Agents @Kopern.ai
Full AI agent lifecycle platform — create, grade, optimize, deploy and orchestrate AI agents from your IDE or terminal.
What it can do
- Kopern List Templates: List all 37 AI agent templates (28 general + 9 vertical/business). Returns slug, title, domain, tagline. No LLM cost.
- Kopern List Agents: List all your Kopern agents (name, description, model, domain, grading score). No LLM cost.
- Kopern Grade Prompt: Grade a system prompt against inline test cases. Uses 6 criteria types (output_match, schema_validation, tool_usage, safety_check, custom_script, llm_judge). Returns score 0-1. Us
What data it sees
Do you need an account
An API key from the service settings is required
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
- Sign up free at kopern.ai
- Go to Settings → Personal API Key
- Connect this MCP server with your
kpn_key
How to connect
How to connect Agents @Kopern.ai to Claude
The server address to paste into Claude settings:
https://kopern.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Agents @Kopern.ai to ChatGPT
The server address to paste into ChatGPT settings:
https://kopern.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Agents @Kopern.ai to Cursor
The server address to paste into Cursor settings:
https://kopern.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (31)
Raw names from tools/list. Only developers need these.
| kopern_list_templates | List all 37 AI agent templates (28 general + 9 vertical/business). Returns slug, title, domain, tagline. No LLM cost. |
| kopern_list_agents | List all your Kopern agents (name, description, model, domain, grading score). No LLM cost. |
| kopern_grade_prompt | Grade a system prompt against inline test cases. Uses 6 criteria types (output_match, schema_validation, tool_usage, safety_check, custom_script, llm_judge). Returns score 0-1. Uses YOUR API keys. |
| kopern_create_agent | Create a new AI agent with a system prompt, model, and optional skills. Returns the agentId. |
| kopern_get_agent | Get full details of an agent: system prompt, model, skills count, tools count, grading suites count. |
| kopern_update_agent | Update an agent's configuration (name, system prompt, model, builtin tools, etc.). |
| kopern_delete_agent | Permanently delete an agent and all its data (skills, tools, grading suites, sessions, connectors). |
| kopern_deploy_template | Deploy an agent from a template (28 general + 9 vertical). Creates agent + skills + tools + grading suite in one shot. Use kopern_list_templates to see available slugs. |
| kopern_create_grading_suite | Create a grading suite with test cases on an agent. Each case has an input prompt and expected behavior for evaluation. |
| kopern_run_grading | Run a grading suite on an agent. Executes all test cases, evaluates with configured criteria, returns detailed scores. Uses YOUR API keys. |
| kopern_run_autoresearch | Run AutoTune optimization on an agent. Iteratively mutates the system prompt, re-grades, and keeps improvements. Returns the optimized score. Uses YOUR API keys. Can take several minutes. |
| kopern_create_team | Create a multi-agent team. Agents work together in parallel, sequential (chain), or conditional (router) mode. |
| kopern_run_team | Execute a multi-agent team on a prompt. Returns each agent's output and the final combined result. Uses YOUR API keys. |
| kopern_connect_widget | Enable the embeddable chat widget for an agent. Returns the <script> embed code for your website. |
| kopern_connect_telegram | Connect an agent to Telegram via a bot. Requires a bot token from @BotFather. |
| kopern_connect_whatsapp | Connect an agent to WhatsApp Business. Requires Meta Cloud API credentials. |
| kopern_connect_slack | Connect an agent to Slack. Returns an OAuth install URL to authorize in your browser (Slack requires interactive OAuth). |
| kopern_connect_webhook | Create an inbound or outbound webhook for an agent. Inbound: receive messages via HTTP POST. Outbound: send events to your URL (n8n, Zapier, Make compatible). |
| kopern_create_pipeline | Create a multi-step pipeline on an agent. Steps chain agents sequentially with configurable input mapping. |
| kopern_run_pipeline | Execute a pipeline on a prompt. Steps run sequentially, each feeding its output to the next. Uses YOUR API keys. |
| kopern_list_sessions | List conversation sessions for an agent. Shows purpose, source, token usage, cost, timestamps. No LLM cost. |
| kopern_get_session | Get full details of a session including message events, tool calls, and metrics. No LLM cost. |
| kopern_manage_memory | Manage an agent's persistent memory. Actions: remember (save key-value), recall (search by query), forget (delete by key), list (all memories). No LLM cost. |
| kopern_compliance_report | Generate an EU AI Act compliance report for an agent. Checks Art. 6 (risk), Art. 12 (audit trail), Art. 14 (human oversight), Art. 52 (transparency). No LLM cost. |
| kopern_get_grading_results | Get detailed results of a grading run: per-case scores, agent outputs, criteria evaluations, improvement notes. No LLM cost. |
| kopern_list_grading_runs | List grading runs for a suite. Shows score history, pass rates, and versions over time. No LLM cost. |
| kopern_connect_email | Connect an agent to Gmail or Outlook for email tools (read_emails, send_email, reply_email). Requires OAuth in browser. Enables the service_email builtin tool. |
| kopern_connect_calendar | Connect an agent to Google Calendar or Microsoft Calendar for scheduling tools (list_events, create_event, etc.). Requires OAuth in browser. Enables the service_calendar builtin tool. |
| kopern_get_usage | Get token usage and cost metrics. Shows input/output tokens, cost, grading runs, and per-agent breakdown. No LLM cost. |
| kopern_export_agent | Export an agent as a portable JSON object (agent config, skills, tools, extensions, grading suites with cases). Use kopern_import_agent to re-import. No LLM cost. |
| kopern_import_agent | Import an agent from a Kopern export JSON. Creates a new agent with all skills, tools, extensions, and grading suites. No LLM cost. |