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GreptimeDB
greptimeteam/greptimedb-mcp-server
A Model Context Protocol (MCP) server for GreptimeDB — an open-source observability database that handles metrics, logs, and traces in one engine.
Install
pip install greptimedb-mcp-serverClient configuration
{
"mcpServers": {
"greptimedb": {
"command": "greptimedb-mcp-server",
"args": [
"--host",
"localhost",
"--database",
"public"
]
}
}
}Environment variables
GREPTIMEDB_HOSTGREPTIMEDB_PORTGREPTIMEDB_USERGREPTIMEDB_PASSWORDGREPTIMEDB_DATABASEGREPTIMEDB_TIMEZONEGREPTIMEDB_HTTP_PORTGREPTIMEDB_HTTP_PROTOCOLGREPTIMEDB_POOL_SIZEGREPTIMEDB_MASK_ENABLEDGREPTIMEDB_MASK_PATTERNSGREPTIMEDB_AUDIT_ENABLED- GitHub stars
- 15
- Author
- @greptimeteam
- Category
- Database, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
About GreptimeDB
Enables AI assistants to query and analyze GreptimeDB using SQL, TQL (PromQL-compatible), and RANGE queries, with built-in security features like read-only enforcement and data masking.
Tools (8)
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…
health_check
Check database connection status and server version
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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