
Continue.dev
Cursor
Windsurf Editor
Claude Code
CodeMap4AI
GitHub Copilot
Depth AI
Sourcegraph
Emisar.dev
Emisar is the last MCP server youโll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ and every call is recorded.
Continue.dev
Emisar.devNo features have been listed yet.
No Emisar.dev videos yet. You could help us improve this page by suggesting one.
Emisar.dev's answer:
emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.
Emisar.dev's answer:
The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.
Emisar.dev's answer:
Emisar.dev's answer:
Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.
Emisar.dev's answer:
emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [
Emisar.dev's answer:
Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.
Based on our record, Continue.dev seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Check Continue's documentation for the current @file syntax in your version, as context-provider behavior has evolved across releases. - Source: dev.to / 9 days ago
# This is an example configuration file # To learn more, see the full config.yaml reference: https://docs.continue.dev/reference Name: Example Config Version: 1.0.0 Schema: v1 # Define which models can be used # https://docs.continue.dev/customization/models Models: - name: my gpt-5 provider: openai model: gpt-5 apiKey: YOUR_OPENAI_API_KEY_HERE - uses: ollama/qwen2.5-coder-7b - uses:... - Source: dev.to / 8 months ago
The Setup Reality: Installing Continue was straightforward since it functions as VS Code extension. Thereโs a bit of a jump to configure. I was using Agent mode, and some of the settings have to be changed on the web UI. Right now, Iโm using two different assistants: one for my Jekyll project and the other for my Astro projects. You can customize your assistant with what they call blocks by setting things like... - Source: dev.to / about 1 year ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
CodeMap4AI - AI tools guess less when they see the full picture. CodeMap4AI builds a structured map of your codebase. Try it free.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Depth AI - AI that deeply understands your codebase