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. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| prompts | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| kopern_list_templatesA | List all 37 AI agent templates (28 general + 9 vertical/business). Returns slug, title, domain, tagline. No LLM cost. |
| kopern_list_agentsA | List all your Kopern agents (name, description, model, domain, grading score). No LLM cost. |
| kopern_grade_promptA | 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_agentA | Create a new AI agent with a system prompt, model, and optional skills. Returns the agentId. |
| kopern_get_agentA | Get full details of an agent: system prompt, model, skills count, tools count, grading suites count. |
| kopern_update_agentA | Update any part of an agent: config, skills, tools, or extensions. Use add/remove arrays for granular control over subcollections. |
| kopern_delete_agentA | Permanently delete an agent and all its data (skills, tools, grading suites, sessions, connectors). |
| kopern_deploy_templateA | 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_suiteA | Create a grading suite with test cases on an agent. Each case has an input prompt and expected behavior for evaluation. |
| kopern_run_gradingA | Run a grading suite on an agent. Executes all test cases, evaluates with configured criteria, returns detailed scores. Uses YOUR API keys. |
| kopern_run_autoresearchA | 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_teamA | Create a multi-agent team. Agents work together in parallel, sequential (chain), or conditional (router) mode. |
| kopern_run_teamA | Execute a multi-agent team on a prompt. Returns each agent's output and the final combined result. Uses YOUR API keys. |
| kopern_connect_widgetA | Enable the embeddable chat widget for an agent. Returns the embed code for your website. |
| kopern_connect_telegramA | Connect an agent to Telegram via a bot. Requires a bot token from @BotFather. |
| kopern_connect_whatsappA | Connect an agent to WhatsApp Business. Requires Meta Cloud API credentials. |
| kopern_connect_slackA | Connect an agent to Slack. Returns an OAuth install URL to authorize in your browser (Slack requires interactive OAuth). |
| kopern_connect_webhookA | 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_pipelineA | Create a multi-step pipeline on an agent. Steps chain agents sequentially with configurable input mapping. |
| kopern_run_pipelineA | Execute a pipeline on a prompt. Steps run sequentially, each feeding its output to the next. Uses YOUR API keys. |
| kopern_list_sessionsA | List conversation sessions for an agent. Shows purpose, source, token usage, cost, timestamps. No LLM cost. |
| kopern_get_sessionA | Get full details of a session including message events, tool calls, and metrics. No LLM cost. |
| kopern_manage_memoryA | 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_reportA | 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_resultsA | Get detailed results of a grading run: per-case scores, agent outputs, criteria evaluations, improvement notes. No LLM cost. |
| kopern_list_grading_runsA | List grading runs for a suite. Shows score history, pass rates, and versions over time. No LLM cost. |
| kopern_connect_emailA | 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_calendarA | 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_usageA | Get token usage and cost metrics. Shows input/output tokens, cost, grading runs, and per-agent breakdown. No LLM cost. |
| kopern_export_agentA | 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_agentA | 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 | |
TDQS
Scored across 31 tools
Each tool has a clearly distinct purpose, from agent lifecycle management to external service connections and evaluation. Even similar tools like kopern_create_agent and kopern_deploy_template are differentiated by the template-based bulk creation. No significant overlap.
All tools follow the consistent pattern 'kopern_verb_noun' in lowercase snake_case. Verbs like connect, create, delete, get, list, run, update are used predictably, making the toolset easy to navigate.
With 31 tools, the server is on the higher end but justifiably so due to the broad scope covering agent creation, connections, grading, pipelines, teams, and more. The count is appropriate for the comprehensive feature set without feeling bloated.
The tool surface appears complete for an agent management server: full CRUD for agents, integration with multiple external services, grading, optimization, memory management, and team/pipeline execution. No obvious missing operations for the stated domain.