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io.github.GreptimeTeam/greptimedb-mcp-server MCP Server

io.github.GreptimeTeam/greptimedb-mcp-server

Query GreptimeDB metrics, logs, and traces with SQL, TQL, and RANGE queries; manage pipelines and dashboards.

What is the io.github.GreptimeTeam/greptimedb-mcp-server MCP server?

The GreptimeDB MCP server enables AI assistants to query and analyze GreptimeDB—an open-source observability database handling metrics, logs, and traces—using SQL, TQL (PromQL-compatible), and RANGE queries. It provides built-in security features including read-only enforcement, data masking, and audit logging, plus tools for pipeline and dashboard management.

This server bridges AI assistants to GreptimeDB for observability data analysis. Query time-series metrics, logs, and traces with multiple query languages; search tables by semantic concepts; inspect schemas and execution plans; and manage data pipelines and Perses dashboards. Built-in security gates block destructive operations by default, with optional data masking for sensitive columns and audit logging for compliance.

How to install io.github.GreptimeTeam/greptimedb-mcp-server

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • GREPTIMEDB_HOST

    GreptimeDB host address

  • GREPTIMEDB_PORT

    GreptimeDB MySQL protocol port (default: 4002)

  • GREPTIMEDB_USER

    Database username

  • GREPTIMEDB_PASSWORD
    secret

    Database password

  • GREPTIMEDB_DATABASE

    Database name to connect to

  • GREPTIMEDB_TIMEZONE

    Session timezone (default: UTC)

  • GREPTIMEDB_POOL_SIZE

    Connection pool size (default: 5)

  • GREPTIMEDB_HTTP_PORT

    HTTP API port for pipeline/dashboard management (default: 4000)

  • GREPTIMEDB_HTTP_PROTOCOL

    HTTP protocol for pipeline/dashboard API: http or https (default: http)

  • GREPTIMEDB_MASK_ENABLED

    Enable sensitive data masking (default: true)

  • GREPTIMEDB_MASK_PATTERNS

    Additional column name patterns for data masking (comma-separated)

  • GREPTIMEDB_AUDIT_ENABLED

    Enable audit logging for tool invocations (default: true)

  • GREPTIMEDB_ALLOW_WRITE

    Allow write/destructive SQL (DDL/DML) via execute_sql by skipping the security gate. DANGEROUS: only use on local or test instances (default: false)

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "greptimedb-mcp-server": {
      "command": "uvx",
      "args": [
        "greptimedb-mcp-server",
        "--host",
        "--port",
        "--database",
        "--user",
        "--password",
        "--timezone"
      ],
      "env": {
        "GREPTIMEDB_HOST": "<YOUR_GREPTIMEDB_HOST>",
        "GREPTIMEDB_PORT": "<YOUR_GREPTIMEDB_PORT>",
        "GREPTIMEDB_USER": "<YOUR_GREPTIMEDB_USER>",
        "GREPTIMEDB_PASSWORD": "<YOUR_GREPTIMEDB_PASSWORD>",
        "GREPTIMEDB_DATABASE": "<YOUR_GREPTIMEDB_DATABASE>",
        "GREPTIMEDB_TIMEZONE": "<YOUR_GREPTIMEDB_TIMEZONE>",
        "GREPTIMEDB_POOL_SIZE": "<YOUR_GREPTIMEDB_POOL_SIZE>",
        "GREPTIMEDB_HTTP_PORT": "<YOUR_GREPTIMEDB_HTTP_PORT>",
        "GREPTIMEDB_HTTP_PROTOCOL": "<YOUR_GREPTIMEDB_HTTP_PROTOCOL>",
        "GREPTIMEDB_MASK_ENABLED": "<YOUR_GREPTIMEDB_MASK_ENABLED>",
        "GREPTIMEDB_MASK_PATTERNS": "<YOUR_GREPTIMEDB_MASK_PATTERNS>",
        "GREPTIMEDB_AUDIT_ENABLED": "<YOUR_GREPTIMEDB_AUDIT_ENABLED>",
        "GREPTIMEDB_ALLOW_WRITE": "<YOUR_GREPTIMEDB_ALLOW_WRITE>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • 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 with optional runtime stats and per-partition scan metrics
  • health_check — Check database connection status and server version
  • 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
  • list_dashboards — List all Perses dashboard definitions
  • create_dashboard — Create or update a Perses dashboard definition
  • delete_dashboard — Delete a dashboard definition

