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Timeplus MCP Server: Real-Time Analytics, Seamless Scaling - MCP Implementation

Timeplus MCP Server: Real-Time Analytics, Seamless Scaling

Unleash real-time data potential with Timeplus MCP Server—smarter workflows, seamless scaling, and zero hassle. Your data just got future-ready.

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About Timeplus MCP Server

What is Timeplus MCP Server: Real-Time Analytics, Seamless Scaling?

Imagine a Swiss Army knife for real-time data crunching—Timeplus MCP Server is your all-in-one toolkit. It’s like having a superhero sidekick that handles streaming data, scales effortlessly, and lets you query databases faster than you can say "pivot table." Whether you’re tracking live metrics or juggling petabytes of data, this server keeps up without breaking a sweat.

How to Use Timeplus MCP Server: Real-Time Analytics, Seamless Scaling?

Getting started is as easy as brewing coffee. First, configure your settings like a digital barista: set up environment variables (think of them as your coffee machine’s "strong vs. weak" button). Next, connect the server to your tools dashboard—no coding wizardry required. Need a quick fix? The "mcp dev" command spins up a test environment faster than your morning commute.

Timeplus MCP Server Features

Key Features of Timeplus MCP Server: Real-Time Analytics, Seamless Scaling?

Here’s the secret sauce:

  • Run SQL like a pro: Query streams in real-time with SQL—no need to learn a new language.
  • Kafka explorer mode: Dive into Kafka topics like a data archaeologist, no shovel required.
  • Scaling on demand: Grow from a single node to a cluster without rewriting code—like resizing your desk from a coffee shop table to a corporate war room.

Use Cases of Timeplus MCP Server: Real-Time Analytics, Seamless Scaling?

Where does it shine? Let’s count the ways:

  • Real-time dashboards: Monitor sales spikes or server crashes before your coffee gets cold.
  • Data pipelines: Migrate legacy systems to modern analytics without the drama of a system reboot.
  • Kafka debugging: Troubleshoot Kafka streams like a detective solving "the case of the missing message."

Timeplus MCP Server FAQ

FAQ from Timeplus MCP Server: Real-Time Analytics, Seamless Scaling?

Q: Do I need a PhD in distributed systems to use this?
A: Nope. We kept it simple—like a user manual that doesn’t make you feel dumb.

Q: What if I accidentally set the server to "read-only"?
A: Just flip the TIMEPLUS_READ_ONLY switch. No need to panic—your data stays safe.

Q: Can it handle my massive IoT dataset?
A: Absolutely. It’s like a fitness trainer for your data—ready to scale with your workload.

Content

Timeplus MCP Server

PyPI - Version

An MCP server for Timeplus.

mcp-timeplus MCP server

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.

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`
  1. 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.

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.

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