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 ⤵️

https://claude.ai/share/11cb4025-a693-45a0-85a8-f9ac3bb0251b

#MCP #HowTo #OPAL #VirtuosoRDBMS

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 Agent—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

Again, all you have to do it initialize an OPAL instance from the AWS Cloud's marketplace.

https://aws.amazon.com/marketplace/pp/prodview-ynmginpwzszuo

🧰 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 #AI #GenAI #KnowledgeGraph

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.

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