UBOS Asset Marketplace: Unleash the Power of MCP Servers for AI Agents

In the rapidly evolving landscape of Artificial Intelligence, Large Language Models (LLMs) are emerging as powerful tools for various applications. However, their effectiveness hinges on their ability to access and interact with relevant information from external sources. This is where the Model Context Protocol (MCP) comes into play.

The UBOS Asset Marketplace provides a curated collection of MCP servers, which act as bridges between LLMs and external data sources and tools. These servers enable AI agents to securely and efficiently access the information they need to perform complex tasks, make informed decisions, and drive innovation.

What is MCP and Why Does It Matter?

MCP is an open protocol that standardizes how applications provide context to LLMs. It defines a common interface for LLMs to request and receive information from various sources, ensuring seamless integration and interoperability.

Here’s why MCP is crucial for AI development:

• Enhanced Contextual Awareness: MCP servers provide LLMs with access to real-time data, domain-specific knowledge, and external tools, enabling them to generate more accurate, relevant, and insightful responses.
• Improved Security and Control: MCP allows developers to control the flow of information between LLMs and external sources, ensuring data privacy and security. Granular access controls can be implemented to restrict access to sensitive data.
• Increased Efficiency and Scalability: MCP simplifies the integration of LLMs with various data sources and tools, reducing development time and effort. It also enables the creation of scalable AI solutions that can handle large volumes of data.
• Extensibility and Versatility: The MCP protocol is designed to be extensible, allowing developers to create custom servers that connect LLMs to any data source or tool. This versatility makes MCP suitable for a wide range of applications.

UBOS Asset Marketplace: Your Gateway to MCP Servers

The UBOS Asset Marketplace is a comprehensive resource for discovering, accessing, and utilizing MCP servers. It offers a diverse collection of servers, including:

• Reference Servers: These servers, maintained by the MCP community, demonstrate the core features of the protocol and provide examples of how to implement MCP servers using different programming languages and technologies.
• Third-Party Servers: These servers are developed and maintained by companies building production-ready MCP servers for their platforms, providing seamless integration with popular services and applications.
• Community Servers: This growing collection of community-developed servers showcases the versatility of MCP across various domains, offering solutions for specific use cases and industries.

Key Features of the UBOS Asset Marketplace:

• Curated Collection: The marketplace features a carefully curated selection of MCP servers, ensuring quality, security, and reliability.
• Detailed Documentation: Each server listing includes comprehensive documentation, providing developers with the information they need to understand, configure, and utilize the server.
• Easy Deployment: The marketplace simplifies the deployment of MCP servers, allowing developers to quickly integrate them into their AI applications.
• Community Support: The UBOS community provides a supportive environment for developers to connect, share knowledge, and collaborate on MCP-related projects.

Reference Servers: A Deep Dive

The UBOS Asset Marketplace offers a rich set of reference servers, each designed to showcase specific MCP functionalities and SDK usage. Let’s explore some of the notable examples:

