GreptimeTeam/greptimedb-mcp-server

Overview

A Model Context Protocol (MCP) server for GreptimeDB, written in Python. It exposes GreptimeDB functionality through the MCP standard so AI agents can query and manage time-series data.

Best for

Best for
Developers integrating AI agents with GreptimeDB time-series data via the Model Context Protocol

Use cases

• Querying time-series metrics from GreptimeDB via AI assistants
• Creating and managing tables in GreptimeDB programmatically
• Building MCP-compatible tools that read or write time-series data

How to use

Install

npx @modelcontextprotocol/inspector uv --directory . run -m greptimedb_mcp_server.server

Tools exposed

• execute_sql
• execute_tql
• query_range
• describe_table
• explain_query
• health_check
• list_pipelines
• create_pipeline
• dryrun_pipeline
• delete_pipeline
• list_dashboards
• create_dashboard
• delete_dashboard

Tested with

Claude Desktop

Notes

A Model Context Protocol (MCP) server for GreptimeDB, written in Python. It exposes GreptimeDB functionality through the MCP standard so AI agents can query and manage time-series data.

27 stars on GitHub. Last updated 2026-04-14. Licensed MIT.

Use cases

• Querying time-series metrics from GreptimeDB via AI assistants
• Creating and managing tables in GreptimeDB programmatically
• Building MCP-compatible tools that read or write time-series data

Pros

• Implements the open MCP standard for interoperability
• Open source, code is available on GitHub
• Python-based, easy to extend or modify

Cons

• Low star count (27) indicates early stage and limited adoption
• Only available in Python
• Requires running a separate server alongside GreptimeDB

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.