Another major benefit of Anthropic’s Claude Desktop support for remote MCP servers is the ability to combine powerful data access and visualization in notebooks that can be shared via web links.
OPAL MCP server example: an earlier demo ⤵️
claude.ai/share/11cb40...
What’s happening here?
An A2A Orchestrator is interacting with an LLM-powered AI Agent that exposes procedures, functions, 3rd party APIs etc., as MCP-accessible tools.
All made possible by the, in deceptively simple manner, by the OpenLink AI Layer (OPAL).
#MCP #A2A #GenAI
Here’s an example of A2A and MCP working in concert: a Data Twingler—built from tools that perform SQL or SPARQL queries—responds to requests from an A2A Orchestrator, which receives input from the user.
#MCP #A2A #Screencast #OPAL #SQL #SPARQL #DataSpaces #KnowledgeGraph #DBMS
Why Should You Care?
MCP-accessible, free, widely used edition of an innovative multi-model DBMS and application server—powered entirely by open protocols and query language implementations.
#OpenSource #VirtuosoRDBMS #KnowledgeGraph #SPARQL #SQL #GraphQL #DBMS #DataSpaces #MCP
🧰 This is what modern AI infrastructure looks like.
Here’s a quick showcase featuring AnthropicAI’s Claude Desktop interacting with a live OPAL instance that queries the DBpedia Knowledge Graph—entirely instructed using natural language.
#MCP #OPAL #Screencast
🧠 This isn’t just about AI hype.
It’s a working example of how loosely coupled software, rooted in decades of standards-based middleware and Semantic Web architecture, is making modern AI useful—fast, secure, scalable, and enterprise-grade.
4/N 🧵
⚙️ Deploying to the cloud? It’s simple:
1. Go to the AWS Marketplace
2. Instantiate the OPAL AMI
3. Open {cname}/chat and log in
4. Plug in your favorite LLM API key from providers
Enjoy!
3/N 🧵
💡 Why it matters:
This is software—redefined.
Natural language is now a first-class UI/UX component. Data Spaces—databases, knowledge graphs, and filesystems—are loosely coupled with LLMs.
And it all runs, with ease, where you need it: in the cloud or at the edge.
2/N 🧵
🚀 Just Released: The New Cloud-Deployable OpenLink AI Layer (OPAL)
We’re pleased to announce the immediate availability of the latest edition of the OpenLink AI Layer (OPAL)—now equipped with powerful MCP and A2A protocol support, on both the client and server sides.
1/N 🧵
#MCP #OPAL #A2A
🚀 Virtuoso Open Source 7.2.15 is out!
A high-performance, multi-model DBMS supporting SQL, SPARQL & GraphQL. Also a Web App Server (HTTP, WebDAV, OpenAPI) & MCP-accessible via ODBC, JDBC, pyODBC & ado.net.
🔗 community.openlinksw.com/t/virtuoso-o...
#VirtuosoRDBMS #OpenSource
Attached is a simple MCP demo using the new mcp-odbc-server with our multi-model Virtuoso platform for data access, integration, and management.
#MCP #ODBC #VirtuosoRDBMS #SQL #SPARQL #DataConnectivity #LinkedData #HowTo
The Model Context Protocol (MCP) acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC enables seamless integration of any ODBC-accessible data into RAG pipelines.
www.linkedin.com/pulse/whats-...
This week’s edition of my @LinkedIn newsletter shines a light on the impact of the Model Context Protocol (MCP) across multiple computing eras—leading right up to today.
We’ve arrived at a moment where loose coupling principles are cool (and super useful) again.
🔗 www.linkedin.com/pulse/model-...
Historically, software quality has been weakened by the dilution that occurs as conceptual ideas are handed off from specification → coding → QA → documentation—each step involving people with different skill sets, incentives, and interpretations.
A new era begins, where that gap can finally close.
This is the real game-changer that AI introduces—finally making software more powerful and flexible through direct domain expert engagement.
