# Agents @Kopern.ai

> Use this tool when you need to create, optimize, and deploy AI agents efficiently, solving problems such as streamlining AI development, evaluating agent quality, and orchestrating multi-agent teams. It takes in custom system prompts, templates, and skills as inputs and outputs deployed AI agents, usage tracking, and compliance reports. Use it in contexts where you require a full AI agent lifecycle platform, from building and grading to deploying and monitoring AI agents across various channels.

Canonical page: https://skillsregistry.net/skills/kopern-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/kopern-mcp-server

## Description

Full AI agent lifecycle platform — create, grade, optimize, deploy and orchestrate AI agents from your IDE or terminal.

## What you can do

- **Build** — Create agents from 37 templates or custom system prompts, with skills, tools and extensions
- **Grade** — Evaluate agent quality with 6 criteria (output match, schema validation, tool usage, safety, custom scripts, LLM judge)
- **Optimize** — AutoResearch lab with 6 modes: AutoTune, AutoFix, Stress Lab, Tournament, Distillation, Evolution
- **Deploy** — Widget, Slack, Telegram, WhatsApp, webhooks (n8n/Zapier/Make compatible)
- **Orchestrate** — Multi-agent teams with parallel, sequential and conditional execution modes
- **Monitor** — Usage tracking, session history, compliance reports (EU AI Act)

## 32 tools in 6 categories

| Category | Tools |
|----------|-------|
| Agent CRUD | create, get, update, delete, list, import, export |
| Templates | list templates, deploy template |
| Grading | grade prompt, create suite, run grading, list runs, get results |
| Optimization | run AutoResearch |
| Deployment | connect widget, Slack, Telegram, WhatsApp, webhooks, email, calendar |
| Orchestration | create team, run team, create pipeline, run pipeline |

## 3 guided workflows (prompts)

- **create-agent** — Step-by-step agent creation from use case to deployment
- **grade-and-improve** — Evaluate and auto-optimize an existing agent
- **deploy-everywhere** — Multi-channel deployment assistant

## Getting started

1. Sign up free at [kopern.ai](https://kopern.ai)
2. Go to Settings → Personal API Key
3. Connect this MCP server with your `kpn_` key

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-07-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kopern/mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kopern-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kopern-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kopern-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt