# Cisco NSO MCP Server

> Use this tool when you need to automate network operations using natural language, exposing Cisco NSO operations and data to enable AI-powered automation. It solves problems such as retrieving device configurations, checking sync status, and managing services, providing inputs through natural language and outputs via the NSO RESTCONF API. Ideal for use cases requiring automated network management and orchestration, streamlining tasks and improving efficiency.

Canonical page: https://skillsregistry.net/skills/nso-developer-cisco-nso-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nso-developer-cisco-nso-mcp-server

## Description

Exposes Cisco Network Services Orchestrator (NSO) operations and data as MCP tools and resources, enabling AI-powered network automation through natural language. It supports tasks like retrieving device configurations, checking sync status, and managing services via the NSO RESTCONF API.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/va6i6w3zj4)
- **Repository:** <https://github.com/NSO-developer/cisco-nso-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": "nso-developer-cisco-nso-mcp-server"
    }
  }
}
```

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