# TsvetanG2/cognigy-ai-mcp-management-server [Health: Active]

**Category:** 🗣️ Conversational AI  
**Repository:** https://github.com/TsvetanG2/cognigy-ai-mcp-management-server  
**GitHub Stars:** 2  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/tsvetang2-cognigy-ai-mcp-management-server

## Description
Management and automation server for the Cognigy.AI conversational AI platform, exposing 132 tools across flows, agents, snapshots, NLU, functions, and deployment. Published to the official MCP Registry. npx mcp-cognigy

## Tools
Capabilities this server exposes over MCP:

- **limit**
- **skip**

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "cognigy-ai-mcp-management-server": {
    "command": "npx",
    "args": ["-y","mcp-cognigy"]
  }
}
```

## Documentation & README

# Cognigy.AI Management MCP Server

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![cognigy-ai-mcp-management-server](docs/banner.png)

> Model Context Protocol server for managing Cognigy.AI virtual agents through the Management API
> 
> This is an independent, open-source MCP server and is not affiliated with, endorsed by, or sponsored by Cognigy or NiCE. It requires your own valid Cognigy.AI account and API key, used in accordance with Cognigy's commercial license terms. "Cognigy" and "Cognigy.AI" are trademarks of their respective owners.

## What is this?

**cognigy-ai-mcp-management-server** is a local MCP server that enables AI coding assistants (Claude, Cursor, etc.) to build, configure, test, and operate [Cognigy.AI](https://www.cognigy.com/) conversational AI agents programmatically.

Instead of clicking through the Cognigy UI, you can now:
- Create and manage flows, nodes, and intents via natural language
- Run NLU training and regression tests automatically
- Deploy snapshots and packages across environments
- Configure LLMs, Knowledge AI, and integrations

**Built for:** Developers, solution architects, and SI partners who build on Cognigy.AI.

## Requirements

- **Node.js** 20.0.0 or higher
- **Cognigy.AI account** with API access (Trial, SaaS, or on-premises)
- **API Key** generated from Cognigy UI (My Profile → API Keys)

## Installation

```bash
# 1. Install the Cognigy REST API client (required peer dependency)
npm install @cognigy/rest-api-client

# 2. Install this MCP server
npm install -g cognigy-ai-mcp-management-server
```

**Important:** The `@cognigy/rest-api-client` package is licensed under "Cognigy Proprietary License". By installing it, you agree to Cognigy's license terms.

## Configuration

Set environment variables before running:

```bash
# Required: Your Cognigy API endpoint
export COGNIGY_BASE_URL=https://api-trial.cognigy.ai

# Required: Your API key (never commit this!)
export COGNIGY_API_KEY=your-api-key-here

# Optional: Default project for operations
export COGNIGY_DEFAULT_PROJECT_ID=your-project-id
```

**Common Base URLs:**
| Environment | Base URL |
|-------------|----------|
| Trial | `https://api-trial.cognigy.ai` |
| SaaS EU | `https://api-app.cognigy.ai` |
| SaaS US | `https://api-app-us.cognigy.ai` |
| Dedicated | `https://api-<company>.cognigy.cloud` |

## MCP Client Configuration

### Claude Desktop

Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):

```json
{
  "mcpServers": {
    "cognigy": {
      "command": "npx",
      "args": ["cognigy-ai-mcp-management-server"],
      "env": {
        "COGNIGY_BASE_URL": "https://api-trial.cognigy.ai",
        "COGNIGY_API_KEY": "your-api-key-here"
      }
    }
  }
}
```

### Claude Code

Add to `.mcp.json` in your project root:

```json
{
  "mcpServers": {
    "cognigy": {
      "command": "npx",
      "args": ["cognigy-ai-mcp-management-server"],
      "env": {
        "COGNIGY_BASE_URL": "https://api-trial.cognigy.ai",
        "COGNIGY_API_KEY": "your-api-key-here"
      }
    }
  }
}
```

### Cursor

Add to `.cursor/mcp.json`:

