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Emisar.dev
Peaka is a Zero-ETL Data Platform that enables you to build a data stack in minutes instead of months.
With Peaka, you can integrate relational and NoSQL databases, SaaS tools, and APIsโ all without a data warehouse or ETL processes.
Some additional highlighted features:
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.
Peaka
Emisar.devPeaka's answer
What makes Peaka unique is its capability to make data integration accessible to organizations like startups and SMBs that lack the resources to employ large data teams.
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. [
Peaka's answer
Our primary audience comprises startups willing to pull in data from different sources without having to invest in a costly data stack or employ large data teams.
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.
Peaka's answer
Peaka simplifies data integration and brings your data together without complicated ETL processes. Once your data is consolidated, you can then automate repetitive work and draw insights that can inform your decision-making.
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.
Peaka's answer
Peaka leverages data virtualization technology to create a semantic layer over scattered data sources. This new layer allows users to query data from any source without any physical ETL processes.
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.
Peaka's answer
Popupsmart, OneWell, Hop, and Actioner are among Peaka's biggest customers.
Emisar.dev's answer:
Peaka's answer
Peaka started its life as Code2 - a no-code platform for developing customer-facing web apps. Having discovered that customers first needed to bring their data together before creating apps, the company went on to focus on simplifying data integration for non-technical people. In line with this new vision, the company rebranded itself as Peaka in 2023.
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.
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