Provides AI assistants with a secure and structured way to explore and analyze data in GreptimeDB.
GreptimeDB becomes available to MCP clients through the greptimedb mcp server. Provides AI assistants with a secure and structured way to explore and analyze data in GreptimeDB.
A Model Context Protocol (MCP) server for GreptimeDB — an open-source observability database that handles metrics, logs, and traces in one engine.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| execute_sql | Execute SQL queries with format (csv/json/markdown) and limit options |
| execute_tql | Execute TQL (PromQL-compatible) queries for time-series analysis |
| query_range | Execute time-window aggregation queries with RANGE/ALIGN syntax |
| search_table_semantics | Find tables by observability concept, ranked by matched terms; searches table names, semantic options, and entity declarations |
| query_semantic_graph | Query the semantic graph: summary (what it contains), entities (nodes), relationships (edges) over a required time window |
| describe_table | Inspect a table profile: schema, semantic metadata, latest sample rows, and query guidance |
| explain_query | Analyze SQL or TQL query execution plans (analyze=true for runtime stats; add verbose=true alongside analyze=true for per-partition scan metrics and index-pruni |
| health_check | Check database connection status and server version |
{
"mcpServers": {
"greptimedb": {
"command": "greptimedb-mcp-server",
"args": [
"--host",
"localhost",
"--database",
"public"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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