Streaming Data for LLM Fine-Tuning: Continuous Training Pipelines
The Model Context Protocol (MCP) is an open standard for connecting AI agents to external data sources and tools. In 2026, MCP has 97M+ monthly SDK downloads and is supported by Anthropic, OpenAI, Google, and Microsoft. RisingWave has an MCP server that allows AI assistants to query streaming data using natural language.
What Is MCP?
MCP defines how AI agents:
- Discover available data sources and tools
- Request context (query data, call functions)
- Receive structured responses
Think of MCP as the "USB-C for AI" — a universal connector between agents and data.
RisingWave MCP Server
RisingWave's MCP server allows AI assistants (Claude Desktop, VS Code Copilot) to:
- Query materialized views for real-time context
- List available sources and sinks
- Execute SQL queries against streaming data
Why Streaming Databases + MCP?
Traditional databases serve stale data via MCP. A streaming database serves always-current data:
| MCP Source | Data Freshness | Best For |
| PostgreSQL | Last write | Static data |
| Redis | Last update | Cache data |
| RisingWave | Sub-second | Real-time context |
Frequently Asked Questions
What is MCP?
Model Context Protocol is an open standard for connecting AI agents to external data sources. It defines how agents discover, request, and receive context from databases, APIs, and tools.
Does RisingWave support MCP?
Yes. RisingWave has an MCP server that allows AI assistants to query streaming materialized views for real-time context.
