What if your terminal could reason, debug, and automate like a seasoned engineer?
With Gemini CLI + the right MCP servers — it can.
At AiOpsOne®, we’re obsessed with building intelligent DevOps workflows — from AI-powered incident responders to Kubernetes health agents. But lately, we’ve been exploring something that’s changing the game for solo developers and SRE teams alike:
Gemini CLI + open-source MCP servers = your own intelligent coding agent.
We’ve spent the past few days testing 30+ MCP servers that extend what Gemini CLI can do. Here’s our top 6 picks — based on real-world use, reproducibility, and engineering utility.
1. 🧠 Context7 MCP
Turn Gemini into a real-time documentation wizard.
Tired of hallucinated code examples and outdated APIs? Context7 MCP gives Gemini live, version-specific documentation pulled straight from source repositories.
No more searching MDN or digging through docs — Gemini has it.
Use it for:
✅ Frontend frameworks (React, Vue, Svelte)
✅ API wrappers and SDKs
✅ Anything that changes rapidly
2. 📁 Filesystem MCP
Let Gemini read, write, and refactor your codebase.
This one’s a beast. Gemini can edit files, match patterns, and even preview diffs before changes apply.
We used it to automate YAML and Dockerfile tweaks across a monorepo. 10/10 experience.
Features you’ll love:
- Dry-run mode
- Indentation-aware edits
- Recursive folder refactoring
3. 🔗 GitMCP
Connect Gemini to any GitHub repo in seconds.
Whether you’re working on internal tools or OSS, GitMCP lets Gemini browse live code, understand repo structure, and avoid making dumb suggestions.
Our test: 3x fewer hallucinations, 5x better explanations of unfamiliar repos.
Works with:
- Private repos (via token)
- GitHub Pages
- Codebase exploration tools
4. 🔄 Sequential Thinking MCP
Give Gemini structured reasoning like a lead architect.
Complex problems need step-by-step breakdowns. Sequential MCP enables Gemini to think in flows, revise its logic, and build systems intelligently.
Ideal for system design, IaC, and debugging multi-service errors.
Great for:
- Root cause analysis
- Architecture planning
- Hypothesis-driven debugging
🔗 GitHub – Sequential Thinking MCP
5. 🛢 Supabase MCP Server
Use Gemini as your database assistant.
Gemini can now read your Supabase schema, run safe queries, and even generate TypeScript interfaces — all without risking data loss.
Perfect for prototyping DB-first apps or inspecting production safely in read-only mode.
Bonus: Works beautifully with Prisma + Drizzle setups too.
6. 🌐 Playwright MCP
Add browser automation to your AI workflows.
Scraping. UI testing. Form-filling. Accessibility audits.
With Playwright MCP, Gemini understands the DOM semantically — and automates in seconds.
It’s the missing link between terminal automation and real-world interaction.
Supports:
- Chrome, Edge, Firefox, WebKit
- Screenshots, network tracing, proxies
- Visual or vision mode
💡 Final Thoughts from AiOpsOne®
With these 6 MCP servers plugged in, Gemini CLI becomes a DevOps engineer’s Swiss Army knife:
- Context7 → for up-to-date docs
- GitMCP → for code analysis
- Filesystem MCP → to execute changes
- Supabase MCP → to prototype schemas
- Sequential Thinking → to plan smarter
- Playwright MCP → to test and extract
You don’t need to “build” AI agents from scratch to get value.
With Gemini CLI and these plug-and-play MCP servers, you’re halfway to your own personal code co-pilot.
#gemini-cli #mcp-server #aiops #agentic-workflows #devops
