Building MCP Servers with Streaming Data (2026)

The Model Context Protocol (MCP) connects AI agents to external data sources through a standardized interface. A streaming database like RisingWave is an ideal MCP data provider — it maintains always-current materialized views that MCP servers expose to Claude, ChatGPT, Copilot, and custom agents. With 97M+ monthly SDK downloads and support from Anthropic, OpenAI, Google, and Microsoft, MCP is the emerging standard for AI data access.

What Is an MCP Server?

An MCP server exposes resources (data) and tools (actions) to AI agents:

AI Agent ←→ MCP Client ←→ MCP Server ←→ Data Source
                                          ↓
                                    RisingWave (streaming views)

Resources = queryable data. Tools = executable actions. The agent discovers what's available and requests what it needs.

RisingWave as MCP Data Provider

RisingWave's MCP server exposes streaming materialized views as resources:

• List sources: See all available streaming sources and sinks
• Query views: Run SQL queries against materialized views
• Get metadata: Schema information for available views

Agent: "What's the current order status for customer 12345?"
  → MCP Client → RisingWave MCP Server
  → SELECT * FROM customer_context WHERE id = '12345'
  → Returns: {plan: 'enterprise', open_tickets: 2, spend_30d: 45000}

Why Streaming + MCP?

A streaming database provides the freshest possible context through MCP — materialized views update within milliseconds, and MCP exposes them to any compatible agent.

Frequently Asked Questions

Does RisingWave have a built-in MCP server?

Yes. RisingWave provides an MCP server that allows AI assistants (Claude Desktop, VS Code Copilot) to query streaming data using natural language.

What AI tools support MCP?

Claude (Anthropic), ChatGPT (OpenAI), Copilot (Microsoft), Gemini (Google), and thousands of custom agents. The MCP registry lists 6,400+ servers.