databases

Timeplus

by timeplus-io

Integrate Timeplus for real-time analytics and understand the execution order of SQL queries to optimize your data explo

Integrates with Timeplus to enable SQL query execution and database information retrieval for real-time analytics and data exploration.

github stars

12

Read-only mode by default for safetyDirect Kafka integrationStreaming ETL setup

best for

  • / Real-time analytics and data exploration
  • / Streaming data engineers working with Kafka
  • / Teams using Timeplus for time-series analysis
  • / Data scientists querying streaming databases

capabilities

  • / Execute SQL queries on Timeplus clusters
  • / List databases and tables
  • / Explore Kafka topics and messages
  • / Create streaming ETL pipelines from Kafka
  • / Connect to Apache Iceberg databases
  • / Generate optimized SQL for Timeplus

what it does

Connects to Timeplus databases to run SQL queries and manage real-time streaming data. Includes tools for exploring Kafka topics and setting up streaming ETL pipelines.

about

Timeplus is a community-built MCP server published by timeplus-io that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Timeplus for real-time analytics and understand the execution order of SQL queries to optimize your data explo It is categorized under databases.

how to install

You can install Timeplus in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

Timeplus is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Timeplus MCP Server

PyPI - Version

An MCP server for Timeplus.

<a href="https://glama.ai/mcp/servers/9aleefsq9s"><img width="380" height="200" src="https://glama.ai/mcp/servers/9aleefsq9s/badge" alt="mcp-timeplus MCP server" /></a>

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:

{
  "mcpServers": {
    "mcp-timeplus": {
      "command": "uvx",
      "args": ["mcp-timeplus"],
      "env": {
        "TIMEPLUS_HOST": "<timeplus-host>",
        "TIMEPLUS_PORT": "<timeplus-port>",
        "TIMEPLUS_USER": "<timeplus-user>",
        "TIMEPLUS_PASSWORD": "<timeplus-password>",
        "TIMEPLUS_SECURE": "false",
        "TIMEPLUS_VERIFY": "true",
        "TIMEPLUS_CONNECT_TIMEOUT": "30",
        "TIMEPLUS_SEND_RECEIVE_TIMEOUT": "30",
        "TIMEPLUS_READ_ONLY": "false",
        "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"}"
      }
    }
  }
}

Update the environment variables to point to your own Timeplus service.

  1. 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.

TIMEPLUS_HOST=localhost
TIMEPLUS_PORT=8123
TIMEPLUS_USER=default
TIMEPLUS_PASSWORD=
TIMEPLUS_SECURE=false
TIMEPLUS_VERIFY=true
TIMEPLUS_CONNECT_TIMEOUT=30
TIMEPLUS_SEND_RECEIVE_TIMEOUT=30
TIMEPLUS_READ_ONLY=false
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"}
  1. Run uv sync to install the dependencies. Then do source .venv/bin/activate.

  2. 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.

  3. 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
  • TIMEPLUS_PASSWORD: The password for authentication

Optional Variables

  • TIMEPLUS_PORT: The port number of your Timeplus server
    • Default: 8443 if HTTPS is enabled, 8123 if disabled
    • Usually doesn't need to be set unless using a non-standard port
  • TIMEPLUS_SECURE: Enable/disable HTTPS connection
    • Default: "false"
    • Set to "true" for secure connections
  • TIMEPLUS_VERIFY: Enable/disable SSL certificate verification
    • Default: "true"
    • Set to "false" to disable certificate verification (not recommended for production)
  • TIMEPLUS_CONNECT_TIMEOUT: Connection timeout in seconds
    • Default: "30"
    • Increase this value if you experience connection timeouts
  • TIMEPLUS_SEND_RECEIVE_TIMEOUT: Send/receive timeout in seconds
    • Default: "300"
    • Increase this value for long-running queries
  • TIMEPLUS_DATABASE: Default database to use
    • Default: None (uses server default)
    • Set this to automatically connect to a specific database
  • TIMEPLUS_READ_ONLY: Enable/disable read-only mode
    • Default: "true"
    • Set to "false" to enable DDL/DML
  • TIMEPLUS_KAFKA_CONFIG: A JSON string for the Kafka configuration. Please refer to librdkafka configuration or take the above example as a reference.

FAQ

What is the Timeplus MCP server?
Timeplus is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Timeplus?
This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.671 reviews
  • Charlotte Park· Dec 24, 2024

    We wired Timeplus into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Shikha Mishra· Dec 20, 2024

    Useful MCP listing: Timeplus is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Ganesh Mohane· Dec 16, 2024

    Timeplus has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Zara Taylor· Dec 12, 2024

    According to our notes, Timeplus benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Tariq Jain· Dec 12, 2024

    Timeplus reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Sophia Torres· Dec 12, 2024

    Strong directory entry: Timeplus surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ira Desai· Dec 8, 2024

    We wired Timeplus into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Camila Yang· Nov 27, 2024

    We evaluated Timeplus against two servers with overlapping tools; this profile had the clearer scope statement.

  • Henry Jackson· Nov 19, 2024

    Timeplus is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Zara Jackson· Nov 15, 2024

    We evaluated Timeplus against two servers with overlapping tools; this profile had the clearer scope statement.

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