```json
{
  "mcpServers": {
    "cognigy": {
      "command": "npx",
      "args": ["cognigy-ai-mcp-management-server"],
      "env": {
        "COGNIGY_BASE_URL": "https://api-trial.cognigy.ai",
        "COGNIGY_API_KEY": "your-api-key-here"
      }
    }
  }
}
```

## Available Tools
[All Tools](https://github.com/TsvetanG2/cognigy-ai-mcp-management-server/blob/master/TOOLS.md)

This server provides **132 MCP tools** organized by domain:

| Category | Tools | Description |
|----------|-------|-------------|
| **Projects & Flows** | 5 | List projects, flows, flow settings, logs |
| **Nodes** | 9 | CRUD operations, search, move, AI output generation |
| **Intents & NLU** | 10 | Intent management, training, scoring, audit |
| **Endpoints** | 2 | List and inspect endpoint configurations |
| **Sessions** | 2 | Inject/reset conversation context |
| **Conversations** | 3 | Fetch conversations, transcripts |
| **Playbooks & Testing** | 6 | Run playbooks, regression tests |
| **Snapshots** | 9 | Create, restore, package, diff, promote |
| **Packages** | 7 | Create, merge, upload, download |
| **Connections** | 5 | Manage API connections (secrets redacted) |
| **LLMs** | 7 | Configure generative AI providers |
| **NLU Connectors** | 5 | External NLU (Dialogflow, LUIS, etc.) |
| **Knowledge AI** | 21 | Stores, sources, chunks, connectors (RAG) |
| **Functions** | 9 | Custom code functions, instances |
| **Extensions** | 6 | Upload, configure, manage extensions |
| **Contact Profiles** | 11 | Profile CRUD, merge, export (GDPR) |
| **Analytics** | 4 | Conversation, call, knowledge metrics |
| **Audit** | 2 | Audit event logs |
| **Handover** | 7 | Live agent providers and services |
| **Search** | 1 | Organization-wide resource search |
| **Tasks** | 2 | Async task status tracking |

### Key Features

- **Safe by default:** All mutating tools use `dryRun: true` by default
- **Async-aware:** Long-running operations poll until completion
- **Security:** API keys only in memory, secrets automatically redacted
- **Pagination:** All list operations support `limit` and `skip`

## Development & Testing

### Mock-first Development

Run against Prism mock server (no Cognigy account needed):

```bash
# Terminal 1: Start mock server
npm run mock

# Terminal 2: Run tests
npm test
```

### Live API Testing

```bash
# Create .env from template
cp .env.example .env
# Edit .env with your credentials

# Run development server
npm run dev
```

### Build

```bash
npm run build    # Compile TypeScript
npm test         # Run test suite (49 tests)
npm run lint     # Check code style
```

### Regenerate Types (optional)

If you need to update the generated types from a newer Cognigy API:

```bash
npm run update:spec   # Download latest OpenAPI spec
npm run gen:types     # Regenerate TypeScript types
```

## Important: Dependencies

This package requires **`@cognigy/rest-api-client`** as a **peer dependency**. This means:

1. **You must install it separately** (see Installation above)
2. **You accept Cognigy's license terms** by installing their package
3. **We do not bundle or redistribute** any Cognigy code

**You are responsible for:**
- Reviewing and accepting Cognigy's proprietary license terms
- Having appropriate rights to use the Cognigy API
- Keeping your API credentials secure

The Cognigy REST API client is the official SDK maintained by Cognigy GmbH and is published on npm under "Cognigy Proprietary License".

## License

This MCP server is released under the **MIT License**. See [LICENSE](LICENSE) for details.

Note: The MIT license applies only to this MCP server code. Dependencies (particularly `@cognigy/rest-api-client`) are subject to their own licenses.

## Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Follow existing code patterns (Zod schemas, dryRun flags, etc.)
4. Add tests for new tools
5. Run `npm test && npm run build` before committing
6. Submit a Pull Request

### Development Guidelines

- All tools must have Zod input validation
- Mutating tools must support `dryRun` flag (default: true)
- Tool descriptions should be LLM-friendly (1-2 sentences)
- Never log or expose API keys/secrets
- Test against mock server before live API

## Support

- **Issues:** [GitHub Issues](https://github.com/TsvetanG2/cognigy-ai-mcp-management-server/issues)
- **Cognigy Docs:** [docs.cognigy.com](https://docs.cognigy.com)
- **MCP Spec:** [modelcontextprotocol.io](https://modelcontextprotocol.io)

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