Cognigy AI Management MCP server
io.github.TsvetanG2/cognigy-ai-mcp-management-server·v0.2.1·2 starsMCP server for Cognigy.AI - 132 tools to build, configure & operate conversational AI agents
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2 stars33 downloads/wk
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Cognigy AI Management tools
No tool declarations could be read from the package source. They show once the server is installed.
How Cognigy AI Management compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 83/100
- higher than 65% of 48,255 servers
- GitHub stars
- 2
- more than 75% of 28,688 servers
- Downloads a week
- 33
- more than 22% of 12,191 servers with a package
Release history: 2 versions in the registry since 2026-07-27, latest 2026-10-04, typically one every 70 days.
Install Cognigy AI Management in Claude Code, Cursor or VS Code
Runs npx -y cognigy-ai-mcp-management-server on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add cognigy-ai-mcp-management-server -- npx -y cognigy-ai-mcp-management-server
What the publisher says
From the Cognigy AI Management repository's README, as published. We do not edit it. Read it on GitHub
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. 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
# 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-serverImportant: 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:
# 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-idCommon Base URLs:
MCP Client Configuration
Claude Desktop
Add to ~/Library/Application Support/Claude/claudedesktopconfig.json (macOS) or %APPDATA%\Claude\claudedesktopconfig.json (Windows):
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Cognigy AI Management: common questions
- Is Cognigy AI Management MCP server safe?
- Mostly: it is graded B (83/100). Read the Cognigy AI Management safety report
- How do I install Cognigy AI Management?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Cognigy AI Management need an API key?
- Yes. The registry entry asks for
COGNIGY_API_KEY. - Is Cognigy AI Management maintained?
- The last commit was 44 days ago (2026-09-21). The latest release is v0.2.1.
- How does Cognigy AI Management compare with other MCP servers?
- safety score 83/100 (higher than 65% of 48,255 servers); github stars 2 (more than 75% of 28,688 servers); downloads a week 33 (more than 22% of 12,191 servers with a package). Full comparison.