What can you do with this server?

Kopern MCP Server provides 32 tools for building, testing, grading, and deploying AI agents directly from MCP-compatible clients (Claude Code, Cursor, Windsurf, etc.). * Agent Management: Create, update, delete, list, and interact with AI agents using custom system prompts, models, skills, and tools; deploy from 37 ready-made templates (BTP, Legal, E-commerce, etc.) * Grading & Optimization: Grade system prompts against test cases using 6 criteria types (output_match, schema_validation, tool_usage, safety_check, custom_script, llm_judge); create reusable grading suites; view detailed results and score history * AutoTune: Iteratively auto-optimize agent system prompts using improvement notes from grading runs until a target score is reached * Teams & Pipelines: Build multi-agent teams (parallel/sequential/conditional) and multi-step pipelines with configurable input mapping * Connectors: Deploy embeddable chat widgets; connect agents to Telegram, WhatsApp Business, Slack, inbound/outbound webhooks, Gmail/Outlook, and Google/Microsoft Calendar * Sessions & Memory: List and inspect conversation sessions with metrics; manage persistent agent memory (remember, recall, forget, list) * Utilities: Generate EU AI Act compliance reports (Articles 6, 12, 14, 52); view token usage and cost breakdowns per agent; export/import agent configurations as portable JSON

Which integrations are available for this server?

Enables connecting to Gmail for email integration, allowing agents to send/receive emails. Enables connecting to Google Calendar for calendar integration, allowing agents to manage events. Enables connecting to Slack workspace for messaging integration, allowing agents to send messages and interact. Enables connecting a Telegram bot, allowing agents to send and receive messages through Telegram. Enables connecting WhatsApp Business, allowing agents to send and receive messages through WhatsApp.

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Kopern

by berch-t

Overview Schema Related Servers Score Discussions

TypeScript

Hybrid

@kopern/mcp-server

npm version kopern MCP server License: MIT

32 AI agent tools for Claude Code, Cursor, Windsurf, and any MCP client.

Build, test, grade, and deploy AI agents — all from your terminal or IDE.

Quick Start

Claude Code

claude mcp add kopern -- npx -y @kopern/mcp-server

Then set your API key:

export KOPERN_API_KEY=kpn_your_key_here

Manual Configuration

Add to your .mcp.json (project) or ~/.claude/settings.json (global):

{
  "mcpServers": {
    "kopern": {
      "command": "npx",
      "args": ["-y", "@kopern/mcp-server"],
      "env": {
        "KOPERN_API_KEY": "kpn_your_key_here"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP settings:

{
  "mcpServers": {
    "kopern": {
      "command": "npx",
      "args": ["-y", "@kopern/mcp-server"],
      "env": {
        "KOPERN_API_KEY": "kpn_your_key_here"
      }
    }
  }
}

Streamable HTTP (no install)

If your client supports HTTP MCP transport directly:

{
  "mcpServers": {
    "kopern": {
      "type": "http",
      "url": "https://kopern.ai/api/mcp/server",
      "headers": {
        "Authorization": "Bearer kpn_your_key_here"
      }
    }
  }
}

Related MCP server: Google Analytics MCP Server

Get Your API Key

Go to kopern.ai and sign in
Navigate to Settings > API Keys
Click Generate API Key
Copy the kpn_... key

Two key types:

User-level key — access to all 30 platform tools (agent CRUD, grading, templates, etc.)
Agent-bound key — access to all 32 tools including kopern_chat and kopern_agent_info

Tools (32)

Agent Management (8 tools)

Tool	Description
`kopern_create_agent`	Create a new agent with system prompt, model, skills, and tools
`kopern_get_agent`	Get full agent configuration and metadata
`kopern_update_agent`	Update agent system prompt, model, domain, or builtin tools
`kopern_delete_agent`	Permanently delete an agent
`kopern_list_agents`	List all your agents with scores and versions
`kopern_chat`	Send a message to an agent (with tool calling)
`kopern_agent_info`	Get agent metadata (agent-bound key only)
`kopern_deploy_template`	Deploy from 37 ready-made templates (BTP, Legal, E-commerce...)

Grading & Optimization (6 tools)

Tool	Description
`kopern_grade_prompt`	Grade a system prompt against inline test cases
`kopern_create_grading_suite`	Create a reusable test suite with cases
`kopern_run_grading`	Execute a grading suite, get scores + improvement notes
`kopern_run_autoresearch`	AutoTune — iterative prompt optimization (uses improvement notes)
`kopern_get_grading_results`	Get detailed results + improvement notes for a grading run
`kopern_list_grading_runs`	List score history for a suite

Teams & Pipelines (4 tools)

Tool	Description
`kopern_create_team`	Create multi-agent teams (parallel, sequential, conditional)
`kopern_run_team`	Execute a team with a prompt
`kopern_create_pipeline`	Create multi-step pipelines with input mapping
`kopern_run_pipeline`	Execute a pipeline sequentially

Connectors (7 tools)

Tool	Description
`kopern_connect_widget`	Deploy an embeddable chat widget
`kopern_connect_telegram`	Connect a Telegram bot
`kopern_connect_whatsapp`	Connect WhatsApp Business
`kopern_connect_slack`	Connect to Slack workspace
`kopern_connect_webhook`	Set up inbound/outbound webhooks
`kopern_connect_email`	Connect Gmail or Outlook
`kopern_connect_calendar`	Connect Google or Microsoft Calendar

Sessions & Memory (3 tools)

Tool	Description
`kopern_list_sessions`	List conversation sessions with metrics
`kopern_get_session`	Get full session details (events, tool calls, tokens)
`kopern_manage_memory`	Agent memory CRUD (remember, recall, forget, list)

Utilities (4 tools)

Tool	Description
`kopern_list_templates`	Browse 37 templates (28 general + 9 vertical)
`kopern_compliance_report`	Generate EU AI Act compliance report
`kopern_get_usage`	Token usage, cost, per-agent breakdown
`kopern_export_agent`	Export agent as portable JSON
`kopern_import_agent`	Import agent from JSON export

Examples

Create an agent from your terminal

> Use kopern_create_agent to create a customer support agent for my SaaS product

Grade a prompt

> Use kopern_grade_prompt to test my system prompt with these cases:
  - "What's your refund policy?" should mention "30-day guarantee"
  - "Can I cancel?" should be empathetic and provide steps

Deploy a template

> Use kopern_list_templates to show me business templates, then deploy the "restaurant" one

Grade and improve

> Run kopern_run_grading on my agent — it will return scores AND improvement notes.
  Then run kopern_run_autoresearch to optimize using those suggestions automatically.

Full workflow

> Create an agent, add a grading suite with 5 test cases, run grading,
  then run autoresearch to optimize the prompt to 90%+ score

Environment Variables

Variable	Required	Default	Description
`KOPERN_API_KEY`	Yes	—	Your Kopern API key (`kpn_...`)
`KOPERN_URL`	No	`https://kopern.ai/api/mcp/server`	Custom endpoint URL

Architecture

This package is a lightweight stdio-to-HTTP bridge. It receives JSON-RPC messages on stdin from your MCP client, forwards them to the Kopern Streamable HTTP endpoint, and returns responses on stdout.

Claude Code ──stdin──> @kopern/mcp-server ──HTTP──> kopern.ai/api/mcp/server
            <──stdout──                   <──JSON──

The Kopern server handles all MCP protocol methods (initialize, tools/list, tools/call, ping). Zero dependencies — just Node.js 18+ and fetch.

License

MIT

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

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