# cognigy-ai-mcp-management-server

> cognigy-ai-mcp-management-server — tsvetang2-cognigy-ai-mcp-management-server. Use this tool when you need to manage and operate conversational AI agents, such as Claude and Cursor, through a unified interface. It solves problems related to building, configuring, and testing AI assistants by providing 132 tools via the Model Context Protocol. The Cognigy.AI MCP Management Server takes in model configurations and outputs operational AI agents, ideal for use cases requiring streamlined conversational AI development and deployment.

Canonical page: https://skillsregistry.net/skills/tsvetang2-cognigy-ai-mcp-management-server  
JSON: https://api.skillsregistry.net/v1/skills/tsvetang2-cognigy-ai-mcp-management-server

## Description

MCP server for Cognigy.AI - 132 tools that let Claude, Cursor & other AI assistants build, configure, test & operate conversational AI agents via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pky0iw19an)
- **Repository:** <https://github.com/TsvetanG2/cognigy-ai-mcp-management-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tsvetang2-cognigy-ai-mcp-management-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tsvetang2-cognigy-ai-mcp-management-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tsvetang2-cognigy-ai-mcp-management-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt