UBOS Asset Marketplace: Unleashing the Power of MCP Servers for Enhanced AI Agent Capabilities

In the rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) are emerging as pivotal tools across diverse industries. However, the true potential of LLMs is often constrained by their limited access to real-time data and external tools. This is where the Model Context Protocol (MCP) steps in, offering a standardized approach to bridge this gap. At UBOS, we recognize the transformative power of MCP and have curated an Asset Marketplace dedicated to MCP Servers, designed to empower AI Agents with secure and controlled access to a wealth of resources.

Understanding the Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. It acts as a bridge, allowing AI models to access and interact with external data sources and tools. By providing a secure, controlled, and standardized interface, MCP enables LLMs to perform tasks that were previously impossible or impractical.

Key Benefits of MCP:

• Enhanced Functionality: MCP expands the capabilities of LLMs by providing access to a vast array of tools and data sources.
• Secure Access: MCP ensures that LLMs can only access authorized data and tools, mitigating the risk of data breaches and unauthorized actions.
• Standardized Interface: MCP provides a consistent interface for LLMs to interact with different applications, simplifying integration and reducing development time.
• Increased Efficiency: By automating data retrieval and tool usage, MCP streamlines workflows and improves overall efficiency.

UBOS Asset Marketplace: Your Gateway to MCP Servers

The UBOS Asset Marketplace is a comprehensive repository of MCP Servers, each designed to provide AI Agents with specific capabilities. Whether you need to access databases, manipulate files, interact with web services, or control hardware devices, you’ll find an MCP Server that meets your needs.

Diverse Range of MCP Servers:

The UBOS Asset Marketplace boasts a rich collection of MCP Servers, catering to a wide range of use cases. These servers can be broadly categorized as follows:

