and automating business processes.
Build Custom AI Agents: Create tailored AI agents using your own LLM models, ensuring that your AI solutions are perfectly aligned with your specific needs.
Develop Multi-Agent Systems: Build collaborative AI systems that can tackle complex tasks and achieve greater results.

UBOS YAMCP seamlessly integrates with the UBOS platform, providing a unified and efficient environment for developing and deploying AI solutions. By combining the power of UBOS with the streamlined server management capabilities of YAMCP, you can unlock new levels of productivity and innovation in your AI projects.

Conclusion: Embrace the Future of MCP Server Management

UBOS YAMCP is the ultimate solution for organizing, managing, and sharing MCP servers. With its workspace-based organization, unified gateway, centralized log management, and simplified server management, YAMCP empowers developers and AI practitioners to streamline their workflows, boost productivity, and unlock the full potential of MCP servers. Whether you’re building AI-powered applications for software development, content creation, data science, or any other industry, YAMCP provides the tools and features you need to succeed. Embrace the future of MCP server management with UBOS YAMCP and experience the difference.