etcd-mcp-server
The mcp-server-etcd is a model context protocol server designed to work with etcd, a distributed key-value store, to manage and coordinate distributed systems.
The mcp-server-etcd is a robust and efficient server that leverages the Model Context Protocol (MCP) to facilitate communication and coordination between distributed systems using etcd. It is designed to handle large-scale deployments by providing a reliable and consistent way to manage configuration data, service discovery, and distributed locking. The server ensures high availability and fault tolerance, making it ideal for cloud-native applications and microservices architectures. By integrating with etcd, mcp-server-etcd offers a scalable solution for managing dynamic environments where configuration and state need to be consistently maintained across multiple nodes.
Features
- High Availability: Ensures continuous operation and minimal downtime through distributed architecture.
- Scalability: Easily handles growing workloads by efficiently managing resources across multiple nodes.
- Consistency: Maintains consistent state and configuration data across distributed systems.
- Service Discovery: Facilitates automatic detection of services and their endpoints.
- Distributed Locking: Provides mechanisms to prevent race conditions and ensure data integrity.
Usage with Different Platforms
etcd
yaml
version: '3.7'
services:
etcd:
image: quay.io/coreos/etcd:v3.4.13
environment:
- ETCDCTL_API=3
command: ["/usr/local/bin/etcd"]
ports:
- "2379:2379"
- "2380:2380"
docker
dockerfile
FROM quay.io/coreos/etcd:v3.4.13
COPY ./mcp-server-etcd /usr/local/bin/mcp-server-etcd
CMD ["/usr/local/bin/mcp-server-etcd"]
Frequently Asked Questions
What is the primary use case for mcp-server-etcd?
The primary use case for mcp-server-etcd is to manage and coordinate distributed systems by providing a reliable and consistent way to handle configuration data, service discovery, and distributed locking.
How does mcp-server-etcd ensure high availability?
mcp-server-etcd ensures high availability through its distributed architecture, which allows it to continue operating even if some nodes fail.