srelensOps & cloud
srelens
A local-first Kubernetes desktop workspace and MCP server built in Rust for engineers and AI agents.
- DevOps
- Backend
- Full stack
- QA / Testing
- Monitoring / Observability
- Productivity
- AI coding
- Desktop
- CLI
- Web
- macOS
- Linux
- Windows
- Browser
- Self-hostable
- Runs locally
- Docker supported
- Popularity
- 192 Stars
- GitHub stars
- Recent activity
- 10/2/2026
- Updated in the last 30 days
- License
- MIT
- Permissive
Why it matters
We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.
Problem
Cluster troubleshooting often scatters tasks across multiple tools; this project attempts to address this fragmentation by combining a local-first desktop workspace with an MCP server.
Practical value
It offers a comprehensive set of features including multi-cluster management, live resource browsing, log streaming, terminals, port forwarding, and Helm support.
Innovation / differentiation
The key differentiator is the built-in MCP server allowing AI agents to collaborate with engineers using the same backend capabilities, all via direct local cluster connection.
Leverage potential
Built on Tauri v2, React 19, and Rust, it provides flexibility for both lightweight desktop execution and containerized multi-user web deployment.
Why now
It arrives at a time when AI-assisted operations and local-first tooling are gaining traction, aligning with engineers' demands for security and smart collaboration.
Community activity
In the last 90 days there were 314 new issues and 463 pull requests; the bounded issue/PR samples include 5 issue authors and 5 PR contributors, with 31 releases.
Maintainer responsiveness
The 100-issue window sample had a 75% close rate, and the 100-pull-request sample had a 100% merge rate. Maintainer-response observations covered 88% of that issue sample, with a 0% response rate and median first response of not enough data.
Key highlights
- Multi-cluster context management and hotbar switching with color coding
- Live resource browsing and YAML editing with schema validation, dry-run diffs, and server-side apply
- Log streaming with container filters, previous instance logs, and export options
Quick start
How it is installed, how hard it is, and where to start.
Where it runs
Runs locally
Difficulty
Easy — follow the steps
- 01Download the binary for macOS, Linux, or Windows from GitHub Releases, or run the Docker image for web deployment.
- 02Launch srelens to automatically load and organize cluster contexts from your local kubeconfig.
- 03(Optional) Enable the MCP server in Settings or run
srelens --mcp-stdioin your terminal to connect AI agents.
Best for
- Teams that want data on their own servers
- Developers who want to try it on their machine
- People who prefer Docker deploys
More about it
srelens is an open-source Kubernetes desktop workspace built with Tauri v2, React 19, and a Rust backend using kube-rs and tokio. It relies on local kubeconfig credentials to communicate directly with Kubernetes API servers without routing traffic through an external service.
The application integrates daily operation utilities, including pod exec sessions, privileged node shells, port forwarding, Helm release management, and a tool manager for kubectl and krew. High-risk operations such as scaling down, node draining, or resource deletion are gated behind interactive confirmation prompts.
srelens also includes a built-in Model Context Protocol (MCP) server generated from its core capabilities. Compatible AI clients can interact with clusters over stdio or loopback HTTP under explicit confirmation and RBAC permissions.
Sources
Each field shows its status and source — expand to review.
12 · Expand
Sources
Each field shows its status and source — expand to review.
capability tags
Verifiedmonitoring, productivity, ai_coding
Source: admin_cms · cms editor · 8/14/2026
Latest release
Verifiedsrelens-v0.15.0
Source: GitHub API · latest_release=srelens-v0.15.0 · 10/2/2026
License
VerifiedMIT
Source: GitHub API · license.spdx_id=MIT · 10/2/2026
needs api key
VerifiedNo
Source: admin_cms · cms editor · 8/14/2026
One-liner
Verified{"en":"A local-first Kubernetes desktop workspace and MCP server built in Rust for engineers and AI agents.","zh":"基于 Rust 和 Tauri v2 构建的本地优先 Kubernetes 桌面工作站与 MCP 服务器，支持工程师及 AI Agent 协同运维。"}
Source: admin_cms · cms editor · 8/14/2026
Platforms
Verifiedmacos, linux, windows, browser
Source: admin_cms · cms editor · 8/14/2026
Category hint
Inferred from materialsai-apps
Source: Project README · hint=ai-apps · 8/14/2026
product forms
Verifieddesktop, cli, web
Source: admin_cms · cms editor · 8/14/2026
role tags
Verifieddevops, backend, fullstack, qa
Source: admin_cms · cms editor · 8/14/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=true · 10/2/2026
supports local
VerifiedYes
Source: admin_cms · cms editor · 8/14/2026
supports self host
VerifiedYes
Source: admin_cms · cms editor · 8/14/2026
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