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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.
Google Cloud Run Emisar.devNo features have been listed yet.
It is well-suited for developers and businesses looking to deploy microservices, RESTful APIs, or containerized applications without managing servers. It is particularly beneficial for applications experiencing variable workloads or requiring high scalability.
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, Google Cloud Run seems to be more popular. It has been mentiond 93 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.
Every single one of them ran on Cloud Run. - Source: dev.to / 5 months ago
Frontend (Chainlit on Cloud Run): A Python-based UI that handles user sessions, chat history, and authentication. - Source: dev.to / 6 months ago
I built the server, which I call my podcast-assistant-mcp, using FastMCP and Google's GenAI libraries, all containerized via Docker and ready for deployment to Cloud Run. - Source: dev.to / 9 months ago
The future is getting weird in a good way. New technologies like AWS Firecracker and serverless containers (AWS Fargate, Google Cloud Run) are basically giving you VM-level security with container-level performance. - Source: dev.to / about 1 year ago
AWS Fargate, Google Cloud Run and Azure Container Apps offer services to deploy containers serverless in the cloud. The three providers are the biggest in the industry, but how do their prices compare? One thing all 3 providers have in common: Their pricing is pretty complicated and it can be hard to keep the overview. - Source: dev.to / over 1 year ago
AWS Lambda - Automatic, event-driven compute service
Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.
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