# Cisco RADKit MCP Server

> Use this tool when you need to interact with Cisco network devices using natural language, to discover device inventory, fetch device attributes, and execute CLI commands. It solves problems related to network device management, automation, and monitoring by providing a user-friendly interface to access device information and perform actions. The tool accepts natural language inputs and outputs device data and command execution results, making it ideal for network administrators and operators seeking to streamline device management tasks.

Canonical page: https://skillsregistry.net/skills/anvikasa-mcpradkit  
JSON: https://api.skillsregistry.net/v1/skills/anvikasa-mcpradkit

## Description

Enables interaction with Cisco network devices through the RADKit SDK, allowing users to discover device inventory, fetch device attributes, and execute CLI commands via natural language.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/giy970vaq8)
- **Repository:** <https://github.com/anvikasa/mcpradkit>

## 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": "anvikasa-mcpradkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anvikasa-mcpradkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anvikasa-mcpradkit/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