Provides AI assistants with a secure and structured way to explore and analyze data in GreptimeDB.
A Model Context Protocol (MCP) server implementation for GreptimeDB.
This server provides AI assistants with a secure and structured way to explore and analyze databases. It enables them to list tables, read data, and execute SQL queries through a controlled interface, ensuring responsible database access.
list_resources
to list tablesread_resource
to read table datalist_tools
to list toolscall_tool
to execute an SQLlist_prompts
to list promptsget_prompt
to get the prompt by namepip install greptimedb-mcp-server
Set the following environment variables:
GREPTIMEDB_HOST=localhost # Database host
GREPTIMEDB_PORT=4002 # Optional: Database port (defaults to 4002 if not specified)
GREPTIMEDB_USER=root
GREPTIMEDB_PASSWORD=
GREPTIMEDB_DATABASE=public
Or via command-line args:
--host
the database host--port
the database port--user
the database username--password
the database password--database
the database nameConfigure the MCP server in Claude Desktop's configuration file:
Location: ~/Library/Application Support/Claude/claude_desktop_config.json
Location: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"greptimedb": {
"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"
}
}
}
}
MIT License - see LICENSE.md file for details.
uv
package manager# Clone the repository
git clone https://github.com/GreptimeTeam/greptimedb-mcp-server.git
cd greptimedb-mcp-server
# Create virtual environment
uv venv
source venv/bin/activate # or `venv\Scripts\activate` on Windows
# Install development dependencies
uv sync
# Run tests
pytest
Use MCP Inspector for debugging:
npx @modelcontextprotocol/inspector uv \
--directory \
/path/to/greptimedb-mcp-server \
run \
-m \
greptimedb_mcp_server.server
This library's implementation was inspired by the following two repositories and incorporates their code, for which we express our gratitude:
Thanks!
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