• AWS KB Retrieval: Seamlessly retrieves information from AWS Knowledge Base using Bedrock Agent Runtime, enabling LLMs to leverage vast knowledge repositories within the AWS ecosystem.
• Brave Search: Integrates Brave’s Search API for both web and local search, providing LLMs with comprehensive search capabilities.
• EverArt: Empowers AI image generation using diverse models, allowing LLMs to create stunning visuals.
• Everything: Functions as a reference and testing server with prompts, resources, and tools, serving as a versatile sandbox for MCP experimentation.
• Fetch: Efficiently fetches and converts web content for LLM usage, optimizing the process of extracting information from websites.
• Filesystem: Provides secure file operations with configurable access controls, ensuring data integrity and security when LLMs interact with file systems.
• Git: Offers tools to read, search, and manipulate Git repositories, enabling LLMs to analyze codebases and manage software projects.
• GitHub: Facilitates repository management, file operations, and GitHub API integration, connecting LLMs to the world of open-source development.
• GitLab: Integrates the GitLab API, enabling project management and collaboration within GitLab environments.
• Google Drive: Provides file access and search capabilities for Google Drive, connecting LLMs to personal and professional document repositories.
• Google Maps: Offers location services, directions, and place details, enabling LLMs to provide location-aware services.
• Memory: Implements a knowledge graph-based persistent memory system, allowing LLMs to store and retrieve information over time.
• PostgreSQL: Grants read-only database access with schema inspection, enabling LLMs to query and analyze data stored in PostgreSQL databases.
• Puppeteer: Enables browser automation and web scraping, allowing LLMs to interact with websites and extract information programmatically.
• Sentry: Retrieves and analyzes issues from Sentry.io, enabling LLMs to identify and resolve software problems.
• Sequential Thinking: Facilitates dynamic and reflective problem-solving through thought sequences, enhancing the reasoning capabilities of LLMs.
• Slack: Provides channel management and messaging capabilities, enabling LLMs to communicate and collaborate within Slack workspaces.
• Sqlite: Enables database interaction and business intelligence capabilities, empowering LLMs to analyze data stored in SQLite databases.
• Time: Offers time and timezone conversion capabilities, enabling LLMs to handle time-sensitive tasks.

Third-Party Servers: Official Integrations

The UBOS Asset Marketplace also features official integrations from companies building production-ready MCP servers for their platforms. Here are some notable examples:

• 21st.dev Magic: Create crafted UI components inspired by the best 21st.dev design engineers.
• Apify: Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more.
• Axiom: Query and analyze your Axiom logs, traces, and all other event data in natural language.
• Browserbase: Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more).
• Cloudflare: Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1).
• E2B: Run code in secure sandboxes hosted by E2B.
• eSignatures: Contract and template management for drafting, reviewing, and sending binding contracts.
• Exa: Search Engine made for AIs by Exa.
• Firecrawl: Extract web data with Firecrawl.
• Fireproof: Immutable ledger database with live synchronization.
• Grafana: Search dashboards, investigate incidents and query datasources in your Grafana instance
• IBM wxflows: Tool platform by IBM to build, test and deploy tools for any data source
• Integration App: Interact with any other SaaS applications on behalf of your customers.
• JetBrains: Work on your code with JetBrains IDEs
• Kagi Search: Search the web using Kagi’s search API
• Lingo.dev: Make your AI agent speak every language on the planet, using Lingo.dev Localization Engine.
• Meilisearch: Interact & query with Meilisearch (Full-text & semantic search API)
• Metoro: Query and interact with kubernetes environments monitored by Metoro
• MotherDuck: Query and analyze data with MotherDuck and local DuckDB
• Needle: Production-ready RAG out of the box to search and retrieve data from your own documents.
• Neo4j: Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
• Neon: Interact with the Neon serverless Postgres platform
• Oxylabs: Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
• Qdrant: Implement semantic memory layer on top of the Qdrant vector search engine
• Raygun: Interact with your crash reporting and real using monitoring data on your Raygun account
• Riza: Arbitrary code execution and tool-use platform for LLMs by Riza
• Search1API: One API for Search, Crawling, and Sitemaps
• Stripe: Interact with Stripe API
• Tavily: Search engine for AI agents (search + extract) powered by Tavily
• Tinybird: Interact with Tinybird serverless ClickHouse platform
• Verodat: Interact with Verodat AI Ready Data platform

Community Servers: Untapped Potential

The UBOS Asset Marketplace also fosters a vibrant ecosystem of community-developed MCP servers. These servers, while untested and used at your own risk, showcase the diverse applications of MCP across various domains. Here are some examples:

