Agents @Kopern.ai
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
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- Smithery
- Author type
- human
- Updated
- 2026-07-03
Use via MCP
Resolve Agents @Kopern.ai from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.