The EU (across many key projects) has been one of our major customers—successfully rolling out and expanding their use of #VirtuosoRDBMS for over a decade.
#UseCase #OPAL #VirtuosoRDBMS #AI #GenAI
These operations include:
- Native and virtual database queries via SQL, SPASQL, SPARQL, and GraphQL
- Metadata exploration across relational tables and knowledge graphs
- DB Admin & Governance
- Interaction with all bound Large Language Models (LLMs)
- Integration with AI agents
- etc..
On the client side, OPAL can bind to operations (tools) published by any MCP server that supports Streamable HTTP or Server-Sent Events (SSE).
On the server side, its operations (tools) are exposed to any MCP-compliant client.
💥Boom!
The MCP Server for our OpenLink Software AI Layer (OPAL for short) is now generally available for both cloud-based and on-premise deployment.
This sophisticated and secure implementation of the Model Context Protocol (MCP) supports both client and server roles:
#MCP #VirtuosoRDBMS
Here's the prompt:
Using JDBC with the following connection details:
URL: jdbc:oracle:thin:@oracle-host:1521:XE
Credentials: UID=hr, PWD=openlink
Write a query to produce a dashboard summarizing job history by employee.
Link to the Claude Artifact generated: claude.ai/public/artif...
#MCP
An example of what’s now possible—thanks to our sophisticated MCP Server for JDBC, Oracle’s native JDBC Driver, and Anthropic's Claude Desktop as the MCP client:
A dashboard generated from Oracle’s HR database using the following natural language prompt.
Using the MCP services at: awsnews.remotemcp.directory
Operations bound to the services offered via the following Streamable HTTP endpoint:
awsnews.remotemcp.directory
Chat UI Options:
* linkeddata.uriburner.com/chat
* inspect.mcp.garden#chat (via linkeddata.uriburner.com/chat/mcp/mes...)
Integrating services (tools) published by a 3rd party MCP Server
Screenshot capturing use of services provided by 3rd party MCP server
One more thing, OPAL implements MCP as both a Client and Server, so it can bind to operations (tools) published by other MCP Servers that support SSE or Streamable HTTP.
Links in the next reply for a quick example.
Related Links:
🔗 community.openlinksw.com/t/introducin... -- Introducing the OPAL MCP Server
🔗 community.openlinksw.com/t/openlink-a... -- OPAL Cloud Edition for the Amazon EC2 Cloud
#MCP #OPAL #VirtuosoRDBMS #AI #GenAI
4/ What next?
Take a look at OPAL by:
✅ Deploying it via cloud or on-premise
✅ Building AI-driven assistants for customer support, database queries & more
✅ Upskill your team —end-users, developers, product owners, marketers, & leadership in general
3/ Benefits?
It bridges the gap between AI, enterprise data, and real-world applications:
🔹 Developers: Build AI-powered tools with flexible data access
🔹 End Users: Query data using natural language prompts
🔹 Decision Makers: Gain fast, AI-driven insights for better choices
2/ It enables any MCP Client supporting SSE or Streamable HTTP to dynamically discover and invoke:
- SQL, SPARQL & GraphQL queries
- Metadata introspection
- AI Agent collaboration (#VirtuosoRDBMS Support Assistant, Data Twingler Assistant, etc.)
- Supported LLM listing & Use
Introducing the OpenLink AI Layer (OPAL) MCP Server
1/ This MCP Server is a game-changer for loosely coupling AI Agents & Data Spaces (databases, knowledge graphs, filesystems) coupling.
#MCP #VirtuosoRDBMS #OPAL #AI
Successfully imported operations from your MCP Server into our OPAL (OpenLink AI Layer) MCP Client, using the Streamable HTTP Server endpoint.
linkeddata.uriburner.com/chat/mcp/mes... -- Streamable HTTP Endpoint.
linkeddata.uriburner.com/chat -- Chat UI
