Kopern
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| KOPERN_API_KEY | Yes | Your personal API key generated from Settings > Personal API Key on kopern.ai, or an agent-bound key from the MCP/API tab. |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
| prompts | {} |
| resources | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| 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 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. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| create-agent | Step-by-step guide to create, configure and deploy a new AI agent on Kopern |
| grade-and-improve | Create a grading suite, run evaluation, and optimize an existing agent with AutoResearch |
| deploy-everywhere | Deploy an agent to all available channels: widget, Slack, Telegram, WhatsApp, webhooks |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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