Opengemini Mcp Server

1 Apache-2.0

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AI Systems

CNCF openGemini MCP Server

What is Opengemini Mcp Server

openGemini-mcp-server is an implementation of the Model Context Protocol (MCP) for the CNCF openGemini project. It provides a secure and structured way for AI assistants to explore and analyze databases.

Use cases

Use cases for openGemini-mcp-server include data analysis for AI models, database management tasks, and querying large datasets efficiently in research and development environments.

How to use

To use openGemini-mcp-server, install it via pip with ‘pip install .’. Then, configure the Claude Desktop by adding the MCP server settings in the configuration file, specifying the openGemini host, port, user, and password. Finally, restart Claude Desktop to apply the changes.

Key features

Key features of openGemini-mcp-server include listing databases, listing measurements within a database, reading sample data from measurements, and executing InfluxQL queries on the openGemini cluster.

Where to use

openGemini-mcp-server can be used in various fields that require database exploration and analysis, particularly in AI applications where structured data interaction is essential.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Opengemini Mcp Server

Use cases

Use cases for openGemini-mcp-server include data analysis for AI models, database management tasks, and querying large datasets efficiently in research and development environments.

How to use

Key features

Where to use

openGemini-mcp-server can be used in various fields that require database exploration and analysis, particularly in AI applications where structured data interaction is essential.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

openGemini-mcp-server

A Model Context Protocol (MCP) server implementation for CNCF openGemini.

This server provides AI assistants with a secure and structured way to explore and analyze databases.

Capabilities

list_databases
- List all databases on your openGemini cluster.
list_measurements
- List all measurements in a database.
- Input: database (string): The name of the database.
read_resource
- Read sample data from a measurement.
- Input: measurement (string): The name of the measurement.
execute_influxql
- Execute an InfluxQL on your openGemini cluster.
- Input: query (string): InfluxQL query to execute.
- Only support query start with SELECT or SHOW.

Installation

pip install .

Configuration

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
Add the following:

{
  "mcpServers": {
    "mcp-openGemini": {
      "command": "/path/to/python",
      "args": [
        "-m",
        "mcp_openGemini.server"
      ],
      "env": {
        "OPENGEMINI_HOST": "<opengemini-host>",
        "OPENGEMINI_PORT": "<opengemini-port>",
        "OPENGEMINI_USER": "<opengemini-user>",
        "OPENGEMINI_PASSWORD": "<opengemini-password>"
      }
    }
  }
}

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

Restart Claude Desktop to apply the changes.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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