• Reference Servers: These servers serve as exemplary implementations of MCP features and SDKs. Examples include:
  • AWS KB Retrieval: Accesses AWS Knowledge Base using Bedrock Agent Runtime.
  • Brave Search: Integrates Brave’s Search API for web and local searches.
  • EverArt: Enables AI image generation using various models.
  • Filesystem: Provides secure file operations with configurable access controls.
  • GitHub: Facilitates repository management, file operations, and GitHub API integration.
  • Google Drive: Enables file access and search capabilities for Google Drive.
  • Google Maps: Offers location services, directions, and place details.
  • PostgreSQL: Grants read-only database access with schema inspection.
• Third-Party Servers: These servers are developed and maintained by external companies and community contributors, extending the functionality of MCP to various platforms and services. Some notable examples include:
  • 21st.dev Magic: Creates UI components inspired by 21st.dev design engineers.
  • Adfin: Integrates payments, invoicing, and accounting reconciliations.
  • AgentQL: Enables AI agents to extract structured data from unstructured web content.
  • Aiven: Navigates Aiven projects and interacts with PostgreSQL, Apache Kafka, ClickHouse, and OpenSearch services.
  • Apify: Provides access to pre-built cloud tools for web scraping and data extraction.
  • Audiense Insights: Delivers marketing insights and audience analysis from Audiense reports.
  • Box: Interacts with the Intelligent Content Management platform through Box AI.
  • Chargebee: Connects AI agents to the Chargebee platform for subscription management.
  • ClickHouse: Queries ClickHouse databases.
  • Cloudflare: Deploys, configures, and interrogates resources on the Cloudflare developer platform.
  • Comet Opik: Queries and analyzes logs, traces, prompts, and telemetry data from LLMs.
  • Convex: Introspects and queries apps deployed to Convex.
  • Elasticsearch: Queries data in Elasticsearch.
  • Exa: Provides a search engine made for AIs.
  • Fibery: Performs queries and entity operations in Fibery workspaces.
  • Grafana: Searches dashboards, investigates incidents, and queries data sources in Grafana instances.
  • Heroku: Interacts with the Heroku Platform for managing apps, add-ons, dynos, and databases.
  • Kagi Search: Searches the web using Kagi’s search API.
  • Mailgun: Interacts with Mailgun API for email management.
  • Make: Turns Make scenarios into callable tools for AI assistants.
  • Meilisearch: Interacts and queries with Meilisearch (Full-text & semantic search API)
  • Milvus: Search, Query and interact with data in your Milvus Vector Database.
  • Neo4j: Interacts with Neo4j graph database server.
  • Oxylabs: Scrapes websites with Oxylabs Web API.
  • Paddle: Interacts with the Paddle API for managing product catalog, billing, and subscriptions.
  • Perplexity: Connects to Perplexity’s Sonar API for real-time web-wide research.
  • Qdrant: Implement semantic memory layer on top of the Qdrant vector search engine
  • Ramp: Interacts with Ramp’s Developer API to run analysis on your spend and gain insights leveraging LLMs
  • Semgrep: Enables AI agents to secure code with Semgrep.
  • SingleStore: Interacts with the SingleStore database platform
  • Stripe: Interacts with Stripe API
  • Tavily: Provides a search engine for AI agents (search + extract) powered by Tavily
  • Thirdweb: Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution.
  • Tinybird: Interacts with Tinybird serverless ClickHouse platform
  • Unstructured: Set up and interact with your unstructured data processing workflows in Unstructured Platform
  • VeyraX: Provides a single tool to control all 100+ API integrations, and UI components
  • Xero: Interacts with the accounting data in your business using our official MCP server
  • Zapier: Connects AI Agents to 8,000 apps instantly.
• Community Servers: A vast and expanding collection of servers developed and maintained by the community, showcasing diverse applications of MCP. These servers are a testament to the versatility and extensibility of MCP, enabling AI Agents to interact with a wide range of services and data sources. Examples include:
  • Airbnb: Provides tools to search Airbnb and get listing details.
  • Algorand: A comprehensive MCP server for tooling interactions and resource accessibility on the Algorand blockchain.
  • Anki: Interacts with Anki decks and cards for spaced repetition learning.
  • Atlassian: Interacts with Atlassian Cloud products (Confluence and Jira).
  • BigQuery: Enables LLMs to inspect database schemas and execute queries on BigQuery.
  • Blender: Allows prompt enabled 3D scene creation, modeling and manipulation.
  • Calculator: Enables LLMs to use calculator for precise numerical calculations.
  • ClaudePost: Enables seamless email management for Gmail.
  • Discord: Connects to Discord guilds through a bot and read and write messages in channels
  • Drupal: Server for interacting with Drupal using STDIO transport layer.
  • Elasticsearch: MCP server implementation that provides Elasticsearch interaction.
  • Excel: Excel manipulation including data reading/writing, worksheet management, formatting, charts, and pivot table.
  • Figma: Give your coding agent direct access to Figma file data, helping it one-shot design implementation.
  • Firebase: Server to interact with Firebase services including Firebase Authentication, Firestore, and Firebase Storage.
  • FlightRadar24: A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
  • Gmail: A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support.
  • Google Calendar: Google Calendar MCP Server for managing Google calendar events. Also supports searching for events by attributes like title and location.
  • HuggingFace Spaces: Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
  • Kubernetes: Connect to Kubernetes cluster and manage pods, deployments, and services.
  • Linear: Allows LLM to interact with Linear’s API for project management, including searching, creating, and updating issues.
  • MariaDB: MariaDB database integration with configurable access controls in Python.
  • Microsoft Teams: MCP server that integrates Microsoft Teams messaging (read, post, mention, list members and threads)
  • MongoDB: A Model Context Protocol Server for MongoDB.
  • MySQL: MySQL database integration with configurable access controls and schema inspection
  • Notion: Notion MCP integration. Search, Read, Update, and Create pages through Claude chat.
  • Obsidian Markdown Notes: Read and search through your Obsidian vault or any directory containing Markdown notes
  • Okta: Interact with Okta API.
  • OneNote: An MCP server that connects to Microsoft OneNote using the Microsoft Graph API. Reading notebooks, sections, and pages from OneNote,Creating new notebooks, sections, and pages in OneNote.
  • OpenAPI: Interact with OpenAPI APIs.
  • Pandoc: MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.
  • Pinecone: MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone’s Inference API.
  • Postman: MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
  • Prometheus: Query and analyze Prometheus - open-source monitoring system.
  • RabbitMQ: The MCP server that interacts with RabbitMQ to publish and consume messages.
  • Redis: Redis database operations and caching microservice server with support for key-value operations, expiration management, and pattern-based key listing.
  • Salesforce MCP: Interact with Salesforce Data and Metadata
  • Shopify: MCP to interact with Shopify API including order, product, customers and so on.
  • Slack: MCP Server that connects AI agents to Slack. Channel management and messaging capabilities
  • Snowflake: This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
  • Spotify: This MCP allows an LLM to play and use Spotify.
  • Stripe: This MCP allows integration with Stripe for handling payments, customers, and refunds.
  • Telegram: An MCP server that provides paginated chat reading, message retrieval, and message sending capabilities for Telegram through Telethon integration.
  • Todoist: Interact with Todoist to manage your tasks.
  • Typesense: A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. This server enables LLMs to discover, search, and analyze data stored in Typesense collections.
  • World Bank data API: A server that fetches data indicators available with the World Bank as part of their data API
  • X (Twitter): Interact with twitter API. Post tweets and search for tweets by query.
  • YouTube: Comprehensive YouTube API integration for video management, Shorts creation, and analytics.

