jovezhong/mcp-timeplus
by Various
Execute SQL queries and manage databases seamlessly with Timeplus. Leverage powerful tools to interact with your data, Kafka topics, and Iceberg tables efficiently. Enhance your da
MCP
jovezhong/mcp-timeplus
Added 1 June 2026
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
How to use
Tools exposed
run_sqllist_databaseslist_tableslist_kafka_topicsexplore_kafka_topiccreate_kafka_streamconnect_to_apache_iceberg
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "mcp-timeplus": {\n "command": "uvx",\n "args": ["mcp-timeplus"],\n "env": {\n "TIMEPLUS_HOST": "<timeplus-host>",\n "TIMEPLUS_PORT": "<timeplus-port>",\n "TIMEPLUS_USER": "<timeplus-user>",\n "TIMEPLUS_PASSWORD": "<timeplus-password>",\n "TIMEPLUS_SECURE": "false",\n "TIMEPLUS_VERIFY": "true",\n "TIMEPLUS_CONNECT_TIMEOUT": "30",\n "TIMEPLUS_SEND_RECEIVE_TIMEOUT": "30",\n "TIMEPLUS_READ_ONLY": "false",\n "TIMEPLUS_KAFKA_CONFIG": "{\"bootstrap.servers\":\"a.aivencloud.com:28864\", \"sasl.mechanism\":\"SCRAM-SHA-256\",\"sasl.username\":\"avnadmin\", \"sasl.password\":\"thePassword\",\"security.protocol\":\"SASL_SSL\",\"enable.ssl.certificate.verification\":\"false\"}"\n }\n }\n }\n} 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.
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
Pairs with
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