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MCP server · Data

Greptimedb

· github.com/GreptimeTeam/greptimedb

The open-source Observability 2.0 database. One engine for metrics, logs, and traces — replacing Prometheus, Loki & ES.

Unclaimed ai-observabilityanalyticscloud-nativedatabasedistributedgreptimedbllm-monitoringlogsmetricsmonitoringobject-storageobservabilityobservability-databaseobservability-datalakeopentelemetryprometheuspromqlrustsqltraces
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64Good

Scored 6 months ago · breakdown

About Greptimedb

Greptimedb is an MCP server in the Data category: the open-source Observability 2.0 database. One engine for metrics, logs, and traces — replacing Prometheus, Loki & ES.

Install

From source
git clone https://github.com/GreptimeTeam/greptimedb

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

The unified OpenTelemetry backend — with SQL + PromQL on object storage.

Introduction

GreptimeDB is an open-source observability database built for Observability 2.0 — treating metrics, logs, and traces as one unified data model (wide events) instead of three separate pillars.

Use it as the single OpenTelemetry backend — replacing Prometheus, Loki, and Elasticsearch with one database built on object storage. Query with SQL and PromQL, scale without pain, cut costs up to 50x.

Features

Feature Description
Drop-in replacement PromQL, Prometheus remote write, Jaeger, and OpenTelemetry native. Use as your single backend for all three signals, or migrate one at a time.
50x lower cost Object storage (S3, GCS, Azure Blob etc.) as primary storage. Compute-storage separation scales without pain.
SQL + PromQL Monitor with PromQL, analyze with SQL. One database replaces Prometheus + your data warehouse.
Sub-second at PB-EB scale Columnar engine with fulltext, inverted, and skipping indexes. Written in Rust.

✅ Perfect for:

  • Replacing Prometheus + Loki + Elasticsearch with one database
  • Scaling past Prometheus — high cardinality, long-term storage, no Thanos/Mimir overhead
  • Cutting observability costs with object storage (up to 50x savings on traces, 30% on logs)
  • AI/LLM observability — store and analyze high-volume conversation data, agent traces, and token metrics via OpenTelemetry GenAI conventions
  • Edge-to-cloud observability with unified APIs on resource-constrained devices

Why Observability 2.0? The three-pillar model (separate databases for metrics, logs, traces) creates data silos and operational complexity. GreptimeDB treats all observability data as timestamped wide events in a single columnar engine — enabling cross-signal SQL JOINs, eliminating redundant infrastructure, and naturally supporting emerging workloads like AI agent observability. Read more: Observability 2.0 and the Database for It.

Learn more in Why GreptimeDB.

How GreptimeDB Compares

Feature GreptimeDB Prometheus / Thanos / Mimir Grafana Loki Elasticsearch
Data types Metrics, logs, traces Metrics only Logs only Logs, traces
Query language SQL + PromQL PromQL LogQL Query DSL
Storage Native object storage (S3, etc.) Local disk + object storage (Thanos/Mimir) Object storage (chunks) Local disk
Scaling Compute-storage separation, stateless nodes Federation / Thanos / Mimir — multi-component, ops heavy Stateless + object storage Shard-based, ops heavy
Cost efficiency Up to 50x lower storage High at scale Moderate High (inverted index overhead)
OpenTelemetry Native (metrics + logs + traces) Partial (metrics only) Partial (logs only) Via instrumentation

Benchmarks:

Architecture

GreptimeDB can run in two modes:

  • Standalone Mode - Single binary for development and small deployments
  • Distributed Mode - Separate components for production scale:
    • Frontend: Query processing and protocol handling
    • Datanode: Data storage and retrieval
    • Metasrv: Metadata management and coordination

Read the architecture document. DeepWiki provides an in-depth look at GreptimeDB:

Try GreptimeDB

docker pull greptime/greptimedb

docker run -p 127.0.0.1:4000-4003:4000-4003 \
  -v "$(pwd)/greptimedb_data:/greptimedb_data" \
  --name greptime --rm \
  greptime/greptimedb:latest standalone start \
  --http-addr 0.0.0.0:4000 \
  --grpc-bind-addr 0.0.0.0:4001 \
  --mysql-addr 0.0.0.0:4002 \
  --postgres-addr 0.0.0.0:4003

Dashboard: http://localhost:4000/dashboard

Read more in the full Install Guide.

Troubleshooting:

  • Cannot connect to the database? Ensure that ports 4000, 4001, 4002, and 4003 are not blocked by a firewall or used by other services.
  • Failed to start? Check the container logs with docker logs greptime for further details.

Getting Started

Build From Source

Prerequisites:

  • Rust toolchain (nightly)
  • Protobuf compiler (>= 3.15)
  • C/C++ building essentials, including gcc/g++/autoconf and glibc library (eg. libc6-dev on Ubuntu and glibc-devel on Fedora)
  • Python toolchain (optional): Required only if using some test scripts.

Build and Run:

make
cargo run -- standalone start

Tools & Extensions

Project Status

Status: v1.0 GA — generally available and production-ready! 🎉

  • Deployed in production handling billions of data points daily
  • Stable APIs, actively maintained, with regular releases (version info)

GreptimeDB v1.0 marks a major milestone — stable APIs, production readiness, and proven performance at scale.

Learn more: v1.0 highlights and 2026 roadmap.

For production use, we recommend v1.0 or later.

If you find this project useful, a ⭐ would mean a lot to us!

Star History Chart

Community

We invite you to engage and contribute!

License

GreptimeDB is licensed under the Apache License 2.0.

Commercial Support

Running GreptimeDB in your organization? We offer enterprise add-ons, services, training, and consulting. Contact us for details.

Contributing

Acknowledgement

Special thanks to all contributors! See AUTHORS.md.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Greptimedb

How do I install Greptimedb?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Greptimedb safe to use with an AI agent?

Its trust score is 64 out of 100 (good). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Greptimedb still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.