jovezhong/mcp-timeplus

Overview

jovezhong/mcp-timeplus is a Model Context Protocol server that lets AI agents execute SQL queries and manage Timeplus databases. It provides tools for interacting with Timeplus data, Kafka topics, and Iceberg tables through a Python-based MCP interface.

Best for

Best for
Developers building AI agents that need to query Timeplus streaming databases

Use cases

• Query Timeplus streaming data via AI agents
• Manage Kafka topics through MCP
• Access Iceberg tables from an LLM

Notes

jovezhong/mcp-timeplus is a Model Context Protocol server that lets AI agents execute SQL queries and manage Timeplus databases. It provides tools for interacting with Timeplus data, Kafka topics, and Iceberg tables through a Python-based MCP interface.

12 stars on GitHub. Last updated 2025-07-24. Licensed Apache-2.0.

Use cases

• Query Timeplus streaming data via AI agents
• Manage Kafka topics through MCP
• Access Iceberg tables from an LLM

Pros

• Exposes Timeplus database operations via standard MCP protocol
• Enables natural language access to streaming SQL data
• Lightweight Python implementation

Cons

• Very small community (12 GitHub stars) indicates limited testing and support
• Documentation may be sparse
• Requires running an MCP host and a Timeplus instance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.