Query and analyze GreptimeDB metrics, logs and traces via SQL, TQL and RANGE queries.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"greptimedb": {
"args": [
"--host",
"localhost",
"--database",
"public"
],
"command": "greptimedb-mcp-server"
}
}
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A Model Context Protocol (MCP) server for GreptimeDB — an open-source observability database that handles metrics, logs, and traces in one engine.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'greptimedb-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked greptimedb-mcp-server against OSV.dev.
Click any tool to inspect its schema.
table_dataBrowse tables via greptime URIs
greptime://{table}/data
pipeline_creatorTemplate for creating pipelines
log_pipelineTemplate for log pipeline analysis
metrics_analysisTemplate for metrics analysis
promql_analysisTemplate for PromQL analysis
iot_monitoringTemplate for IoT monitoring
trace_analysisTemplate for trace analysis
table_operationTemplate for table operations
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A Model Context Protocol (MCP) server for GreptimeDB — an open-source observability database that handles metrics, logs, and traces in one engine.
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.
# Install
pip install greptimedb-mcp-server
# Run (connects to localhost:4002 by default)
greptimedb-mcp-server --host localhost --database public
For Claude Desktop, add this to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"greptimedb": {
"command": "greptimedb-mcp-server",
"args": ["--host", "localhost", "--database", "public"]
}
}
}
| Tool | Description |
|---|---|
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 |
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-pruning counters) |
health_check | Check database connection status and server version |
| Tool | Description |
|---|---|
list_pipelines | List all pipelines or get details of a specific pipeline |
create_pipeline | Create a new pipeline with YAML configuration |
dryrun_pipeline | Test a pipeline with sample data without writing to database |
delete_pipeline | Delete a specific version of a pipeline |
| Tool | Description |
|---|---|
list_dashboards | List all Perses dashboard definitions |
create_dashboard | Create or update a Perses dashboard definition |
delete_dashboard | Delete a dashboard definition |
greptime://<table>/data URIspipeline_creator, log_pipeline, metrics_analysis, promql_analysis, trace_analysis, table_operation, schema_design_advisor, observability_correlation, ingestion_troubleshooting, query_performance_tuningFor LLM integration and prompt usage, see docs/llm-instructions.md.
GREPTIMEDB_HOST=localhost # Database host
GREPTIMEDB_PORT=4002 # MySQL protocol port (default: 4002)
GREPTIMEDB_USER=root # Database user
GREPTIMEDB_PASSWORD= # Database password
GREPTIMEDB_DATABASE=public # Database name
GREPTIMEDB_TIMEZONE=UTC # Session timezone
# Optional
GREPTIMEDB_HTTP_PORT=4000 # HTTP API port for pipeline/dashboard management
GREPTIMEDB_HTTP_PROTOCOL=http # HTTP protocol (http/https)
GREPTIMEDB_POOL_SIZE=5 # Connection pool size
GREPTIMEDB_MASK_ENABLED=true # Enable sensitive data masking
GREPTIMEDB_MASK_PATTERNS= # Additional patterns (comma-separated)
GREPTIMEDB_AUDIT_ENABLED=true # Enable audit logging
GREPTI
... [View full README on GitHub](https://github.com/GreptimeTeam/greptimedb-mcp-server#readme)