Use cases

  • Query metrics and logs from GreptimeDB using SQL or PromQL-compatible TQL syntax to analyze observability data
  • Search for relevant tables by semantic concepts (e.g., 'cpu', 'memory', 'http_requests') and inspect their schemas and sample data
  • Create and test data ingestion pipelines with YAML configuration and dry-run validation before deployment
  • Analyze query performance by examining execution plans with runtime statistics and index-pruning metrics
  • Build and manage Perses dashboards for visualizing metrics and traces from GreptimeDB

io.github.GreptimeTeam/greptimedb-mcp-server MCP server FAQ

What is the GreptimeDB MCP server?

It's an MCP server that connects AI assistants to GreptimeDB, an open-source observability database. You can query metrics, logs, and traces using SQL, TQL (PromQL-compatible), and RANGE queries, plus manage pipelines and dashboards.

Is it free?

Yes, the server is MIT-licensed and open-source. GreptimeDB itself is also open-source.

How do I install it in Claude Desktop?

Install via pip: `pip install greptimedb-mcp-server`. Then add to your Claude Desktop config (`~/Library/Application Support/Claude/claude_desktop_config.json`): `{"mcpServers": {"greptimedb": {"command": "greptimedb-mcp-server", "args": ["--host", "localhost", "--database", "public"]}}}`

What authentication is required?

Set `GREPTIMEDB_USER` and `GREPTIMEDB_PASSWORD` environment variables or use CLI args `--user` and `--password`. For production, create a read-only database user in GreptimeDB.

Is it read-only by default?

Yes. All queries go through a security gate that blocks destructive operations (DROP, DELETE, INSERT, ALTER, etc.). Write mode is disabled by default and should only be enabled for local development.

What security features does it have?

Read-only enforcement by default, application-level security gate blocking destructive SQL, automatic data masking for sensitive columns (passwords, tokens, credit cards, SSNs), and audit logging of all tool invocations.

README (reference)

Source of truth, from the repository.

greptimedb-mcp-server

PyPI - Version build workflow MCP Registry MIT License

A Model Context Protocol (MCP) server for GreptimeDB — an open-source observability database that handles metrics, logs, and traces in one engine.

<!-- mcp-name: io.github.GreptimeTeam/greptimedb-mcp-server -->

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.

Quick Start

# 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"]
    }
  }
}

Features

Tools

ToolDescription
execute_sqlExecute SQL queries with format (csv/json/markdown) and limit options
execute_tqlExecute TQL (PromQL-compatible) queries for time-series analysis
query_rangeExecute time-window aggregation queries with RANGE/ALIGN syntax
search_table_semanticsFind tables by observability concept, ranked by matched terms; searches table names, semantic options, and entity declarations
query_semantic_graphQuery the semantic graph: summary (what it contains), entities (nodes), relationships (edges) over a required time window
describe_tableInspect a table profile: schema, semantic metadata, latest sample rows, and query guidance
explain_queryAnalyze 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_checkCheck database connection status and server version

search_table_semantics and the semantic metadata in describe_table read information_schema.table_semantics. A table appears there when it carries a greptime.semantic.* option or a built-in convention derives an entity declaration for it; other tables are absent. The server reads the view's column list once per process and selects only the columns it exposes. entity_declarations requires GreptimeDB 1.3; on earlier versions it is reported as a missing column rather than as an empty declaration set.

query_semantic_graph reads greptime_private.semantic_entities and greptime_private.semantic_relationships, which require GreptimeDB 1.3. At startup the server checks that both views exist, carry the columns it reads, and are readable by the connected account; when they are not, the tool is not offered and the reason is logged. Its time window is required and half-open, [start_time, end_time) over observed_at, and rows are aggregated across the 60-second observation buckets in that window.

