Secure GreptimeDB MCP server for AI database access and SQL query execution
The GreptimeDB MCP Server is an essential component that enables AI applications to securely and efficiently interact with databases, via a standardized interface defined by the Model Context Protocol (MCP). This server significantly enhances AI application integration by providing a controlled environment for listing tables, reading data, executing SQL queries, and managing prompts through the MCP protocol. By leveraging GreptimeDB's powerful database capabilities, our MCP server ensures robust performance while maintaining security best practices.
The GreptimeDB MCP Server supports several core capabilities required by AI applications:
These capabilities enable AI applications such as Claude Desktop, Continue, Cursor, and others to seamlessly connect with GreptimeDB's database system. By supporting the MCP protocol, our server ensures compatibility across a wide range of AI tools while providing robust security measures.
The architecture of the GreptimeDB MCP Server is designed to integrate smoothly with various AI applications and database systems. It follows the Model Context Protocol (MCP) specifications closely, ensuring seamless communication between clients and servers.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
When an AI application requires data analysis or reporting, the MCP server facilitates secure interaction with GreptimeDB. For instance, a user can initiate the read_resource
command to fetch specific datasets from the database. The server processes this request by querying the relevant tables and returning the requested data.
In another scenario, an AI application might need to execute complex SQL queries to derive insights or automate tasks. Here, the user can use the call_tool
command to run custom queries, leveraging GreptimeDB's full capabilities. This ensures that the process is secure and reliable.
To start using the GreptimeDB MCP Server, follow these steps:
Install the required packages via pip:
pip install greptimedb-mcp-server
Set up the necessary environment variables or command-line arguments to connect your machine to the database.
The GreptimeDB MCP Server is particularly useful for use cases where:
The GreptimeDB MCP Server supports the following MCP clients:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
This compatibility ensures that a wide range of AI applications can utilize the benefits of GreptimeDB's database management system.
The server is designed to work efficiently with GreptimeDB and other MCP clients. Below is an example configuration:
{
"mcpServers": {
"greptimedb-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/path/to/greptimedb-mcp-server",
"run",
"-m",
"greptimedb_mcp_server.server"
],
"env": {
"GREPTIMEDB_HOST": "localhost",
"GREPTIMEDB_PORT": "4002",
"GREPTIMEDB_USER": "root",
"GREPTIMEDB_PASSWORD": "",
"GREPTIMEDB_DATABASE": "public"
}
}
}
}
This configuration sets the environment variables required to connect to GreptimeDB, ensuring a seamless integration with other MCP clients.
For advanced usage and security measures:
GREPTIMEDB_HOST
and GREPTIMEDB_PORT
to fine-tune the server's behavior.To start, you need to install the package via pip and set up environment variables as shown in the README.
While most clients support resources and tools, some might have limitations, particularly around prompts.
Yes, you can modify the server configuration to include custom commands and endpoints as needed for your use case.
To optimize performance, ensure that your database is well-indexed and that network latency between the client and server is minimized.
Security best practices include setting strong access controls, limiting API keys, and regularly updating dependencies to mitigate vulnerabilities.
To contribute or develop further with GreptimeDB MCP Server:
git clone https://github.com/GreptimeTeam/greptimedb-mcp-server.git
uv venv
and then activate it.uv sync
.pytest
.Contributions are welcome, and we value feedback to improve the MCP server's capabilities.
For more information about the Model Context Protocol (MCP) ecosystem:
Join the community for updates and support.
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