• AWS S3: A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents
• Airtable: Read and write access to Airtable databases, with schema inspection.
• AlphaVantage: MCP server for stock market data API AlphaVantage
• Anki: An MCP server for interacting with your Anki decks and cards.
• ArangoDB: MCP Server that provides database interaction capabilities through ArangoDB.
• Atlassian: Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
• BigQuery: (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
• Calendar: Google Calendar integration server enabling AI assistants to manage calendar events through natural language interactions.
• CFBD API: An MCP server for the College Football Data API.
• ChatMCP: – An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by AIQL
• ChatSum: Query and Summarize chat messages with LLM. by mcpso
• Chroma: Vector database server for semantic document search and metadata filtering, built on Chroma
• Cloudinary: Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details.
• Contentful-mcp: Read, update, delete, publish content in your Contentful space(s) from this MCP Server.
• DeepSeek MCP Server: Model Context Protocol server integrating DeepSeek’s advanced language models, in addition to other useful API endpoints
• Descope: An MCP server to integrate with Descope to search audit logs, manage users, and more.
• Discord: A MCP server to connect 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.
• ElevenLabs: A server that integrates with ElevenLabs text-to-speech API capable of generating full voiceovers with multiple voices.
• Everything Search: Fast file searching capabilities across Windows (using Everything SDK), macOS (using mdfind command), and Linux (using locate/plocate command).
• 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.
• Goal Story: a Goal Tracker and Visualization Tool for personal and professional development.
• Google Calendar: Integration with Google Calendar to check schedules, find time, and add/delete events
• Google Tasks: Google Tasks API Model Context Protocol Server.
• Home Assistant: Interact with Home Assistant including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
• HubSpot: HubSpot CRM integration for managing contacts and companies. Create and retrieve CRM data directly through Claude chat.
• JDBC: Connect to any JDBC-compatible database and query, insert, update, delete, and more. Supports MySQL, PostgreSQL, Oracle, SQL Server, sqllite and more.
• JSON: JSON handling and processing server with advanced query capabilities using JSONPath syntax and support for array, string, numeric, and date operations.
• Keycloak MCP: This MCP server enables natural language interaction with Keycloak for user and realm management including creating, deleting, and listing users and realms.
• Linear: Allows LLM to interact with Linear’s API for project management, including searching, creating, and updating issues.
• MongoDB: A Model Context Protocol Server for MongoDB.
• MySQL: MySQL database integration in NodeJS with configurable access controls and schema inspection
• Notion: Interact with Notion API.
• Obsidian Markdown Notes: Read and search through your Obsidian vault or any directory containing Markdown notes
• OpenAPI: Interact with OpenAPI APIs.
• OpenCTI: Interact with OpenCTI platform to retrieve threat intelligence data including reports, indicators, malware and threat actors.
• 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.
• RabbitMQ: The MCP server that interacts with RabbitMQ to publish and consume messages.
• RAG Web Browser: An MCP server for Apify’s open-source RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown.
• Redis: Redis database operations and caching microservice server with support for key-value operations, expiration management, and pattern-based key listing.
• Replicate: Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.
• Salesforce MCP: Interact with Salesforce Data and Metadata
• Scholarly: A MCP server to search for scholarly and academic articles.
• 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.
• TMDB: This MCP server integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.
• Todoist: Interact with Todoist to manage your tasks.
• Travel Planner: Travel planning and itinerary management server integrating with Google Maps API for location search, place details, and route calculations.
• Vega-Lite: Generate visualizations from fetched data using the VegaLite format and renderer.
• Video Editor: A Model Context Protocol Server to add, edit, and search videos with Video Jungle.
• Windows CLI: MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells.
• 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.

Frameworks

• EasyMCP: (TypeScript)
• FastMCP: (TypeScript)
• Foxy Contexts: – A library to build MCP servers in Golang by strowk
• Quarkus MCP Server SDK: (Java)

For clients:

• codemirror-mcp: CodeMirror extension that implements the Model Context Protocol (MCP) for resource mentions and prompt commands

