# cucm-emulator-mcp

> cucm-emulator-mcp — calltelemetry-cucm-emulator-mcp. Use this tool when you need to simulate and automate telephony operations, such as call routing and simulation, on Cisco Unified Communications Manager (CUCM) systems. It solves problems related to testing and automation of CUCM instances by providing a dynamic interface for AI agents to interact with emulator instances. It accepts inputs for telephony operations and outputs simulated call data and CDR buffers, making it ideal for use cases involving automated testing and quality assurance of CUCM configurations.

Canonical page: https://skillsregistry.net/skills/calltelemetry-cucm-emulator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/calltelemetry-cucm-emulator-mcp

## Description

Enables AI assistants and automation agents to interact with Cisco CUCM Emulator instances through dynamically generated tools for telephony operations, call simulation, routing policies, CDR buffers, and optional offline mock state.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbvw5ljg6l)
- **Repository:** <https://github.com/calltelemetry/cucm-emulator-mcp>

## 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": "calltelemetry-cucm-emulator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/calltelemetry-cucm-emulator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/calltelemetry-cucm-emulator-mcp/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