Pipeline Management

ToolDescription
list_pipelinesList all pipelines or get details of a specific pipeline
create_pipelineCreate a new pipeline with YAML configuration
dryrun_pipelineTest a pipeline with sample data without writing to database
delete_pipelineDelete a specific version of a pipeline

Dashboard Management

ToolDescription
list_dashboardsList all Perses dashboard definitions
create_dashboardCreate or update a Perses dashboard definition
delete_dashboardDelete a dashboard definition

Resources & Prompts

  • Resources: Browse tables via greptime://<table>/data URIs
  • Prompts: Built-in Jinja templates for common tasks — pipeline_creator, log_pipeline, metrics_analysis, promql_analysis, trace_analysis, table_operation, schema_design_advisor, observability_correlation, ingestion_troubleshooting, query_performance_tuning

For LLM integration and prompt usage, see docs/llm-instructions.md.

These tools cover querying and managing data in an existing GreptimeDB. For deployment, server configuration, write protocols, pipeline syntax, schema design, and performance diagnosis, point the assistant at the GreptimeDB skills index at https://docs.greptime.com/SKILL.md.

Configuration

Environment Variables

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
GREPTIMEDB_ALLOW_WRITE=false   # Allow write/DDL via execute_sql (DANGEROUS, local/test only)

# 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 port
GREPTIMEDB_ALLOWED_HOSTS=      # DNS rebinding protection (comma-separated)
GREPTIMEDB_ALLOWED_ORIGINS=    # CORS allowed origins (comma-separated)

CLI Arguments

greptimedb-mcp-server \
  --host localhost \
  --port 4002 \
  --database public \
  --user root \
  --password "" \
  --timezone UTC \
  --pool-size 5 \
  --mask-enabled true \
  --allow-write false \
  --transport stdio

HTTP Server Mode

For containerized or Kubernetes deployments:

# Streamable HTTP (recommended for production)
greptimedb-mcp-server --transport streamable-http --listen-port 8080

# SSE mode (legacy)
greptimedb-mcp-server --transport sse --listen-port 3000

DNS Rebinding Protection

By default, DNS rebinding protection is disabled for compatibility with proxies, gateways, and Kubernetes services. To enable it, use --allowed-hosts:

# Enable DNS rebinding protection with allowed hosts
greptimedb-mcp-server --transport streamable-http \
  --allowed-hosts "localhost:*,127.0.0.1:*,my-service.namespace:*"

# With custom allowed origins for CORS
greptimedb-mcp-server --transport streamable-http \
  --allowed-hosts "my-service.namespace:*" \
  --allowed-origins "http://localhost:*,https://my-app.example.com"

# Or via environment variables
GREPTIMEDB_ALLOWED_HOSTS="localhost:*,my-service.namespace:*" \
GREPTIMEDB_ALLOWED_ORIGINS="http://localhost:*" \
  greptimedb-mcp-server --transport streamable-http

If you encounter 421 Invalid Host Header errors, either disable protection (default) or add your host to the allowed list.

Security

Read-Only Database User (Recommended)

Create a read-only user in GreptimeDB using static user provider:

mcp_readonly:readonly=your_secure_password

Application-Level Security Gate

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

Write Mode (Disabled by Default)

The server is read-only by default. For local development or testing, you can allow write/destructive SQL (DDL/DML such as CREATE, DROP, ALTER, INSERT, UPDATE, DELETE) through the execute_sql tool by enabling write mode:

# Environment variable
GREPTIMEDB_ALLOW_WRITE=true greptimedb-mcp-server

# Or CLI argument
greptimedb-mcp-server --allow-write true

When enabled, the security gate is bypassed for execute_sql, and the server logs a warning on startup.

⚠️ Danger: This lets an AI assistant run destructive statements against your database. Never enable it against production data. Combine with a read-only database user if you only need read access.

Data Masking

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.

Audit Logging

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.

Development

# 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.server

License

MIT License - see LICENSE.md.

Acknowledgement

Inspired by:

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