Resources

• AiMCP: A collection of MCP clients&servers to find the right mcp tools by Hekmon
• Awesome Crypto MCP Servers by badkk: A curated list of MCP servers by Luke Fan
• Awesome MCP Servers by appcypher: A curated list of MCP servers by Stephen Akinyemi
• Awesome MCP Servers by punkpeye: (website) - A curated list of MCP servers by Frank Fiegel
• Awesome MCP Servers by wong2: (website) - A curated list of MCP servers by wong2
• Discord Server: – A community discord server dedicated to MCP by Frank Fiegel
• MCP Badges: – Quickly highlight your MCP project with clear, eye-catching badges, by Ironben
• MCP Servers Hub: (website) - A curated list of MCP servers by apappascs
• MCP X Community: – A X community for MCP by Xiaoyi
• mcp-cli: - A CLI inspector for the Model Context Protocol by wong2
• mcp-get: - Command line tool for installing and managing MCP servers by Michael Latman
• mcp-manager: - Simple Web UI to install and manage MCP servers for Claude Desktop by Zue
• MCPHub: – An Open Source MacOS & Windows GUI Desktop app for discovering, installing and managing MCP servers by Jeamee
• mcp.run: - A hosted registry and control plane to install & run secure + portable MCP Servers.
• Open-Sourced MCP Servers Directory: - A curated list of MCP servers by mcpso
• OpenTools: - An open registry for finding, installing, and building with MCP servers by opentoolsteam
• PulseMCP: (API) - Community hub & weekly newsletter for discovering MCP servers, clients, articles, and news by Tadas Antanavicius, Mike Coughlin, and Ravina Patel
• r/mcp: – A Reddit community dedicated to MCP by Frank Fiegel
• Smithery: - A registry of MCP servers to find the right tools for your LLM agents by Henry Mao
• Toolbase: - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by gching

UBOS: The Full-Stack AI Agent Development Platform

While the UBOS Asset Marketplace provides access to a wide range of MCP servers, UBOS goes beyond simply connecting LLMs to external data sources. It offers a comprehensive platform for building, orchestrating, and deploying AI agents.

UBOS empowers you to:

• Orchestrate AI Agents: Design and manage complex workflows involving multiple AI agents, each performing specific tasks.
• Connect to Enterprise Data: Seamlessly integrate AI agents with your existing enterprise data sources, enabling them to access and utilize valuable information.
• Build Custom AI Agents: Create custom AI agents tailored to your specific needs, leveraging your own LLM models and unique business logic.
• Develop Multi-Agent Systems: Build sophisticated AI systems that leverage the collective intelligence of multiple agents working together.

Use Cases for MCP Servers and UBOS

The combination of MCP servers and the UBOS platform opens up a wide range of use cases across various industries:

• Customer Service: AI agents can access customer data from CRM systems, order history, and knowledge bases to provide personalized and efficient support.
• Sales and Marketing: AI agents can analyze market trends, identify potential leads, and personalize marketing campaigns based on customer preferences.
• Financial Analysis: AI agents can access financial data, analyze market trends, and generate investment recommendations.
• Healthcare: AI agents can access patient records, analyze medical images, and assist doctors in diagnosis and treatment planning.
• Education: AI agents can provide personalized learning experiences, grade assignments, and answer student questions.

Getting Started with MCP Servers on UBOS

Integrating MCP servers with UBOS is a straightforward process:

1. Explore the UBOS Asset Marketplace: Browse the marketplace to discover the MCP servers that meet your specific needs.
2. Deploy the Servers: Utilize UBOS’s deployment tools to quickly and easily deploy the selected MCP servers.
3. Configure Your AI Agents: Configure your AI agents to access the deployed MCP servers, providing them with the necessary credentials and access controls.
4. Orchestrate Your Workflows: Design and manage complex workflows that leverage the capabilities of multiple AI agents and MCP servers.
5. Monitor and Optimize: Monitor the performance of your AI agents and MCP servers, and optimize your workflows for maximum efficiency and effectiveness.

Conclusion

The UBOS Asset Marketplace, combined with the power of the UBOS platform, provides a comprehensive solution for leveraging MCP servers to enhance the capabilities of AI agents. By providing secure, efficient, and scalable access to external data sources and tools, UBOS empowers developers to build innovative AI applications that drive business value.

Explore the UBOS Asset Marketplace today and unlock the full potential of MCP servers for your AI initiatives!