# nexthink-mcp-server

> nexthink-mcp-server — mihender50-nexthink-mcp-server. Use this tool when you need to integrate Nexthink Digital Employee Experience telemetry and automation with AI agents, enabling execution of queries, data exports, and remote actions. It solves problems related to data access, automation, and workflow triggering, providing a secure interface via OAuth2, bearer, or basic authentication. The tool accepts NQL queries and authentication credentials as inputs and outputs telemetry data, automation results, and workflow triggers.

Canonical page: https://skillsregistry.net/skills/mihender50-nexthink-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mihender50-nexthink-mcp-server

## Description

An MCP server that exposes Nexthink Digital Employee Experience (DEX) telemetry and automation to LLM agents, enabling execution of saved NQL queries, bulk async data exports, remote actions, and workflow triggers against Nexthink Infinity via secure OAuth2/bearer/basic authentication.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rze73lweo2)
- **Repository:** <https://github.com/mihender50/nexthink-mcp-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": "mihender50-nexthink-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mihender50-nexthink-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mihender50-nexthink-mcp-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