A Model Context Protocol (MCP) server for GreptimeDB — an open-source, cloud-native, unified observability database.
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 publicFor 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 |
Get table schema including column names, types, and constraints |
explain_query |
Analyze SQL or TQL query execution plans |
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 |
- Resources: Browse tables via
greptime://<table>/dataURIs - Prompts: Built-in templates for common tasks —
pipeline_creator,log_pipeline,metrics_analysis,promql_analysis,iot_monitoring,trace_analysis,table_operation
For 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 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
# Transport (for HTTP server mode)
GREPTIMEDB_TRANSPORT=stdio # stdio, sse, or streamable-http
GREPTIMEDB_LISTEN_HOST=0.0.0.0 # HTTP server bind host
GREPTIMEDB_LISTEN_PORT=8080 # HTTP server bind portgreptimedb-mcp-server \
--host localhost \
--port 4002 \
--database public \
--user root \
--password "" \
--timezone UTC \
--pool-size 5 \
--mask-enabled true \
--transport stdioFor containerized or Kubernetes deployments. Requires mcp>=1.8.0:
# Streamable HTTP (recommended for production)
greptimedb-mcp-server --transport streamable-http --listen-port 8080
# SSE mode (legacy)
greptimedb-mcp-server --transport sse --listen-port 3000Create a read-only user in GreptimeDB using static user provider:
mcp_readonly:readonly=your_secure_password
All queries go through a security gate that:
- Blocks: DROP, DELETE, TRUNCATE, UPDATE, INSERT, ALTER, CREATE, GRANT, REVOKE, EXEC, LOAD, COPY
- Blocks: Encoded bypass attempts (hex, UNHEX, CHAR)
- Allows: SELECT, SHOW, DESCRIBE, TQL, EXPLAIN, UNION
Sensitive columns are automatically masked (******) based on column name patterns:
- Authentication:
password,secret,token,api_key,credential - Financial:
credit_card,cvv,bank_account - Personal:
ssn,id_card,passport
Configure with --mask-patterns phone,email to add custom patterns.
All tool invocations are logged:
2025-12-10 10:30:45 - greptimedb_mcp_server.audit - INFO - [AUDIT] execute_sql | query="SELECT * FROM cpu LIMIT 10" | success=True | duration_ms=45.2
Disable with --audit-enabled false.
# Clone and setup
git clone https://github.com/GreptimeTeam/greptimedb-mcp-server.git
cd greptimedb-mcp-server
uv venv && source .venv/bin/activate
uv sync
# Run tests
pytest
# Format & lint
uv run black .
uv run flake8 src
# Debug with MCP Inspector
npx @modelcontextprotocol/inspector uv --directory . run -m greptimedb_mcp_server.serverMIT License - see LICENSE.md.
Inspired by: