官方说明7 个来源MCP 服务8 天前
jovezhong/mcp-timeplus
🐍 ☁️ - Apache Kafka and Timeplus: list topics, poll messages, save Kafka data locally and query streaming…
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官方说明🐍 ☁️ - Apache Kafka and Timeplus: list topics, poll messages, save Kafka data locally and query streaming data with SQL via Timeplus.
配置模板（请按你的客户端调整）
claude mcp add mcp-timeplus -- npx -y mcp-timeplus
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 12 ★ · jovezhong/mcp-timeplus · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 12 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
jovezhong/mcp-timeplus；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
Timeplus MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
An MCP server for Timeplus.
Features
Prompts
* generate_sql to give LLM more knowledge about how to query Timeplus via SQL
Tools
* run_sql
- Execute SQL queries on your Timeplus cluster.
- Input: sql (string): The SQL query to execute.
- By default, all Timeplus queries are run with readonly = 1 to ensure they are safe. If you want to run DDL or DML queries, you can set the environment variable TIMEPLUS_READ_ONLY to false.
* list_databases
- List all databases on your Timeplus cluster.
* list_tables
- List all tables in a database.
- Input: database (string): The name of the database.
* list_kafka_topics
- List all topics in a Kafka cluster
* explore_kafka_topic
- Show some messages in the Kafka topic
- Input: topic (string): The name of the topic. message_count (int): The number of messages to show, default to 1.
* create_kafka_stream
- Setup a streaming ETL in Timeplus to save the Kafka messages locally
- Input: topic (string): The name of the topic.
* connect_to_apache_iceberg
- Connect to a database based on Apache Iceberg. Currently this is only available via Timeplus Enterprise and it's planned to make it available for Timeplus Proton soon.
- Input: iceberg_db (string): The name of the Iceberg database. aws_account_id (int): The AWS account ID (12 digits). s3_bucket (string): The S3 bucket name. aws_region (string): The AWS region, default to "us-west-2". is_s3_table_bucket (bool): Whether the S3 bucket is a S3 table bucket, default to False.
Configuration
First, ensure you have the uv executable installed. If not, you can install it by following the instructions here.
1. Open the Claude Desktop configuration file located at:
- On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- On Windows: %APPDATA%/Claude/claude_desktop_config.json
2. Add the following:
Update the environment variables to point to your own Timeplus service.
3. Restart Claude Desktop to apply the changes.
You can also try this MCP server with other MCP clients, such as 5ire.
Development
1. In test-services directory run docker compose up -d to start a Timeplus Proton server. You can also download it via curl https://install.timeplus.com/oss | sh, then start with ./proton server.
2. Add the following variables to a .env file in the root of the repository.
3. Run uv sync to install the dependencies. Then do source .venv/bin/activate.
4. For easy testing, you can run mcp dev mcp_timeplus/mcp_server.py to start the MCP server. Click the "Connect" button to connect the UI with the MCP server, then switch to the "Tools" tab to run the available tools.
5. To build the Docker image, run docker build -t mcp_timeplus ..
Environment Variables
The following environment variables are used to configure the Timeplus connection:
Required Variables
* TIMEPLUS_HOST: The hostname of your Timeplus server
* TIMEPLUS_USER: The username for authentication
Features
Prompts
* generate_sql to give LLM more knowledge about how to query Timeplus via SQL
Tools
* run_sql
- Execute SQL queries on your Timeplus cluster.
- Input: sql (string): The SQL query to execute.
- By default, all Timeplus queries are run with readonly = 1 to ensure they are safe. If you want to run DDL or DML queries, you can set the environment variable TIMEPLUS_READ_ONLY to false.
* list_databases
- List all databases on your Timeplus cluster.
* list_tables
- List all tables in a database.
- Input: database (string): The name of the database.
* list_kafka_topics
- List all topics in a Kafka cluster
* explore_kafka_topic
- Show some messages in the Kafka topic
- Input: topic (string): The name of the topic. message_count (int): The number of messages to show, default to 1.
* create_kafka_stream
- Setup a streaming ETL in Timeplus to save the Kafka messages locally
- Input: topic (string): The name of the topic.
* connect_to_apache_iceberg
- Connect to a database based on Apache Iceberg. Currently this is only available via Timeplus Enterprise and it's planned to make it available for Timeplus Proton soon.
- Input: iceberg_db (string): The name of the Iceberg database. aws_account_id (int): The AWS account ID (12 digits). s3_bucket (string): The S3 bucket name. aws_region (string): The AWS region, default to "us-west-2". is_s3_table_bucket (bool): Whether the S3 bucket is a S3 table bucket, default to False.
Configuration
First, ensure you have the uv executable installed. If not, you can install it by following the instructions here.
1. Open the Claude Desktop configuration file located at:
- On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- On Windows: %APPDATA%/Claude/claude_desktop_config.json
2. Add the following:
Update the environment variables to point to your own Timeplus service.
3. Restart Claude Desktop to apply the changes.
You can also try this MCP server with other MCP clients, such as 5ire.
Development
1. In test-services directory run docker compose up -d to start a Timeplus Proton server. You can also download it via curl https://install.timeplus.com/oss | sh, then start with ./proton server.
2. Add the following variables to a .env file in the root of the repository.
3. Run uv sync to install the dependencies. Then do source .venv/bin/activate.
4. For easy testing, you can run mcp dev mcp_timeplus/mcp_server.py to start the MCP server. Click the "Connect" button to connect the UI with the MCP server, then switch to the "Tools" tab to run the available tools.
5. To build the Docker image, run docker build -t mcp_timeplus ..
Environment Variables
The following environment variables are used to configure the Timeplus connection:
Required Variables
* TIMEPLUS_HOST: The hostname of your Timeplus server
* TIMEPLUS_USER: The username for authentication
- 来源
- awesome · https://github.com/jovezhong/mcp-timeplus
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