How to Choose the Right MCP Server:

Selecting the appropriate MCP Server depends on your specific use case and the capabilities you want to equip your AI Agents with. Consider the following factors:

• Data Source: What data source do you need to access? (e.g., database, file system, web service)
• Tool Functionality: What tools do you need to use? (e.g., image generation, web scraping, code execution)
• Security Requirements: What level of security is required? (e.g., access controls, data encryption)
• Performance Needs: What are the performance requirements? (e.g., response time, throughput)

Seamless Integration with UBOS Platform:

The MCP Servers in the UBOS Asset Marketplace are designed to seamlessly integrate with the UBOS Platform. This integration enables you to:

• Orchestrate AI Agents: Design and manage complex workflows involving multiple AI Agents and MCP Servers.
• Connect to Enterprise Data: Securely connect AI Agents to your enterprise data sources, unlocking valuable insights.
• Build Custom AI Agents: Tailor AI Agents to your specific needs by combining different MCP Servers and LLMs.
• Create Multi-Agent Systems: Develop collaborative AI systems that leverage the strengths of multiple agents and tools.

Key Features of the UBOS Asset Marketplace:

• Curated Selection: We carefully curate the MCP Servers in our marketplace to ensure quality, security, and reliability.
• Comprehensive Documentation: Each MCP Server comes with detailed documentation, including usage instructions, configuration options, and security considerations.
• Easy Deployment: Deploy MCP Servers with just a few clicks using the UBOS Platform’s intuitive interface.
• Centralized Management: Manage all your MCP Servers from a single, centralized location.
• Version Control: Track changes to MCP Servers and easily roll back to previous versions.
• Community Support: Access a vibrant community of developers and users for support and collaboration.

Use Cases for MCP Servers:

The applications of MCP Servers are vast and span across various industries. Here are a few examples:

• Customer Service: AI Agents can access customer data from CRM systems to provide personalized support.
• Financial Analysis: AI Agents can retrieve financial data from databases and APIs to generate investment recommendations.
• Software Development: AI Agents can interact with code repositories and development tools to automate coding tasks.
• Marketing Automation: AI Agents can access marketing data and tools to create and manage marketing campaigns.
• Scientific Research: AI Agents can access scientific databases and simulation tools to accelerate research discoveries.

Getting Started with MCP Servers on UBOS:

1. Explore the Asset Marketplace: Browse the UBOS Asset Marketplace to discover the available MCP Servers.
2. Select an MCP Server: Choose the MCP Server that meets your specific needs.
3. Deploy the Server: Deploy the MCP Server using the UBOS Platform’s intuitive interface.
4. Configure the Server: Configure the MCP Server to connect to your data source and tools.
5. Integrate with AI Agents: Integrate the MCP Server with your AI Agents to enable them to access and use the server’s capabilities.
6. Monitor Performance: Monitor the performance of the MCP Server and optimize its configuration as needed.

UBOS: Your Partner in AI Agent Development

At UBOS, we are committed to empowering businesses with the tools and resources they need to build and deploy successful AI Agents. Our Asset Marketplace, featuring a comprehensive collection of MCP Servers, is just one example of our commitment. We also offer a full-stack AI Agent Development Platform, providing you with everything you need to orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

UBOS Platform Features

• Visual Agent Designer: Build complex agent workflows with an intuitive drag-and-drop interface.
• Data Connectors: Seamlessly connect to your existing data sources, including databases, APIs, and cloud storage.
• Model Management: Manage and deploy your own custom LLMs or use pre-trained models from leading providers.
• Security and Governance: Ensure the security and compliance of your AI Agents with robust access controls and monitoring.
• Scalability and Reliability: Deploy AI Agents at scale with our highly scalable and reliable platform.

With UBOS, you can unlock the full potential of AI Agents and transform your business. Contact us today to learn more about our Asset Marketplace and our AI Agent Development Platform.

By leveraging the power of MCP Servers and the UBOS Platform, you can create AI Agents that are more intelligent, more capable, and more valuable than ever before.