Official description7 sourcesMCP servers8d ago
TsvetanG2/cognigy-ai-mcp-management-server
Cognigy.AI Management MCP Server 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.
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Config template (adjust for your client)
claude mcp add cognigy-ai-mcp-management-server -- npx -y cognigy-ai-mcp-management-server
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 2 ★ · TsvetanG2/cognigy-ai-mcp-management-server · read from the repository page · (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
- Score
- score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
TsvetanG2/cognigy-ai-mcp-management-server；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
Cognigy.AI Management MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> 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 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
**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:
**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- .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):
Claude Code
Add to .mcp.json in your project root:
Cursor
Add to .cursor/mcp.json:
Available Tools
All Tools
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) |
>
> 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 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
**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:
**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- .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):
Claude Code
Add to .mcp.json in your project root:
Cursor
Add to .cursor/mcp.json:
Available Tools
All Tools
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) |
- Source
- awesome · https://github.com/TsvetanG2/cognigy-ai-mcp-management-server
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